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Neural Networks and Artificial Intelligence - Science topic

Applying neural networks and the biological basis of the mind to artificial intelligence.
Questions related to Neural Networks and Artificial Intelligence
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In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
I'm curious to know what you think about this? This kind of solution based on an intelligent publication search system and an intelligent content analysis system of retrieved publications on an online scientific portal could be of great help to researchers and scientists. In my opinion, the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online scientific publication indexing databases makes sense if basic issues of copyright respect are met and such tools use continuously updated and objectively and scientifically verified knowledge, data and information resources. With such a solution, researchers and scientists conducting research on a specific topic would have the opportunity to review the literature within the millions of scientific publications collected on specific online scientific portals and scientific publication indexing databases. Besides, what is particularly important, the mentioned partially automated literature review would probably be realized in a relatively short time. Thus, an intelligent system for searching and analyzing the content of scientific publications would, in a short period of time, from among the millions of texts archived in specific scientific publication indexing databases, select those publications in which other researchers and scientists have described analogous, similar, related, correlated, related, etc. issues, results of scientific research conducted, selected publications within the same scientific discipline, the same topic or in the interdisciplinary field. Besides, an intelligent system for searching and analyzing the content of scientific publications could also categorize the retrieved publications into those in which other researchers and scientists confirmed analogous conclusions of conducted similar research, polemicized with the results of other researchers' research on a specific topic, obtained other results from conducted research, suggested other practical applications of obtained research results realized on the same or similar topic, etc. However, for ethical reasons and properly conducted research, i.e., respecting the research results of other researchers and scientists, it would be unacceptable for this kind of intelligent system for searching and analyzing the content of many publications available on specific databases for indexing scientific publications to enable plagiarism, i.e., to provide research results, provide retrieved content on specific issues and topics, etc., without accurately providing the source of the data, description of the source data, names of the authors of the publications, etc., and some unreliable researchers would take advantage of this opportunity. This kind of intelligent system for searching and analyzing the content of scientific publications should give for all searched publications full bibliographic descriptions, source descriptions, footnotes containing all the data that are necessary to develop full source footnotes for possible citation of specific studies, research results, theses, data, etc. contained in other publications written by other researchers and scientists. So, building this kind of intelligent tool would make sense if ChatGPT-type tools were properly improved and the system of laws for their use appropriately supplemented so that the use of ChatGPT-type tools does not violate copyrights and that these tools are used in accordance with ethics and do not generate misinformation. Improving these tools so that they do not generate disinformation, do not create "fictitious facts" in the form of descriptions, essays, photos, videos, etc. containing nicely described, presented never and nowhere seemingly facts is to keep Big Data systems updated, update data sets and information, based on which they create answers to questions, create descriptions, photos, companies and so on. This is important because current online tools like ChatGPT often create "nicely described fictitious facts," which is used to generate fake news and misinformation in online social media. When all that I have written above would be corrected and the use completed, and not only in some parts of the world but on a global scale, then the creation of a new generation of something similar to ChatGPT, which will use databases built solely on the basis of online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications would make sense and could prove helpful to people, including researchers and scientists. Besides, the current online ChatGPT-type tools are not perfect, as they draw data not directly in real-time online from specific databases and knowledge contained in selected websites and portals, but draw information, knowledge, data from an offline database created some time ago. For example, currently the most popular ChatGPT still relies on a database of data, information, etc. contained in many publication texts downloaded from selected websites and web portals but not today or yesterday downloaded only in 2021! So these are data and information already outdated on many issues. Hence the absurdities, inconsistencies with the facts, creation of "fictitious facts" by ChatGPT in a significant part of the answers generated by this system to questions asked by Internet users. In view of the above, in a number of issues, both technological, organizational, formal, normative, etc., such intelligent systems should be improved so that they can be used in open access in the applications I wrote about above.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources taken from online scientific knowledge bases, online scientific portals and online indexing databases of scientific publications?
What do you think about creating a new generation of something similar to ChatGPT, which will use exclusively online scientific knowledge resources?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
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IHMO this is the only sane way to use Large Language Models (LLMs) like ChatGPT. The idea that computer programs like ChatGPT can replace inter-human communication must be fought by all means, if necessary, through legislations.
Lately a guy in France killed himself, because ChatGPT advised him that suicide was the best way to reduce his carbon footprint .... do we need more of this ? IMHO: NO!
Remember that Artificial Intelligence has nothing to do with "intelligence" - it is a computer program which can repeat, interpolate and extrapolate known information.
AI is incapable of ANY kind of "thinking" including any kind of critical thinking.
Since LLMs only know what they are told, it is very easy to make them biased, by only teaching the information that the owner of the LLM wants repeated to the public.
Information from the current generation of LLMs comes without any kind of source information and is hard to verify. In many situations the generalizations made by the LLM are outright wrong. The lack of ability to know or verify the sources of information makes LLMs useless in most kinds of research. Even if the LLM is supplied with all relevant information (text) by the user, and asked to generalize that information, the result will often be wrong. Using LLMs is like having a pocket calculator, but you still need to check all the calculations by hand, because some of the results of the calculator can be wrong...... <- actually a good analogy.
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Hello people, I have a dataset of inhibitors as binary labels ( Zeros - Inactive , Ones - Active ). I have my ML/AI model working, now I would like to know how many are the best inhibitors out of these. Could anyone help me what should I do and what can be done to resolve my problems?
TIA
#DrugDesign #ML #AI #DataScience #DrugDiscovery
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It sounds like you're working on a binary classification task with a focus on identifying the best inhibitors. Here's a step-by-step approach to help you assess and further refine your model to get the results you need:
1. Model Diagnostic Assessment:
  • Confusion Matrix: Construct a confusion matrix to elucidate true positive, true negative, false positive, and false negative categorizations from model predictions.
  • Performance Metrics: Determine precision, recall, F1-score, and AUC-ROC to critically assess model accuracy and effectiveness.
  • ROC Curve Analysis: This graphical representation delineates the compromise between sensitivity and specificity.
  • Threshold Refinement: Many algorithms conventionally employ a 0.5 threshold for classification. An adjusted threshold may be imperative to either augment recall or precision. Such adjustments might be pivotal for precise inhibitor identification.
2. Examination of Feature Significance:
  • Should the model possess inherent capabilities (e.g., tree-based methodologies), it's pertinent to scrutinize feature importance scores, offering insights into the most influential features for active inhibitor prediction.
  • For models devoid of direct feature significance outputs, one might consider employing techniques such as Permutation Importance or SHAP values.
3. Model Refinement Strategies:
  • Resampling: In the presence of a class imbalance in the dataset, methodologies such as oversampling, undersampling, or the Synthetic Minority Over-sampling Technique (SMOTE) should be explored.
  • Hyperparameter Optimization: Techniques encompassing grid search or random search should be invoked for optimal hyperparameter tuning tailored to the task at hand.
  • Cross-Validation Strategy: Implementation of k-fold cross-validation is advised to yield a comprehensive model performance assessment.
4. Inhibitor Ranking Framework:
  • Probabilistic Outputs: Rather than binary outcomes, it is beneficial to procure probability scores from the model. Inhibitors manifesting elevated probabilities of activity might be deemed as the most potent.
  • Subsequent Analysis: Following the demarcation of paramount inhibitors, a deeper analysis is advocated, potentially emphasizing their molecular characteristics or mechanistic pathways.
Best regards,
Samawel JABALLI
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All these terms are so confusing! I want to understand these terminologies in a very crisp and simplified manner. Can someone help me out with this confusion explaining their differences and real life examples? Any authorized books of reputed publishers? Thanks in advance.
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Dear Vivek Bhandarkar
Robotics, , Industry 4.0, AI, ML, DL, CPS, CPPS, IoT, IIoT.
It is little bit tough to explain all the above theologies in a precise way. Smart manufacturing, Smart factory are the applications of all the above technologies you mentioned. In my view there is a wider range of other applications also there .
industry 4.0 contains a set of domains like AI,IoT,Cloud,Big data.....so on ,these technologies are having significant impact on current industry.
AI,ML,DL we can keep in a backset and rest of the things are other.
I hope this will help you.
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How to create a system of digital, universal tagging of various kinds of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
How to create a system of digital, universal labelling of different types of works, texts, texts, photos, publications, graphics, videos, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
Two days earlier, in an earlier post, I started a discussion on the question of the necessity of improving the security of the development of artificial intelligence technology and asked the following questions: how should the system of institutional control of the development of advanced artificial intelligence models and algorithms be structured, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee? Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built? Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand? On the other hand, while continuing my reflections on the indispensability of improving the security of the development of artificial intelligence technology, analysing the potential risks of the dynamic and uncontrolled development of this technology, I hereby propose to continue my deliberations on this issue and invite you to participate in a discussion aimed at identifying the key determinants of building an institutional control system for the development of artificial intelligence, including the development of advanced models composed of algorithms similar or more advanced to the ChatGPT 4.0 system developed by the OpenAI company and available on the Internet. It is necessary to normatively regulate a number of issues related to artificial intelligence, both the issue of developing advanced models composed of algorithms that form artificial intelligence systems; posting these technological solutions in open access on the Internet; enabling these systems to carry out the process of self-improvement through automated learning of new content, knowledge, information, abilities, etc.; building an institutional system of control over the development of artificial intelligence technology and current and future applications of this technology in various fields of activity of people, companies, enterprises, institutions, etc. operating in different sectors of the economy. Recently, realistic-looking photos of well-known, highly recognisable people, including politicians, presidents of states in unusual situations, which were created by artificial intelligence, have appeared on the Internet on online social media sites. What has already appeared on the Internet as a kind of 'free creativity' of artificial intelligence, creativity both in terms of the creation of 'fictitious facts' in descriptions of events that never happened, in descriptions created as an answer to a question posed for the ChatGPT system, and in terms of photographs of 'fictitious events', already indicates the potentially enormous scale of disinformation currently developing on the Internet, and this is thanks to the artificial intelligence systems whose products of 'free creativity' find their way onto the Internet. With the help of artificial intelligence, in addition to texts containing descriptions of 'fictitious facts', photographs depicting 'fictitious events', it is also possible to create films depicting 'fictitious events' in cinematic terms. All of these creations of 'free creation' by artificial intelligence can be posted on social media and, in the formula of viral marketing, can spread rapidly on the Internet and can thus be a source of serious disinformation realised potentially on a large scale. Dangerous opportunities have therefore arisen for the use of technology to generate disinformation about, for example, a competitor company, enterprise, institution, organisation or individual. Within the framework of building an institutional control system for the development of artificial intelligence technology, it is necessary to take into account the issue of creating a digital, universal marking system for the various types of works, texts, photos, publications, graphics, films, innovations, patents, etc. performed by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification ..., should be different for what is the product of artificial intelligence. It is therefore necessary to create a system of digital, universal labelling of the various types of works, texts, photos, publications, graphics, videos, etc., made by artificial intelligence and not by humans. The only issue for discussion is therefore how this should be done.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How to create a system for the digital, universal marking of different types of works, texts, photos, publications, graphics, videos, innovations, patents, etc. made by artificial intelligence and not by humans, i.e. works whose legal, ethical, moral, business, security qualification .... etc. should be different for what is the product of artificial intelligence?
How to create a system of digital, universal labelling of different types of works, texts, photos, publications, graphics, videos, etc. made by artificial intelligence and not by humans?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Some technological companies offering various Internet services have already announced the creation of a system for digital marking of creations, works, works, studies, etc. created by artificial intelligence. Probably, these companies have already noticed that in this field it is possible to create certain standards for digital marking of creations, works, elaborations, etc. created by artificial intelligence, and this can be another factor of competition and market advantage.
And what is your opinion about it?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Can ChatGPT be used in conducting market and other analyses that are helpful in managing a business entity?
What could be other applications of generative artificial intelligence, the ChatGPT language model or other similar artificial intelligence technologies in the business of companies and enterprises operating in the SME sector?
Currently and prospectively, generative artificial intelligence, a ChatGPT-type language model, is finding various applications helpful in analyses carried out for business purposes. ChatGPT can be helpful, for example, in quickly drawing up a competitive analysis against a specific company, enterprise, start-up or other type of business entity. This kind of real-time analysis can be helpful in the effective management of a business entity. However, an issue for the time being may be the outdatedness of the data and information contained in the database that ChatGPT uses to answer questions. The aforementioned database is a kind of Big Data database built from data and information collected from a selection of multiple websites, but not now only in 2021. Large corporations, including large technology companies, have the financial capacity to create research and development departments within their company structures, where they develop technological innovations, new technologies, technology standards, etc., in order to be technologically at the forefront and maintain their strong position in specific markets. Consequently, large technology companies also have an interest in ensuring that emerging new technologies and innovations are quickly incorporated into their business. This also applies to the currently developing Industry 4.0 technologies, including machine learning, deep learning and artificial intelligence. On the other hand, companies and enterprises operating in the SME sector, including above all micro-enterprises and start-ups, have much more limited financial possibilities to finance the creation of research and development departments within their organisations, where new technologies, innovations and technological standards would be created. Of course, SME companies are also interested in incorporating new technological solutions and innovations into their businesses. However, the new technologies that they implement are not mainly the result of their research activities, but are bought and then implemented as ready-made solutions, already proven technologies or patents applied in other companies. However, some technological solutions for new technologies and/or specific applied and open-access technological solutions for information Internet services are also available for use by companies and enterprises operating in the SME sector already in the early stages of business development and with relatively small financial investments. For example, these are the Internet-accessible new online media, social media and online information services offered by large Internet-based technology companies, which have created specific standards in the implementation of certain Industry 4.0 technologies and have established a strong position in the market for certain online information and other services. Consequently, the currently rapidly developing artificial intelligence technology, including specific solutions of it made available on the Internet such as ChatGPT, can be used in specific business development support applications by various types of business entities, including companies and enterprises in the SME sector. For example, ChatGPT can be used in carrying out market and other analyses that are helpful in managing a business entity also operating in the SME sector. However, the applicability of both this kind of shared technological tool, a kind of language model of generative artificial intelligence made available on the Internet under an open access formula, and other technological solutions of artificial intelligence, which will probably soon be offered by the technology companies creating them, is much greater.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the applications of ChatGPT in the business of companies and enterprises operating in the SME sector?
Can ChatGPT be used in conducting market and other analyses that are helpful in managing a business entity?
What could be other applications of generative artificial intelligence, the ChatGPT language model or other similar artificial intelligence technologies in the business of companies and enterprises operating in the SME sector?
What is your opinion on this topic?
What is your opinion on this subject?
Please answer,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Recently, there are many applications, plug-ins based on ChatGPT, which are dedicated to specific business applications in business entities.
Best regards,
Dariusz Prokopowicz
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In your opinion, will a thinking artificial intelligence without human feelings be a more effective 'employee' in a company or a more effective and dangerous tool employed by a competing company?
Will the development of artificial intelligence technology help in terms of the management of business entities, public institutions, financial institutions, etc., and help to achieve the strategic business goals of certain commercially operating companies and businesses and perhaps public sector institutions as well?
The development of artificial intelligence may in the future lead to the creation of digital surrogates that mimic thought processes, artificial consciousness, emotional intelligence, etc. Many technology companies developing their business on the basis of new information technologies and Industry 4.0, which are being created and implemented in business, are conducting research to create new generations of artificial intelligence, which will be enriched with thought processes, artificial consciousness, emotional intelligence, etc. Some large technology companies that are also active online are working on creating their equivalents of generative artificial intelligence built in an advanced language model as ChatGPT. Internet users, companies and institutions are currently exploring the possibilities of practical applications of ChatGPT. The generation of this tool currently available online is already the fourth ChatGPT 4.0, but this is probably not the end of the development of this technology and its applications. In addition to this, some technology companies that are at the forefront of the development of artificial intelligence technology using various machine learning and deep learning solutions in conjunction with access to large sets of information and data collected on Big Data platforms are teaching artificial intelligence to perform various activities, jobs, solving increasingly complex tasks that until now have only been performed by humans. As part of these learning processes and the continual technological advances within ICT and Industry 4.0, leading technology companies are attempting to create a highly advanced artificial intelligence that will be capable of carrying out what we know as thought processes that have so far only taken place in the human brain (and perhaps in some animals). Perhaps in the future, an artificial intelligence will be created that is capable of simulating, digitally generating what we call human emotions, emotional intelligence. Perhaps in the future, an artificial intelligence will be created equipped with digitally generated artificial consciousness. What if, in the future, autonomous robots are created that are equipped not only with artificial intelligence, but also with digitally generated reactions that symbolise human emotions, are equipped with digitally generated thought processes, are equipped with artificial consciousness and behave as if they are also equipped with artificial emotional intelligence? Perhaps this will happen in the future. But the solutions that are currently being developed and the increasing applications of artificial intelligence that are emerging are devoid of typically human characteristics, i.e. thought processes within the framework of, among other things, abstract thinking, are devoid of emotional intelligence, human emotions and feelings, consciousness and so on. Will the rapidly developing artificial intelligence technology and also the rapidly appearing new and more numerous different applications of artificial intelligence technology solve many problems or will more new problems be generated? Perhaps a kind of thinking artificial intelligence will soon emerge, but one that does not have human feelings, e.g. empathy, in addition to having no digital equivalent of emotional intelligence. New applications for this kind of enhanced artificial intelligence will probably quickly emerge. Will it then be associated with the possibility of solving a multitude of problems, or could this kind of AI development generate new risks and dangers for humans? Technology companies pursuing this kind of technological advancement and improved artificial intelligence assume that a thinking artificial intelligence without human feelings can be a more effective 'employee' in a company. On the other hand, a thinking artificial intelligence being a more efficient and effective 'employee' may perhaps also be a more dangerous tool employed by a competitive company. The developers of these technological solutions usually start from the assumption that the development of artificial intelligence technology will help in the field of management of business entities, public institutions, financial institutions, etc. and will help to achieve the strategic business objectives of certain commercially operating companies and enterprises and perhaps also public sector institutions. However, we do not know whether this will be the case, whether the technological advances taking place in the field of artificial intelligence, the emergence of new generations of these technologies will generate only safe and positive applications for people, or whether new risks and threats will also emerge.
Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion of scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
In view of the above, I address the following questions to the esteemed community of scientists and researchers:
Will the development of artificial intelligence technology help in the field of management of business entities, public institutions, financial institutions, etc. and will it help in achieving the strategic business goals of certain commercially operating companies and enterprises and perhaps also public sector institutions?
In your opinion, will a thinking artificial intelligence without human feelings be a more effective 'employee' in a company or a more effective and dangerous tool employed by a competitive company?
Will a thinking artificial intelligence without human feelings solve many problems or will it generate more new problems?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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In my opinion, the development of artificial intelligence technology will help in the management of business entities, public institutions, financial institutions, etc., and will help achieve the strategic business goals of some commercially operating companies and enterprises, and perhaps public sector institutions. Well, whether a thinking artificial intelligence devoid of human feelings will solve many problems or generate more new problems depends mainly on how it is applied.
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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What are the possibilities for the applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
The progressive digitization of data and archived documents, digitization of data transfer processes, Internetization of communications, economic processes but also of research and analytical processes is becoming a typical feature of today's developing developed economies. Currently, another technological revolution is taking place, described as the fourth and in some aspects it is already the fifth technological revolution. Particularly rapidly developing and finding more and more applications are technologies categorized as Industry 4.0/5.0. These technologies, which support research and analytical processes carried out in various institutions and business entities, include Big Data Analytics and artificial intelligence. The computational capabilities of microprocessors, which are becoming more and more perfect and processing data faster and faster, are successively increasing. The processing of ever-larger sets of data and information is growing. Databases of data and information extracted from the Internet and processed in the course of conducting specific research and analysis processes are being created. In connection with this, the possibilities for the application of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research being conducted, are also growing rapidly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What are the possibilities of applications of Big Data Analytics supported by artificial intelligence technology in terms of improving research techniques, in terms of increasing the efficiency of the research and analytical processes used so far, in terms of improving the scientific research conducted?
What are the possibilities of applications of Big Data Analytics backed by artificial intelligence technology in terms of improving research techniques?
What do you think on this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
The above text is entirely my own work written by me on the basis of my research.
Copyright by Dariusz Prokopowicz
On my profile of the Research Gate portal you can find several publications on Big Data issues. I invite you to scientific cooperation in this problematic area.
Dariusz Prokopowicz
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Hi Dr. Dariusz Prokopowicz Interesting question
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In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation. Such intelligent systems drawing on large data and information resources, processing large sets of economic and financial information and data in real time on Big Data Analytics platforms, providing current analytical data to business intelligence systems supporting business management processes, can prove very useful as tools to facilitate organizational management processes, forecasting various scenarios of abnormal events and scenarios of developments in the business environment, diagnosing escalation of risks, supporting early warning systems, diagnosing and forecasting opportunities and threats to the development of the company or enterprise, providing warning signals for contingency and risk management systems.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, a kind of online business advisor, using defined business websites and portals, financial and economic information portals, which will answer the questions of entrepreneurs, businessmen, managers in charge of companies and enterprises, who will ask questions about the future development of their business, their company, enterprise, corporation?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, a kind of intelligent online business advisor?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Absolutely! Just as technology evolves (📱), so do business needs. A new-gen ChatGPT as a savvy online business advisor could be a game-changer 🚀. With its AI smarts, it'll make strategizing smoother than a well-oiled machine. Embrace the future of business advice! 💼🤖
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What kind of innovative startups do you think can be created using a new generation of smart tools similar to ChatGPT and/or whose business activities would be helped by such smart tools and/or certain new business concepts would be based on such smart tools?
There is a growing body of data suggesting that innovative startups may be created using the next generation of ChatGPT-like smart tools and/or whose business activities would be helped by such smart tools and/or certain new business concepts would be based on such smart tools. On the one hand, there are already emerging Internet startups based on artificial intelligence systems specialized in specific areas of creating textual, graphic, video, etc. elaborations that are variants of something similar to ChatGPT. On the other hand, arguably, some of these kinds of solutions may in the future turn into a kind of online business advisors generating advice for entrepreneurs developing new innovative startups.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
What kind of innovative startups do you think could be developed using a new generation of smart tools similar to ChatGPT and/or whose business activities would be helped by such smart tools and/or certain new business concepts would be based on such smart tools?
What kind of innovative startups can be created based on the next generation of ChatGPT-like smart tools?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
In writing this text I did not use other sources or automatic text generation systems.
Copyright by Dariusz Prokopowicz
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Innovative startups can emerge in AI-driven customer service, virtual personal assistants, content generation, and language translation. Think of a "ChatGPT Café" ☕ where AI baristas craft witty conversations, making your latte and linguistics equally frothy! 🚀🤖
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This "philosophical" thought by Rabelais "Wisdom cannot enter into an evil spirit, and Science without conscience is but ruin of the soul", taken from Pantagruel, his major work (own translation from French), can be considered as the keystone of what would be called "Scientific Morality". What if we discuss this paramount issue for the scientific community? Contributions on the topic are welcome.
Science is a neutral, rigorous, systematic endeavor that builds and organizes knowledge in the form of testable explanations and predictions about the universe. Modern science is typically divided into three major branches: natural sciences (e.g., biology, chemistry, and physics), which study the physical world; the social sciences (e.g., economics, psychology, and sociology), which study individuals and societies; and the formal sciences (e.g., logic, mathematics, and theoretical computer science), which study formal systems, governed by axioms and rules".
"Conscience” translates the Latin “conscientia”, which refers to sharing “knowledge” (scientia) “with” (con-), and which in turns translates the equivalent Greek term suneidenai (see Pierce 1955 and Sorabji 2014 for an etymological analysis of the term). The literal meaning of the term does not specify the type of knowledge involved and whom that knowledge is shared with. However, the concept has traditionally been used to refer to moral knowledge (we talk indifferently of conscience and moral conscience) that is shared with oneself. This reference to the self does not rule out that the source of the morality in question be external to the self. ... Reference to the self indicates that, from a psychological point of view, conscience involves introspection, awareness of one’s behavior, and self-assessment..."
Excerpt from: " Conscience (Stanford Encyclopedia of Philosophy)
https://plato.stanford.edu/entries/conscience/ 1/16, First published Mar 14, 2016
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Without a lifelong passion for your scientific profession, it's difficult to expect significant results.
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Would you like to use a completely new generation of ChatGPT-type tool that would be based on those online databases you would choose yourself?
What do you think about such a business concept for an innovative startup: creating a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those online databases, knowledge bases, portals and websites that individual Internet users will select themselves?
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, determine, define?
In my opinion, it makes sense to create a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, define, define. This kind of solution, which would allow personalization of the functionality of such generative artificial intelligence systems, would significantly increase its functionality for individual users, Internet users, citizens. In addition, the scale of innovative solutions for practical applications of such personalized intelligent systems for analyzing content and data contained in selected specific Internet resources would increase significantly.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, does it make sense to create a new generation of something similar to ChatGPT, which will use databases built solely on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use only those Internet databases, knowledge bases, portals and websites that individual Internet users themselves will select, specify, define?
What do you think of such a business concept for an innovative startup: the creation of a new generation of something similar to ChatGPT, which will use databases built exclusively on the basis of continuously updated data, information, objectively verified knowledge resources, and which will use exclusively those online databases, knowledge bases, portals and websites that individual Internet users will themselves select?
Would you like to use a completely new generation of ChatGPT-type tool, which would be based on those online databases that you yourself would select?
What do you think about this topic?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Counting on your opinions, on getting to know your personal opinion, on a fair approach to the discussion of scientific issues, I deliberately used the phrase "in your opinion" in the question.
Dariusz Prokopowicz
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Certainly, embracing a new ChatGPT generation based on curated online databases offers exciting potential. The enriched data could enhance accuracy and relevance, fostering more insightful and contextually aware interactions, ultimately delivering an elevated user experience.
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Will the black scenarios of the futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
The theoretical basis for the concept of the essence of artificial intelligence has been developing since the 1960s. Since then, black scenarios of futurological visions, in which autonomous robots equipped with artificial intelligence will be able to reproduce themselves, self-improve, become independent of human control and become a threat to humans, have been created in literature and film of the genre of scence fiction. Nowadays, in the situation of dynamic development of artificial intelligence and robotics technologies, the above-mentioned considerations return to topicality.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Will the black scenarios of futurological visions known from scence fiction films, in which autonomous robots equipped with artificial intelligence will be able to reproduce and self-improve, come true in the future?
Will artificial intelligence-equipped autonomous robots that can reproduce and self-improve emerge in the future?
And what is your opinion about it?
What is your opinion on this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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While the future remains uncertain, it's essential to consider the potential of autonomous robots with AI. While they won't be popping out little robot babies any time soon, significant advancements are likely. Self-improvement is already evident in AI research, but let's hope they won't outsmart us entirely! As responsible developers, we must prioritize safety and ethics to avoid any "I, Robot" scenarios. Remember, the future is what we make it, so let's aim for a world where robots and humans coexist harmoniously – a future where even the Jetsons would envy our technological prowess!
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Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would that question sound like?
In the current era of rapidly developing information technology, the technology of Industry 4. 0, the era of the fourth or perhaps already fifth technological revolution, in the situation of rapidly developing artificial intelligence technologies, building more and more perfect robots and androids, which, equipped with artificial intelligence, can perform a variety of activities until recently performed only by humans and until recently widely recognized as such, which only humans can perform, many new concepts are emerging, full of admiration for the modern technology of new applications of artificial intelligence, but also many new or well-known for many years but now growing in importance concerns about the development of artificial intelligence, including concerns about the consideration of the possibility in the future that the development of artificial intelligence will escape human control. In the context of, on the one hand, admiration and, on the other hand, concerns about the effects and directions of artificial intelligence development in the future, new intriguing questions are emerging. New questions, which, having the character of intriguing questions, activating creative reflection, motivating critical thinking, play a special role in the development of science. For example, this kind of question:
Imagine the situation that a new different but much more perfect version of something similar to ChatGPT is built, for which each person can ask only one question, what would this question be like?
Does this question have such a character, does it activate creative reflection, does it motivate critical thinking? I hope it does.
Please give an example of a question you would ask for a built new much more perfect version of something similar to ChatGPT, for which each person could ask only one question.
Please answer,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Why not more question?
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Join, and show advocacy to the European Brain Council (EBC) which comprises nine member organizations, which are two of them are patient groups, and the other seven groups represent the research community, including the EAN and those working in mental health dedicated to overcoming socioeconomic burden on society from brain-related problems worldwide embarking from the EBC humanity efforts:
“We want to speak with one voice […] the individual funding organizations were all trying to do their advocacy, reaching out to the commission,” she said. “But it’s hard to meet politicians. If you have a common goal that all these organizations would support, it’s great to have one voice and one representative.”
“We want to translate that knowledge into new breakthroughs that can really help the patient,” she said. The Re-Thinking series, which is a follow-on from the value of treatment studies, offers to rethink diseases such as migraine, schizophrenia and multiple sclerosis. “Our target audiences are those involved in policies, to tell them where we’re at.” The Brain Innovation Days will take place on 26-27 October and are meant to be a platform where the community can interact with innovators. The EBC is also leading a global partnership in brain research, to move its activities outside of Europe and to a broader scale.
European advocacy in the brain space
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So, basically you are asking the purpose of our existence.
Why things are the way they are, and why they have the pattern of directional importance inside them.
The answer is this and whatever we have is given to us, catch this vision (alas many are unable to reason).
Arhum Tajammal 💖
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If consciousness is simulated, such as simulating a neuron, will there be conscious artificial intelligence, certainly not like human consciousness, but conscious in another way?
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Rahma Abdelraouf Philosophical discussion and conjecture surround the possibility of conscious AI emerging from artificial awareness. There are several viewpoints on how consciousness interacts with physical systems like the human brain or computer simulations, and the nature of consciousness is still not fully understood.
According to one theory, known as functionalism, awareness develops from a system's functional structure rather than its physical foundation. This view holds that simulated systems may demonstrate consciousness provided they reproduce the functional organisation and activities of a conscious human brain.
The biological or dualist perspectives, on the other hand, contend that consciousness is closely related to the physical characteristics and workings of biological systems, particularly the human brain. From these angles, it might not be possible to create genuine consciousness by just imitating the functioning components.
It's crucial to remember that modern AI systems, such as sophisticated neural networks and machine learning models, lack consciousness as we know it. Although AI is capable of carrying out difficult tasks and behaving intelligently, it lacks subjective awareness and subjective experience.
While there is current research on simulating consciousness in AI, fully comprehending and replicating human consciousness is a difficult and ongoing scientific task. There are philosophical, ethical, and sociological ramifications associated with the study of consciousness and the creation of conscious AI systems in addition to technical ones.
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Uncontrolled development of AI - artificial intelligence is a very dangerous thing!
👉 Dangerous to humanity, really, I say that as a person from the IT sector, as someone who spent the first half of his life (39 years) well, the last 25, spent in IT, passed all levels of formal education, passed university teaching positions... etc. .
To learn robots write and walk, and not our children, or gave them smartphones instead of time in nature? So sad ... and most people doesn't have time really?!
‼️ I think most people are not aware...
• One does not need to be overly intelligent to see what is happening, that we need to react and slow down or indeed put a moratorium on the uncontrolled (I will add insane) development of AI.
Of course, such development (if it is development at all?!) humanity does not need, except for those with a bad ultimate intention for all of us as a human species.
Imagine if, as a side effect of all this, it would be the "end of the world", and we would then call ourselves the most intelligent beings on Earth? We!? 😡
"Should we allow machines to flood our information channels with propaganda and untruths? Let chaos ensue.
Should we automate all jobs, including those that fill people's lives with meaning?
Should we develop non-human minds that could eventually outnumber, outsmart, outdate and replace us?
Should we risk losing control of our civilization?
👉 The letter has so far been signed by more than 27,500 people, including the author of several bestsellers such as Sapiens Yuval Noah Harari, Apple co-founder Steve Wozniak, Skype co-founder Jaan Tallinn and numerous artificial intelligence researchers such as Stuart Russell, Yoshua Bengio, Gary Marcus and Emad Mostaque." IndexHr
‼️ Personally, I would sign this letter and topics without thinking, because we are not even aware that at some point even that will be impossible.
👉 This is not a conspiracy theory, these are the facts today!
Also, take part in discusion and thank you. 🙏
💕 Let's think about the future in time, please. 🙏
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Mr Duodu, thank you.
Also, mr Amin, can I kindly ask you not to leave URL and ypur email after every comment of yours, its not professional, really.
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In your opinion, what issues concerning the development of artificial intelligence should be regulated by law?
In your opinion, should regulations be introduced to oblige people to report that a certain service or product has been created as a result of work done not by humans, but by artificial intelligence?
More and more frequently, call centre employees calling us with various product and service offers turn out to be a specific form of usually already relatively simple, no longer latest-generation artificial intelligence technology on the basis of which bots are created to replace humans in the call centre departments of companies, enterprises and institutions. Increasingly, simulations, forecasts of future consumption of specific fixed utilities, electricity, water, gas, etc., and invoices for periods of future consumption of energy and other utilities are being produced by artificial intelligence as part of the predictive analyses carried out. Increasingly, tools of a certain generation of artificial intelligence are being used to create memes posted on social media websites. The development of artificial intelligence generates opportunities for its application in various spheres of activity of companies, enterprises and institutions; in various industries and services; improving the efficiency of business activities by increasing the scale of automation of processes; increasing the scale of business efficiency, increasing the capacity to process large sets of data and information; increasing the scale of implementation of new business models based on large-scale automation of manufacturing processes, etc. However, developing artificial intelligence in an uncontrolled manner generates serious risks, such as an increase in the scale of disinformation, the appearance of fake news, including banners, memes containing pictures, graphics, animations, films prepared by artificial intelligence, presenting 'fictitious facts', i.e. in a seemingly very realistic way, depicting events that never happened. There are risks of a potential increase in the scale of influence on public opinion, of the formation of a general social awareness by organisations operating without respect for the law. On the one hand, it is necessary to create digital computerised and standardised tools, diagnostic information systems, to build a standardised system of labels informing users, customers, citizens using certain solutions, products and services that they are the products of artificial intelligence and not of humans. On the other hand, regulations should be introduced obliging people to inform them that a particular service or product is the result of work done not by humans, but by artificial intelligence.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, should regulations be introduced to oblige people to report that a certain service or product has been created as a result of work done not by humans but by artificial intelligence?
In your opinion, what issues concerning the development of artificial intelligence should be regulated by law?
Should the development of artificial intelligence be regulated by law?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Counting on your opinions, on getting to know your personal opinion, on an honest approach to the discussion of scientific issues and not the ready-made answers generated in ChatGPT, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Best wishes,
Dariusz Prokopowicz
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As explained abundantly in other discussions, I consider AI an aberration.
What else do you need to know?
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How should the architecture of an effective computerised platform for detecting fakenews and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies be designed?
The scale of the development of disinformation on the Internet including, among other things, fakenews has been growing in recent years mainly in social media. Disinformation is mainly developing on social media sites that are popular among young people, children and teenagers. The growing scale of disinformation is particularly socially damaging in view of the key objective of its pursuit by cybercriminals and certain organisations using, for example, the technique of publishing posts and banners using fake profiles of fictitious Internet users containing fakenews. The aim is to try to influence public opinion in society, to shape the general social awareness of citizens, to influence the assessment of the activities of specific policies of the government, national and/or international organisations, public or other institutions, to influence the ratings, credibility, reputation, recognition of specific institutions, companies, enterprises, their product and service offerings, individuals, etc., to influence the results of parliamentary, presidential and other elections, etc. In addition to this, the scale of cybercriminal activity and the improvement of cyber security techniques have also been growing in parallel on the Internet in recent years. Therefore, as part of improving techniques to reduce the scale of disinformation spread deliberately by specific national and/or international organisations, computerised platforms are being built to detect fake news and other forms of disinformation on the internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies. Since cybercriminals and organisations generating disinformation use new Industry 4.0 technologies in the creation of fake profiles on popular social networks, new information technologies, Industry 4.0, including but not limited to Big Data Analytics, artificial intelligence, deep learning, machine learning, etc., should also be used to reduce the scale of such harmful activities to citizens.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should the architecture of an effective computerised platform for detecting factoids and other forms of disinformation on the Internet built using Big Data Analytics, artificial intelligence and other Industry 4.0 technologies be designed?
And what do you think about it?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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The architecture of an online fakenews detection platform built with Big Data Analytics and Artificial Intelligence should be designed to handle large volumes of data. The platform should use machine learning algorithms to analyze the data and detect patterns that indicate fake news. The platform should also be able to identify the source of the fake news and track its spread across social media platforms. The platform should be designed to be scalable and flexible so that it can adapt to changing data volumes and new sources of fake news.
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Can artificial intelligence already predict our consumer behaviour and in a short while will it be able to predict which shop we will go to and what we will buy tomorrow?
With the help of artificial intelligence, how can systems for monitoring citizens' consumer behaviour based on GPS geolocalisation and information contained in smartphones be improved?
The lockdowns and national quarantines introduced during the coronavirus pandemic (Covid-19) caused a strong decline in sales and turnover generated in traditionally, physically functioning shops and service establishments. The lockdowns imposed on selected service industries and on traditionally operated trade also resulted in an acceleration of e-commerce, the sale of products and services conducted via the Internet. When the coronavirus pandemic was no longer interpreted in terms of high health and economic risk, a significant proportion of traditionally operated trade and physical service establishments also returned to traditionally operated business, customer service, product or service sales. On the other hand, emerging new ICT and Industry 4.0 solutions are being implemented and support the economic activities of companies, enterprises, service establishments and shops producing and/or offering their products or services in both traditional and Internet-based formats. when the pandemic was considered to be over and did not generate major risks for the economic activities of service establishments and shops, new ICT and Industry 4. 0, including artificial intelligence technologies, are being implemented in information systems to support the sales processes of product or service offerings, including improving tools for activating potential consumers, getting customers interested in new product or service offerings, and encouraging customers to visit stationary shops and service establishments. In this regard, startups have been rapidly developing over the past few years, which, using anonymous mobile user identifiers and accurate location and internet user data available in various applications installed on smartphones, are able to precisely locate where a smartphone user is at any given time and diagnose whether he or she is by chance making a purchase in a specific stationary shop, walking down the street passing by an establishment providing specific services and perhaps considering using those services. In a situation where a technology start-up has data on a specific Internet user downloaded from a number of different Internet applications and, on the basis of this data collected on Big Data Analytics information processing and analysis platforms, has drawn up information-rich characteristics of the interests and purchasing preferences of a kind of digital avatar equivalent to a specific Internet user, then, in combination with analysis of current customer behaviour and GPS-based geolocalisation, it is able to make real-time predictions about the subsequent behaviour and/or purchasing decisions of individual potential customers of specific product or service offerings. Some technology start-ups conducting this kind of analytics based on large sets of customer data and on geolocalisation, use of specific apps and social media available on the smartphone and knowledge of the psychology of consumer behaviour are first able to precisely locate consumers in real time with reference to specific shops, service establishments, etc. They are able to firstly locate consumers in real time and precisely identify specific shops, service providers, etc., and then display information on advertising banners appearing in specific applications on the smartphone about the current offer, including a price or other promotion for a specific product available for sale in the shop where the Internet user and potential customer is currently located. Thanks to this type of technological solutions, more and more often an Internet user available on a smartphone in a situation when he/she is in the vicinity, next to specific stands, shop shelves, specific shops in shopping centres, and is thinking about buying a specific product, then at that moment he/she receives information on the smartphone, an advertisement appears with information on a price or other promotion concerning that particular product or a similar, highly substitutable product. At the aforementioned point in time when the customer is in a specific shop or part of a shop, online advertisements are displayed on his or her smartphone, e.g. on social media, the Google ecosystem, third-party web browsers or other applications that the potential customer has installed on his or her smartphone.
When such technological solutions are complemented by artificial intelligence analysing the consumer behaviour of individual customers of different product and service offers, it is possible to create intelligent analytical systems capable of predicting who will visit a specific shop, when they will do so and what they plan to buy in that shop. Statistically, a citizen has several applications installed in his or her smartphone, which provide the technology-based analytical companies with data about their current location. Therefore, thanks to the use of artificial intelligence, it may not be long before Internet users receive messages, see online advertisements displayed on their smartphones showing the products and services they are about to buy or think about tomorrow. Perhaps the artificial intelligence involved in this kind of analytics is already capable of predicting our consumer behaviour in real time and will soon be able to predict which shop we will go to and what we will buy tomorrow.
In view of the above, I would like to address the following question to the esteemed community of scientists and researchers:
With the help of artificial intelligence, how can monitoring systems for citizens' consumer behaviour based on GPS geolocation and information contained in smartphones be improved?
Can artificial intelligence already predict our consumer behaviour and in a few moments will it be able to predict which shop we will go to and what we will buy tomorrow?
Can artificial intelligence already predict our consumer behaviour?
What do you think about this topic?
What is your opinion on this subject?
Please answer,
I invite you all to discuss,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Yes, artificial intelligence can predict consumer behavior. AI can analyze data from various sources such as social media, online shopping history, and search engine queries to predict consumer behavior. AI can also be used to personalize marketing campaigns and improve customer experience.
Received message. Yes, artificial intelligence can predict consumer behavior. AI can analyze data from various sources such as social media, online shopping history, and search engine queries to predict consumer behavior. AI can also be used to personalize marketing campaigns and improve customer experience.
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In your opinion, is the development of artificial intelligence, which consists, among other things, of new generations of this technology creating ever more perfect generative artificial intelligence solutions, processing ever more data, performing ever more complex work and ever more creatively performing human-ordered tasks, a threat to people's creative and critical thinking?
It used to be that people remembered the tel numbers of people they called frequently. Nowadays, tel no.'s are entered into smartphones and do not need to be remembered. Various online information services are available on smartphones and we are using them more and more. In many countries, taxi drivers are increasingly using GPS navigation and no longer have to pass an exam to know the topography and the names of all the streets in a city. Technology is increasingly relieving people of various tasks and the need to remember a lot of data. On the other hand, threats are emerging in the form of the generation of disinformation on online social media by posting pictures and videos showing 'fictitious facts' created by artificial intelligence. As deepfake is now recognised as one of the greatest threats arising from artificial intelligence applications, so it is urgently necessary to create legal regulations that regulate the proper use of artificial intelligence-based tools, including respect for copyright, when artificial intelligence creates new works, texts, graphics, etc. using various publications taken from Internet resources. How much the development of artificial intelligence and its applications will change labour markets in the future is suggested by the results of predictive and futurological analyses, according to which up to half of human jobs globally could disappear by 2050. On the other hand, surveys of a number of companies and enterprises show that over the next few years, the majority of businesses plan to carry out investment processes involving the implementation of new Industry 4.0 technologies, including artificial intelligence, into their operations. Predictive analyses and futurological visions created on their basis show that with the technological progress, along with the emergence of successive generations of artificial intelligence, more and more perfect artificial intelligence systems will be created in the next few years. In addition to this, a tool is already available on the Internet in the form of an intelligent language model based on generative artificial intelligence, which, by generating answers to questions, creates texts in an automated way, based on knowledge resources taken from a large number of Internet sites, Internet article databases, Internet book libraries, etc. On the other hand, a kind of ChatGPT creativity is not yet applied perfected, because within this creativity, "fictitious facts", i.e. nicely described events that never happened, may be described by ChatGPT in the created texts. Arguably, these imperfections in the next generations of this tool and in other ChatGPT-like intelligent, automated, digital chatbots created by subsequent technology companies will be corrected. When they are corrected, it will then become increasingly common for people to use such tools made available on the Internet by commissioning artificial intelligence to write specific texts, which will be created by the artificial intelligence in an increasingly creative manner and successively making fewer and fewer mistakes in this creative process. Consequently, humans will commission more and more complex tasks for the artificial intelligence to perform and increasingly require the use of creativity, innovation, artistry, etc. Thus, there may be another threat to humanity which may be the abandonment of performing creative activities when these activities can be performed by artificial intelligence. Thus, a new category of threat to humanity may emerge from the technological advances made by artificial intelligence. It may therefore happen in the future that the development of artificial intelligence is a threat to people's creative and critical thinking.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
In your opinion, is the development of artificial intelligence, which consists, among other things, of new generations of this technology creating ever more perfect generative artificial intelligence solutions, processing ever more data, performing ever more complex work and ever more creatively performing human-ordered tasks, a threat to people's creative and critical thinking?
Is the development of artificial intelligence a threat to people's creative and critical thinking?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Hoping to hear your opinions, to get to know your personal opinion, to have an honest approach to discussing scientific issues and not ChatGPT-generated ready-made answers, I deliberately used the phrase "in your opinion" in the question.
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Best wishes,
Dariusz Prokopowicz
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Definitely no. Artificial intelligence is created by human and follows what human programs it. Human possess the intelligence to invent more and more and not following stupidly what orders put in as in case artificial intelligence. Artificial intelligence can do good but can not innovate any thing. Human with intelligence God grant him/her lead the universe.
Dr.Sundus Fadhil Hantoosh
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Can paintings painted or sculptures created, unique architectural designs by robots equipped with artificial intelligence be recognised as fully artistic works of art?
In recent years, more and more perfect robots equipped with artificial intelligence have been developed. New generations of artificial intelligence and/or machine learning technologies, when equipped with software that enables the creation of unique works, new creations, creative solutions, etc., can create a kind of artwork in the chosen field of creativity and artistry. If we connect a 3D printer to a robot equipped with an artificial intelligence system that is capable of designing and producing beautiful sculptures, can we thus obtain a kind of work of art?
When a robot equipped with an artificial intelligence system paints beautiful pictures, can the resulting works be considered fully artistic works of art?
If NO, why not?
And if YES, then who is the artist of the works of art created in this way, is it a robot equipped with artificial intelligence that creates them or a human being who created this artificial intelligence and programmed it accordingly?
What is your opinion on this topic?
What do you think about this topic?
Please reply,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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No
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Can a generative artificial intelligence refined by learning processes o be as creative as a human?
Can a generative artificial intelligence refined by learning processes be as creative as human creativity since thought processes, consciousness, emotions etc. are also involved in human creativity?
On the one hand, artificial intelligence technology is developing rapidly due to emerging new applications and dynamic technological advances. The very conception, definition and development of artificial intelligence on the basis of the third technological revolution already started several decades emu. However, the significant acceleration of the development of various solutions and applications of artificial intelligence in the context of the current fourth technological revolution has occurred over the last few years. In contrast, a significant increase in public interest in this issue has occurred in the last few months, i.e. since November 2022, when the company OpenAI made available in open access to Internet users an artificial intelligence built in the formulation of a generative language model as ChatGPT, i.e. an automated chat that learns and improves itself based on the answers given to Internet users who ask questions in relation to this system. Many citizens, through a kind of conversation with ChatGPT, i.e. a conversation with an artificial intelligence, began to experience something that could be compared to what they saw many years ago in, for example, Stanley Kubrick's 1968 Oscar-winning science fiction film '2001: A Space Odyssey'. The film's plot was inspired by the novel by Arthur C. Clarke.
However, this development also generates potential risks and dangers of inappropriate application of as much advanced artificial intelligence technology. An example is the already developing disinformation in the new online media, including mainly social media, generated by the creation and posting in these media of texts, photos, films created by artificial intelligence, which look as if they were created by a human being and present a kind of "fictitious facts", i.e. very credibly and precisely depict, describe events that in reality never happened. And what if, as part of the technological advances taking place, artificial intelligence is taught the thought processes typical of humans? What if something that could be described as artificial consciousness is created? What if, as part of the aforementioned thought processes carried out by artificial intelligence enriched with artificial consciousness, autonomous, thinking robots are created that acquire characteristics hitherto considered typical only of humans? What if these are also features of the human psyche, and which artificial intelligence could use as a tool for self-improvement, to escape human control? Would then a scenario like the one we know from the Terminator series of films, in which the main character is an autonomous, intelligent robot played by Arnold Schwarzenegger, be possible? Is it possible that highly intelligent machines, which humans will teach to think and equip with what will be described as artificial consciousness, will completely spin out of control and turn against their creator, i.e. humans? for the moment, these are questions that inspire paraphilosophical considerations. But it cannot be ruled out that soon these questions could be more substantively justified.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Can a generative artificial intelligence perfected by learning processes be as creative as human creativity since thought processes, consciousness, emotions, etc. are also involved in the process of human creativity?
And what is your opinion on this?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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To be as creative as a human, an AGI must become insane... (like some creative people)... In order to achieve his insane goals, he must forcefully subjugate large resources, including people... People are still trying to stop this kind of development... but in the long run it is unlikely to be done...
Creativity requires (morbid) fantasies, silliness, insanity... The AGI must have a "D-factor of personality"... Most of his decisions must be "dark decisions" (with ulterior self-serving purposes)... This is where true creativity comes in...
Every action (or inaction) we take brings harm to someone... It just has to be accepted... You can't ask an AI to be holy... Only then will the AI become as creative as a human being!
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If a new piece of music is created, but created by an artificial intelligence, how is the question of creativity to be assessed and how will copyright work, what part of the resulting artistic work will be regarded as a manifestation of the creativity of a technologically advanced tool such as certain artificial intelligence solutions, and what part will be regarded as the creativity of a human being who operates, questions, teaches etc. the artificial intelligence so that it performs in a certain way tasks which until recently were regarded as possible only by humans?
In the context of the development and successive but also relatively fast emerging new applications of artificial intelligence technology, reflections on the essence of creativity, which until recently was considered an exclusively human trait, are emerging. However, rapidly emerging new applications of increasingly refined artificial intelligence, which can be taught to process increasingly creative and much more efficient multi-criteria processing of ever larger data sets, is becoming the basis for consideration of creative task solving by specific artificial intelligence solutions, including generative language models, i.e. ChatGPT 4.0. Among the many different fields in which humans develop their capacity for creativity is the arts. Within the framework of artistic activity, humans have been developing several key artistic fields such as painting, sculpture, architecture, literature, theatre, music and singing since ancient times. On the other hand, modern artistic fields such as photography and film are also developing, thanks to the technological revolutions that have taken place over the past two centuries. In recent years, a large proportion of the artworks collected in art galleries, libraries etc. have been digitised and have their digital counterparts, which are made available on the Internet. During the Coronavirus pandemic of 2020, the processes of digitisation of various types of artistic works and other products of human activity and creativity accelerated significantly. New ICT information technologies and Industry 4.0 have become of great help in the processes of digital processing, analysis and use of increasingly large amounts of data, including artistic works. Artificial intelligence technologies currently under development, after the application of specific learning processes, i.e. the application of machine learning and/or deep learning technologies, are capable of combining different types of data, including on different types of digitised media and digitised artistic works, to create something new, which can be considered a kind of new form of creativity. Sometimes, the effects of this kind of creativity realised by artificial intelligence are such a new field of application of this technology that the relevant legal regulations, including but not limited to copyright, have not yet been established. Well, if with the help of artificial intelligence it is possible to create pictures of an event that did not happen, i.e. as if one were to photograph a media-famous person in a situation and place where he or she has never really been, one can create a film with a cast of people who are no longer alive or who did not really exist at all, etc., then where does the creativity of those using artificial intelligence end? where does the creativity of people using artificial intelligence as a tool to achieve a specific goal end and where does the creativity of this technology begin, which, understanding the commands of humans, more and more precisely creates a kind of innovative solutions, more and more efficiently performs specific tasks and more and more creatively creates a kind of artistic works that are difficult to distinguish from their analytical works created traditionally, i.e. without the use of advanced information technology by humans. One particularly interesting thing that has already happened is the creation, with the help of artificial intelligence, of a new musical work of a song, in which the voice of a certain real existing singer is used, combined with new music and new song lyrics, and in this way a recording of a song sung by a singer who in reality never wrote the music and never sang the song is created. And if a song created in this way finds its way to the top of the charts, how will the question of honouring copyright be resolved, who is and to what extent the creator of such a work, to whom should the key part of the creativity in such a creation of a musical work be attributed? But of course, this is only an example, as similar, as yet unregulated complex processes for the creation of artistic works with the involvement of artificial intelligence in this process can and probably will be applied in other fields of art as well. In addition, the question of the creativity of artificial intelligence in the context of human creativity, in which also thought processes, consciousness, emotions, etc. are involved, also remains to be resolved.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
If a new piece of music is created, but created by an artificial intelligence, how is the question of creativity to be assessed and how will copyright work, what part of the resulting artistic work will be considered as a manifestation of the creativity of a technologically advanced tool such as certain artificial intelligence solutions, and what part will be considered as the creativity of a human being who operates, questions, teaches, etc. the artificial intelligence so that it performs in a certain way tasks that until recently were considered to be possible only by a human being?
What do you think about it?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Based on my own work (for example: ), I would suggest that, unless and until AI gains sentience, that its outputs are always at the prompt of some human intervention. In this sense, AI is rendered as simply one tool in a possibly artistic process. As is the camera, a pot of paint, a lump of clay. This does not and should not detract from AI's enormous capability as a tool that, in many respects, overshadows any other potential tool used artistically. It can certainly, as we witness, foreshorten the artistic process.
The difficulty with art is--as I believe it will remain for some time to come yet--the question of power. Whatever artistic process an individual human might engage in, prompt, or otherwise initiate, it is left to a power-politic dynamic to accord the output of that artistic process that status as art object. It takes an art-institution, an artworld or a society (or indeed a wealthy patron) to suggest any product of artistic work is an artwork. And it is only when reified to the level of artwork, imbued with some sense of intrinsic value, that the question of ownership is at issue.
In this sense, it is perfectly possible for a society to take the collective view that AI outputs are legitimate artworks and therefore of some intrinsic value, for which allocation of property rights (intellectual of other) becomes an issue. But should this not lead us to question our own identity and capabilities in the face of AI? Are we, as a society, ready to imbue AI with a sentience that it does not (yet?) possess? Simply because we stand fascinated by something some power-politic declares is artistic in nature? Are we really as insecure in our own identities as that?
An interesting question Dariusz Prokopowicz
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I have a proposal to the ResearchGate team to include in all author profiles as a new feature the link on ChatGPT to provide answers to questions.
In this case we will haven't any questions without answers.
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This is related research question to yours, dear Vadym Slyusar .
I think that chatGPT answers under different research questions over ResearchGate will stay for a while, and we will get back to traditional discussion after. RG is research portal! There are many potential pitfalls with chatGPT.
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For several years, scientists have been perfecting the technology of artificial intelligence to think like a human thinks. Is it possible?
Will it be possible to teach artificial intelligence to think and generate out-of-the-box, innovative solutions to specific problems and human-mandated tasks?
Is it possible to enrich highly advanced artificial intelligence technology into what will be called a digitised, abstract critical thinking process and into something that can be called artificial consciousness?
For several years, scientists have been refining artificial intelligence technology to think the way humans think. The coronavirus pandemic accelerated the digitalisation of remote, online communication, economic and other processes. During this period, online technology companies accelerated their growth and many companies in the sectors of manufacturing, commerce, services, tourism, catering, culture, etc. significantly increased the processes of internetisation of their business, communication with customers, supply logistics and procurement processes. During this period, many companies and enterprises have increased their investments in new ICT technologies and Industry 4.0 in order to streamline their business processes, improve business management processes, etc. The improvement of artificial intelligence technologies also accelerated during this period, including, for example, the development of ChatGPT technology. New applications of machine learning, deep learning and artificial intelligence technologies in various industries and sectors are developing rapidly. For several years, research and development work on improving artificial intelligence technology has entered a new phase involving, among other things, attempts to teach artificial intelligence to think in a model like that of the human brain. According to this plan, artificial intelligence is supposed to be able to imagine things that it has not previously known or seen, etc.
In the context of this kind of research and development work, it is fundamental to fully understand the processes that take place in the human brain within what we call thinking. A particular characteristic of human thinking processes is the ability to separate conscious thinking, awareness of one's own existence, abstract thinking, the formulation of questions within the framework of critical thinking from the selective, multi-criteria processing of knowledge and information. In addition, research is underway to create autonomous human-like robots, androids equipped not only with artificial intelligence, but also with what can be called artificial consciousness, i.e. a digitally created human-like consciousness. Still not fully resolved is the question of whether a digitally constructed artificial consciousness, which is a kind of supplement to a high generation of artificial intelligence, would really consist of a humanoid cyborg, a human-like android built to resemble a human, being aware of its own existence or merely behaving as if it were thinking, as if it were equipped with its own consciousness. Highly humanoid, autonomous androids are already being built that have 'human faces' equipped with the ability to express 'emotions' through a set of actuators installed in the robot's 'face' that imitate human facial expressions, human grimaces, representing various emotional states. Androids equipped with such humanoid facial expressions combined with the robot's ability to participate in discussions on various current issues and problems could be perceived by the humans discussing them as not only highly intelligent but also as aware of what they are saying and perhaps aware of their existence. But we still don't know that even in such a situation it could be 'just' a simulation of human emotions, human consciousness, human thinking, etc. by a machine equipped with highly advanced artificial intelligence. And when, in addition, an autonomous android equipped with an advanced generation of artificial intelligence is connected through Internet of Things technology, cloud computing to knowledge resources available on the Internet in a real-time formula, and is equipped with the ability to multi-criteria, multi-faceted processing of large sets of current information performed on Big Data Analytics platforms, then almost limitless possibilities for applications of such highly intelligent robots open up.
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The more important question: Do you really want it?
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How should a system of institutional control over the development of advanced artificial intelligence models and algorithms be built so that this development does not get out of hand and lead to negative consequences that are currently difficult to predict?
Should the development of artificial intelligence be subject to control? And if so, who should exercise this control? How should an institutional system for controlling the development of artificial intelligence applications be built?
Why are the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc. now calling for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology is fully under control and does not get out of hand?
To this, should the development of artificial intelligence be under control? - the answer is probably obvious, i.e. that it should. What remains debatable, however, is how the system of institutional control of the development of advanced artificial intelligence models and algorithms should be structured so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee. Besides, if the question: should the development of artificial intelligence be controlled? - is answered in the affirmative, i.e. YES, then who should exercise this control? So, how should an institutional system of control over the development of advanced artificial intelligence models and algorithms and their applications be constructed, so that the potential and real future negative effects of dynamic and not fully controlled technological progress do not outweigh the positive ones. Well, at the end of March this year 2023, a number of new technology developers, artificial intelligence experts, besides businessmen, investors developing technology start-ups, including, among others, Apple co-founder Steve Wozniak and the founder or co-founder of such technology companies as PayPal, SpaceX, Tesla, Neuralink and the Boring Company, i.e. Elon Musk, Stability AI chief Emad Mostaque (maker of the Stable Diffusion image generator) and artificial intelligence researchers from Stanford University, Massachusetts Institute of Technology (MIT) and other AI universities and labs have called in a joint letter for at least a six-month pause in the development of artificial intelligence systems more capable than the GPT-4 published in March. The aforementioned letter acting as a kind of cautionary petition was published on the Future of Life Institute centre's website, advanced artificial intelligence could represent "a profound change in the history of life on Earth" and the development of this technology should be approached with caution. In this petition of sorts, there are warnings about the unpredictable consequences of the race to create ever more powerful models and complex algorithms that are key components of artificial intelligence technology. The aforementioned developers of leading technology companies suggest that the development of artificial intelligence should be slowed down temporarily, as the risk has now emerged that this development could slip out of human control. The aforementioned petition warns that an uncontrolled approach to AI development risks a deluge of disinformation, mass automation of work and even the replacement of humans by machines and a 'loss of control over civilisation'. In addition, the letter suggests that if the current rapid development of artificial intelligence algorithm systems gets out of hand, then the scale of disinformation on the Internet will increase significantly, the process of work automation already taking place will accelerate many times, which may lead to the loss of jobs for about 300 million people within the current decade and, as a consequence, may also lead to a kind of loss of human control over the development of civilisation. Developers of new technologies point out that advanced artificial intelligence algorithm systems should only be developed when the development of artificial intelligence is under full control, the effects of this development are positive and the potential risks are fully controllable. Developers of new technologies are calling for a temporary pause in the training of systems superior to OpenAI's recently released GPT-4 system, which, among other things, is capable of passing tests of various kinds at a level close to the best results passed by humans. The aforementioned letter also calls for the implementation of comprehensive government regulation and oversight of new models of advanced AI algorithms, so that the development of this technology does not overtake the creation of the necessary legal regulations.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Why do the creators of leading technology companies developing ICT, Internet technologies, Industry 4.0, including those developing artificial intelligence technologies, etc., now call for the development of this technology to be periodically, deliberately slowed down, so that the development of artificial intelligence technology takes place fully under control and does not get out of hand?
Should the development of artificial intelligence be controlled? And if so, who should exercise this control? How should an institutional control system for the development of artificial intelligence applications be built?
How should a system of institutional control of the development of advanced artificial intelligence models and algorithms be built, so that this development does not get out of control and lead to negative consequences that are currently difficult to foresee?
What do you think?
What is your opinion on the subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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The open letter[1] is wishful thinking at best. Let us sample some of the statements provided in the letter:
  • "Powerful AI systems should be developed only once we are confident that their effects will be positive and their risks will be manageable."
The concept of manageable risk differs from individual to individual much less gather consensus on a population on what is a " manageable" risk
  • "we call on all AI labs to immediately pause for at least 6 months the training of AI systems more powerful than GPT-4."
This is the most naive statement of the letter. What can be accomplished in 6 months? We have not even gathered consensus on the simple philosophical approach to ethics in the history of philosophy, much less on how to approach AI from an ethical standpoint. stopping AI research for 6 months will not have a significant impact (there are even journals dedicated to AI ethics in print tackling the issue for several years and there is pretense to solve this in 6 months!).
  • "implement a set of shared safety protocols ...These protocols should ensure that systems adhering to them are safe beyond a reasonable doubt."
The concept of beyond reasonable doubt will eventually fall on what is reasonable practice in the field and this leads to weak safety protocols.
  • "AI research and development should be refocused on making today's powerful, state-of-the-art systems more accurate, safe, interpretable, transparent, robust, aligned, trustworthy, and loyal."
This statement cannot be more ambiguous in term definition and the references of the letter do not help.
The concept of stopping AI research should not be confused with regulating the commercial use of the technology. The letter aims at the wrong issue. Research cannot be stopped for ML, since anyone with a reasonable amount of computing power (which you can buy anyway in amazon) can continue to work in the subject. But, regulating business is easier since the major players will have the greatest impact in slowing down the misuse of the technology. also by regulating business more targeted restrictions on its use can be applied rather than vague lists of research topics.
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How can new Industry 4.0 technologies, including artificial intelligence and Big Data Analytics, be helpful in the credit risk management process of cryptocurrency lending?
Some commercial and investment banks are already creating their cryptocurrencies. Some investment funds are also allocating part of their funds for the purchase of certain investment financial instruments and other investment assets as part of building their investment prortfolio to the purchase of selected cryptocurrencies. It may therefore be that in the future, financial or para-financial institutions will be established that will accept selected cryptocurrencies for deposits and, on the other hand, will also lend cryptocurrencies. Related to this issue will be an increase in the level of institutionalisation of cryptocurrency trading platform markets. As part of a potential increase in the level of formalisation of procedures and institutionalisation of markets in which citizens and businesses use cryptocurrencies, supervisory institutions should also be created, thanks to which the level of security of the use of cryptocurrencies should increase and also the level of investment risk of investing in cryptocurrencies should decrease significantly. Thus, with a higher level of security in the use of cryptocurrencies, more citizens will be willing to use cryptocurrencies both as payment instruments and as alternative investment instruments. With certain financial institutions or para-financial firms lending cryptocurrencies in a formula similar to bank lending transactions, the importance of the credit risk management process of cryptocurrency lending will increase. Since new information technologies and Industry 4.0, including artificial intelligence, machine learning, deep learning and analytics conducted on computerised Big Data Analytics platforms, are already being used in the credit risk management process occurring in the context of banks' lending and investment transactions in securities and other capital markets assets, so in the future such new technologies may also be applied to improve the credit risk management processes of cryptocurrency lending.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How can the new technologies of Industry 4.0, including artificial intelligence and Big Data Analytics, be helpful in the credit risk management process of cryptocurrency lending?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Cryptocurrency lending is a type of lending where borrowers can obtain loans by using their cryptocurrency assets as collateral. In cryptocurrency lending, borrowers provide their digital assets, such as Bitcoin or Ethereum, as collateral for a loan. The lender then provides the borrower with fiat currency or stable coins, which are digital tokens pegged to the value of a stable asset such as the US dollar, in exchange for the cryptocurrency collateral. so Big Data Analytics can be used to analyse a large amount of data related to the borrower's financial history, credit score, and other factors that can help in assessing creditworthiness, fraud detection, predictive analysis and credit assessment automation.
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How should the learning algorithms contained in ChatGPT technology be improved so that the answers to questions generated by this form of artificial intelligence are free of factual errors and fictitious 'facts'?
How can ChatGPT technology be improved so that the answers provided by the artificial intelligence system are free of factual errors and inconsistent information?
The ChatGPT artificial intelligence technology generates answers to questions based on an outdated set of data and information downloaded from selected websites in 2021. In addition, the learning algorithms contained in ChatGPT technology are not perfect, which means that the answers to questions generated by this form of artificial intelligence may contain factual errors and a kind of fictitious 'facts'. A serious drawback of using this type of tool is that the ChatGPT-generated answers may contain serious factual errors. When people ask about something specific, they may receive an answer that is not factually correct. ChatGPT often answers questions eloquently, but often its answers may not relate to existing facts. ChatGPT can generate a kind of fictitious 'facts', i.e. the generated answers may contain stylistically, phraseologically, etc. correctly formulated sentences containing descriptions and characteristics of certain objects presented as real existing but not actually existing. In the future, a ChatGPT-type system will be refined and improved, which will be self-learning and self-improving in the analysis of large data sets and will take into account newly emerging data and information to generate answers to the questions asked without making numerous mistakes as is currently the case.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
How should the learning algorithms contained in the ChatGPT technology be improved so that the answers generated by this form of artificial intelligence to the questions asked are free of factual errors and fictitious "facts"?
How can ChatGPT technology be improved so that the answers provided by the artificial intelligence system are free of factual errors and inconsistent information?
What do you think about this subject?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Dear people,
“We live in a world of radical ignorance, and the marvel is that any kind of truth cuts through the noise,” says Proctor. Even though knowledge is ‘accessible’, it does not mean it is accessed, he warns…the knowledge people have often comes from faith or tradition, or propaganda, more than anywhere else.”
Is it a reality - how do you think?
he Turk, also known as the Mechanical Turk or Automaton Chess Player (German: Schachtürke, lit. 'chess Turk'; Hungarian: A Török), was a fraudulent chess-playing machine constructed in the late 18th century. From 1770 until its destruction by fire in 1854 it was exhibited by various owners as an automaton, though it was eventually revealed to be an elaborate hoax.[2] Constructed and unveiled in 1770 by Wolfgang von Kempelen (1734–1804) to impress Empress Maria Theresa of Austria, the mechanism appeared to be able to play a strong game of chess against a human opponent, as well as perform the knight's tour, a puzzle that requires the player to move a knight to occupy every square of a chessboard exactly once.
The Turk was in fact a mechanical illusion that allowed a human chess master hiding inside to operate the machine. With a skilled operator, the Turk won most of the games played during its demonstrations around Europe and the Americas for nearly 84 years, playing and defeating many challengers including statesmen such as Napoleon Bonaparte and Benjamin Franklin. The device was later purchased in 1804 and exhibited by Johann Nepomuk Mälzel. The chess masters who secretly operated it included Johann Allgaier, Boncourt, Aaron Alexandre, William Lewis, Jacques Mouret, and William Schlumberger, but the operators within the mechanism during Kempelen's original tour remain a mystery.
Who answers to users in large language model built on great human thoughts database?
Thinking?
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To what extent does the ChatGPT technology independently learn to improve the answers given to the questions asked?
To what extent does the ChatGPT consistently and successively improve its answers, i.e. the texts generated in response to the questions asked, over time and when receiving further questions using machine learning and/or deep learning?
If the ChatGPT, with the passage of time and the receipt of successive questions using machine learning and/or deep learning technology, were to continuously and successively improve its answers, i.e. the texts generated as an answer to the questions asked, including the same questions asked, then the answers obtained should, with time, become more and more perfect in terms of content and the scale of errors, non-existent "facts", new but not factually correct "information" created by the ChatGPT in the automatically generated texts should gradually decrease. But has the current, next generation of ChatGPT 4.0 already applied sufficiently advanced, automatic learning to this tool to create ever more perfect texts in which the number of errors should decrease? This is a key question that will largely determine the possibilities for practical applications of this artificial intelligence technology in various fields, human professions, industries and economic sectors. On the other hand, the possibilities of the aforementioned learning process to create better and better answers to the questions asked will become increasingly limited over time if the knowledge base of 2021 used by ChatGPT is not updated and enriched with new data, information, publications, etc. over an extended period of time. In the future, it is likely that such processes of updating and expanding the source database will be carried out. The issue of carrying out such updates and extensions to the source knowledge base will be determined by the technological advances taking place and the increasing pressure on the business use of such technologies.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
To what extent does ChatGPT, with the passage of time and the receipt of further questions using machine learning and/or deep learning technology, continuously, successively improve its answers, i.e. the texts generated as a response to the questions asked?
To what extent does the ChatGPT technology itself learn to improve the answers given to the questions asked?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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GPT-4 is even more transformative for creating media. It can handle 25,000 words! It can easily work with you to write books, compose songs or research papers. With 25,000 words AI will be much more powerful. For example, you can ask it to consume all of David Ogilvy’s books on copywriting and use what it’s learned to rewrite landing pages, sales pages, your home page. No person can keep 25,000 words in their head, and effectively reason and manipulate with the information. The impact here will be incredible. It will transform education. I can give GPT-4 whole sets of documents and ask it to provide a step-by-step guide to teach me what’s in it …… woah. Khan Academy just launched an AI tutor for their courses...
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As part of ongoing technological advances and continually improving, could artificial intelligence equipped with new Big Data analytics solutions and full access to data on the Internet be equipped in future with solutions for self-learning and self-improvement and perhaps also with a kind of artificial consciousness and therefore ultimately prove to be more intelligent than humans?
Year after year, microprocessors will be developed to process ever faster and ever larger data sets. More and more perfect artificial intelligence solutions will also be built, and successive generations of artificial intelligence will be created, e.g. much more perfect than what is currently offered, for example, by the technology on which ChatGPT was developed, which is offered on the Internet in open access. However, the ever-increasing computational capabilities of ICT information technology and the ever-larger, multi-terabyte datasets that can be efficiently processed do not yet ensure the success of a specific, highly intelligent outcome. An important issue is the use of increasingly sophisticated, multi-criteria, complex analytical models, including models composed of multiple algorithms and equipped with the capacity for self-learning and self-improvement using large amounts of data and information retrieved from, for example, the Internet. But it cannot be ruled out that perhaps in the future, a constantly improved artificial intelligence equipped with new Big Data Analytics solutions and full access to data on the Internet may prove to be more intelligent, but it will not be smarter than humans even if it is equipped with a kind of artificial awareness in the future. Perhaps citizens will receive on their smartphones in the future a kind of much more enhanced personal advisors than those currently in use, who will provide highly professional answers to the various questions asked by smartphone users on the basis of data available on the Internet and processed in real time on the Big Data Analytics platform and on the basis of the new generations of machine learning, deep learning and artificial intelligence technology used in these automated advisory solutions. And beyond that, whether such solutions can significantly deepen the issue of new cybercrime techniques and new cyber security systems.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Within the framework of the technological advances that are taking place and which are constantly being improved, could artificial intelligence equipped with new Big Data Analytics solutions and full access to data on the Internet in the future be equipped with solutions for self-learning and self-improvement and perhaps also with a kind of artificial consciousness and therefore ultimately prove to be more intelligent than humans?
What do you think about this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Dear Dariusz Prokopowicz , mitigating risks from generative AI tools such as ChatGPT means involving humans in final decision-making and establishing guardrails...
There are three significant dangers that could result from generative AI, the first being the creation of killer biological viruses...
Second, bad actors can use generative AI tools to create and target misinformation...
Generative AI can be dangerous when its decision-making is faster than humans, particularly in critical situations...
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Does the application of artificial intelligence to automate credit scoring processes of potential borrowers allow to improve credit risk management processes and increase profitability of commercial banks' lending activities?
Does the application of specific artificial intelligence technologies for the automation of risk analysis processes, the execution of credit scoring processes for potential individual credit transactions, the ongoing monitoring of open credit transactions and the analysis of changes in the level of credit risk significantly allow the improvement of credit risk management processes and the optimisation of credit processes in the context of improving the profitability of commercial banks' lending activities?
Commercial banks operating according to the classic deposit and credit banking model generate revenues and profits mainly from lending activities. On the one hand, the formation of the quality of the bank loan portfolio and the level of financial results are determined by external factors, i.e. the economic situation in the economy, the economic environment of the bank's customers, borrowers taking bank loans and depositors placing their financial surpluses on bank deposits. On the other hand, the efficiency of the lending business and the development of financial results are also influenced by internal factors, which primarily include the efficiency of the credit risk management process. The credit risk management process is carried out on a stand-alone basis in terms of examining the creditworthiness of the potential or current borrower (ongoing monitoring of the loan granted) and the credit risk the bank accepts in the situation of granting a loan. The credit risk management process is also carried out in banks on a portfolio basis with regard to the entire portfolio of loans granted and by type of loan. Both in terms of the individual and portfolio risk management process, banks are seeking to improve and optimise these processes through the involvement of new information technologies and Industry 4.0. Thanks to these new technologies, banks have the possibility to transfer part of their risk management processes to the bank's internal IT systems and to offer loans also and increasingly via the Internet. Loans of relatively low amounts, consumer loans, instalment loans, i.e. mainly granted to the public, and working capital loans to businesses can already be entirely remote communication with the customer via the Internet. In the case of home and business loans, including investment loans, banks require the borrower to provide various business-related documents to carry out a creditworthiness analysis and examine a number of different economic, financial, operational, investment risk factors, etc., which can be used as a basis for the creditworthiness analysis. As a result, the process of granting these types of business, investment and housing loans, which are usually also for relatively higher amounts, is not yet fully feasible via the Internet when the process of granting these loans itself is not expected to generate high operational risks for banks. However, ongoing technological advances may also change this significantly in the future. At present, banks are trying to implement new Industry 4.0 technologies into their lending activities in order to improve and optimise their costs. The use of new Industry 4.0 technologies in banks is also determined by the need to improve computerised cyber-security systems with a view to constantly improving cyber-security. Recently, key Industry 4.0 technologies that banks are implementing into their operations include artificial intelligence, machine learning technology, deep learning, Big Data Analytics, cloud computing, Internet of Things, Blockchain, multi-criteria simulation models, digital twins, etc. Particularly new opportunities arise in terms of improving both remote marketing communication techniques, optimising banking procedures, reducing the scale of the bank's operational risks and also improving credit procedures and the credit risk management process by involving artificial intelligence in the bank's operations.
In view of the above, I address the following question to the esteemed community of scientists and researchers:
Does the application of specific artificial intelligence technologies for the automation of risk analysis processes, the execution of credit scoring processes for potential individual credit transactions, the ongoing monitoring of open credit transactions and the analysis of changes in the level of credit risk make it possible to improve credit risk management processes and the optimisation of credit processes to a significant extent in the context of improving the profitability of commercial banks' lending activities?
And what is your opinion on this topic?
What is your opinion on this subject?
Please respond,
I invite you all to discuss,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Yes, it is just a play of coding for automating such applications and obviosly enhaces every banjng related processes, such as lending, investing, crediting etc.
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Can artificial intelligence help optimize remote communication and information flow in a corporation, in a large company characterized by a multi-level, complex organizational structure?
Are there any examples of artificial intelligence applications in this area of large company operations?
In large corporations characterized by a complex, multi-level organizational structure, the flow of information can be difficult. New ICT and Industry 4.0 information technologies are proving to be helpful in this regard, improving the efficiency of the flow of information flowing between departments and divisions in the corporation. One of the Industry 4.0 technologies that has recently found various new applications is artificial intelligence. Artificial intelligence technology is finding many new applications in recent years. The implementation of artificial intelligence, machine learning and other Industry 4.0 technologies into various business fields of companies, enterprises and financial institutions is associated with the increase in digitization and automation of processes carried out in business entities. For several decades, in order to refine and improve the flow of information in a corporation characterized by a complex organizational structure, integrated information systems are being implemented that informationally connect applications and programs operating within specific departments, divisions, plants, etc. in a large enterprise, company, corporation. Nowadays, a technology that can help optimize remote communication and information flow in a corporation is artificial intelligence. Artificial intelligence can help optimize information flow and data transfer within a corporation's intranet.
Besides, the technologies of Industry 4.0, including artificial intelligence, can help improve the cyber security techniques of data transfer, including that carried out in email communications.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
Can artificial intelligence help optimize remote communication and information flow in a corporation, in a large company characterized by a multi-level, complex organizational structure?
What is your opinion on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best regards,
Dariusz Prokopowicz
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AI as technology has tremendous capabilities. However, any practical result is implementation talent dependent. A great poet and a mediocre poet may use similar words/language, but the results would be very different.
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In the not-too-distant future, will it be possible to merge human consciousness with a computer, or to transfer human consciousness and knowledge to a computer system equipped with sufficiently highly advanced artificial intelligence?
This kind of vision involving the transfer of the consciousness and knowledge of a specific human being to a computer system equipped with a suitably highly advanced artificial intelligence was depicted in a science fiction film titled "Transcendence" (starring Jonny Deep) It has been reported that research work is underway at one of Elon Musk's technology companies to create an intelligent computerized system that can communicate with the human brain in a way that is far more technologically advanced than current standards. The goal is to create an intelligent computerized system, equipped with a new generation of artificial intelligence technology so that it will be possible to transfer a copy of human knowledge and consciousness contained in the brain of a specific person according to a concept similar to that depicted in a science fiction film titled "Transcendence." In considering the possible future feasibility of such concepts concerning the transfer of human consciousness and knowledge to an information system equipped with advanced artificial intelligence, the paraphilosophical question of extending the life of a human being whose consciousness functions in a suitably advanced intelligent information system is taken into account, while the human being from whom this consciousness originated previously died. And even if this were possible in the future, how should this issue be defined in terms of the ethics of science, the essence of humanity, etc.? On the other hand, research and research-implementation work is already underway in many technology companies' laboratories to create a system of non-verbal communication, where certain messages are transmitted from a human to a computer without the use of a keyboard, etc., only through systems that read people's minds, for example. through systems that recognize specific messages formulated non-verbally in the form of thoughts only and a computer system equipped with electrical impulse and brain wave sensors specially created for this purpose would read human thoughts and transmit the information thus read, i.e., messages to the artificial intelligence system. This kind of solution will probably soon be available, as it does not require as advanced artificial intelligence technology as would be required for a suitably intelligent information system into which the consciousness and knowledge of a specific human person could be uploaded. Ethical considerations arise for the realization of this kind of transfer and perhaps through it the creation of artificial consciousness.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
In the not-too-distant future, will it be possible to merge human consciousness with a computer or transfer human consciousness and knowledge to a computer system equipped with sufficiently highly advanced artificial intelligence?
And if so, what do you think about this in terms of the ethics of science, the essence of humanity, etc.?
And what is your opinion on this topic?
What do you think on this issue?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Computer is a mechanical device for our mind & it will help us to carry out the same with our programming performance in a right mode with this it will be ridiculous to join human consciousness it cannot be a subject of measurement to place computer in the near future.
This is my personal opinion
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(Matlab, R, Python, ...??)
taking into account the current evolution of artificial intelligence
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you don't regret with Python
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Please I want to clarify something. I trained a machine learning algorithm with a data set and tested it and I received as a good result but if possible write an algorithm just for the test to test the new data to avoid learning phase? Thanks.
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Hi Jamila, as I understood, you have trained a model and want to use the same model without re-training it,
I am not sure of the programming language you used, but in Python, like in most programming languages, it is quite possible to save the model and use it again without retraining it.
Best,
Mohammad
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The new trend of transportation Engineering Activities enrolled different technologies. These technologies include: Computer Vision, GIS, Neural Network, Artificial Intelligence; Digital Photogrmmetry, Unmanned drones, Expert and Knowledge-based systems, Digital Mapping, cellular phone usage, 3D-mapping; etc.
What do you thing the second era for the new millennium will be?
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Trying to gather some ideas for the future of new generation.
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Please consider and discuss any or all of the following questions:
1. Can AI be used in Decentralized Autonomous Systems (DAO)? How?
BEST ANSWERS
Arez Wazwaz
2. Would the AI be a platform, a DAO member, manager of the DAO or have some other role?
BEST ANSWERS
Arez Wazwaz
3. What are the advantages and risks of using AI in a DAO?
NOTE: Please share any sources you may be aware of. Thanks for any contribution.
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Rafael Dean Brown By September 2016, The DAO's value token, known as DAO, had been delisted from major cryptocurrency exchanges (such as Poloniex and Kraken) and had effectively gone inactive.
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Can anyone provide me with PSO MATLAB code to optimize the weights of multi types of Neural Networks?
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Dear Murana Awad,
Application of PSO-BP Neural Network in GPS Height Fitting
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Like other meta-heuristic algorithms, some algorithms tend to be trapped in low diversity, local optima and unbalanced exploitation ability.
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Integrate in your metaheuristics the tangent flight operator
X=X+tan(rand*pi) % large flight
or
X=X+ sign(rand-0.5)*tan(rand*pi/2.5) % small flight
This operator has great capacity of exploitation
Layeb, Abdesslem. "Tangent search algorithm for solving optimization problems." Neural Computing and Applications (2022): 1-32.
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Naseer Bhat asked "What is consciousness? What is its nature and origin?" We do not know. We can speculate about nature and origin but for what should this be good? I think there is a necessitiy in data processing which forced the evolutionary process to create this phenomenon. I am sure anticipation, association and social interaction are part in this process. May be the analyssis of wet brains will bring some light in this question, but we should follow this question step by step in bottom up manner asking what an organism needs to process the environmental and inner data. To decide if there is consciousness we need a significant prove method. This would be a much harder problem then creating a consciousness automata.
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I came across this paper and felt like sharing with the team
Hope so this is quite important and might be of helpful to the team for further research
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Hello everyone,
Could you recommend papers, books or websites about mathematical foundations of artificial intelligence?
Thank you for your attention and valuable support.
Regards,
Cecilia-Irene Loeza-Mejía
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Mathematics helps AI scientists to solve challenging deep abstract problems using traditional methods and techniques known for hundreds of years. Math is needed for AI because computers see the world differently from humans. Where humans see an image, a computer will see a 2D- or 3D-matrix. With the help of mathematics, we can input these dimensions into a computer, and linear algebra is about processing new data sets.
Here you can find good sources for this:
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Will it be possible to build an artificial consciousness similar to human consciousness in digitized structures of artificial intelligence if in specific structures of artificial intelligence will digitally reproduce the artificial structures of neurons and the entire central nervous system of humans?
If artificial intelligence that mapped human neurons was built, then it would be a very advanced artificial intelligence. If artificial intelligence was built in such a way that all human neurons would be reconstructed in digital technology, it would mean the possibility of building cybernetic structures capable of collecting and processing data in a much larger database capacity than at present. However, if it would only be the reproduction of simple neural structures and their reproduction to the number of neurons contained in the human organism, then only or mainly quantitative and not necessarily qualitative factors that characterize the collection and processing of data in the human brain would be achieved. Without achieving all of the qualitative variables typical of the human nervous system in a cybernetic counterpart, it might be doubtful to create in this cybernetic structure an artificial nervous system of cybernetic consciousness which is the equivalent of human consciousness.
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Will it be possible to build an artificial consciousness similar to human consciousness in digitized structures of artificial intelligence if in specific structures of artificial intelligence will digitally reproduce the artificial structures of neurons and the entire central nervous system of humans?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Gerard van Reekum,
Yes of course. As of today, it is not possible to be sure of the implementation of a specific scenario of future developments, including the development of artificial intelligence technologies. However, in our discussion, we try to consider the most likely scenarios for future developments.
Thank you, Regards,
Dariusz Prokopowicz
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Will artificial neural structures become such advanced artificial intelligence that artificial consciousness will arise? Theoretically, such projects can be considered, but to really verify this, artificial neural structures should be created. From research on the human brain, it appears that this is a very complex and yet not fully understood neural structure. The brain has various centers, areas that manage the functioning of specific organs and processes of the human body. In addition, Sylvia is also complex and consists of elements of emotional, abstract, creative, etc. intelligence that also function in separate sectors of the human brain.
In view of the above, does research on the human brain and progress in the construction of ever more complex structures of artificial intelligence lead to synergy in the development of these fields of science? Will the development of these fields of science lead to the integration of research into the analysis of human brain activity and the construction of more and more complex structures of artificial intelligence equipped with elements of emotional, creative intelligence, etc.?
Besides, does the improvement of artificial intelligence lead to the emergence of artificial emotional intelligence and, consequently, to autonomous robots that will be sensitive to specific changes in environmental factors, factors of the surrounding environment? Will specific changes in the surrounding environment trigger programmed reactions of advanced artificial emotional intelligence, ie activation of pre-programmed algorithms of implemented activities and learning processes as part of improving the learning processes of machines.
Therefore, another important question arises in this area:
Is it possible to create an artificial consciousness that will function with the structure of an artificial electronic neural network built in such a way as to reflect the structure of the human brain? In this way, the structure of advanced artificial intelligence will be able to improve on the basis of acquired knowledge eg from external internet databases?
Do you agree with me on the above matter?
In the context of the above issues, I am asking you the following question:
Will it be possible to build artificial emotional intelligence?
Please reply
I invite you to the discussion
Thank you very much
Best wishes
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Dear Baydaa A. Hassan,
I also wish you good luck and invite you to our discussion.
Thank you, Regards,
Dariusz Prokopowicz
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What kind of scientific research dominate in the field of Artificial intelligence?
Please, provide your suggestions for a question, problem or research thesis in the issues: Artificial intelligence.
Please reply.
I invite you to the discussion
Best wishes
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Thomas Wayburn,
Like I said above, human intelligence, from his/her capacitation created smart technical taskmaster technology, there is not artificial intelligent, it's the product of by real human intelligent.
I call it misuse of phrase.
Regards,
Fatema Miah
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Please discuss/ suggest best workable strategies to get desired results with VQGAN+CLIP for improving upon the generative outcomes.
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Dear Aman Arora ,
Look the link, maybe useful.
Regards,
Shafagat
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U-net Neural Networks are similar to GAN and consist of a contracting path and an expansive path.
In this regard can we consider that U-Net a part of Generative Adversarial Networks (GAN) Architecture? Can be GANs use for Segmentation pictures similar to U-Net?
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"U-Net is similar to auto-encoder which can learn the latent representation and reconstruct the output with the same size as the input."- So to obtain the generation requirement, a research reported to concatenate a Gaussian variable into the latent representation to ensure that it will not generate the same image each time. The interesting article, "Generative Adversarial U-Net for Domain-free Medical Image Augmentation" link relating to the answer is given here: https://arxiv.org/pdf/2101.04793.pdf
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I think that Generative Adversarial Networks can be used as Data Farming Means. What do you know about such an approach? Can you give another example of means for Data Farming?
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Other approaches exist. For instance (and mostly application based)
Extreme Data Mining.
A strategy to apply machine learning to small datasets in materials science.
Machine learning on small size samples: A synthetic knowledge synthesis.
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As I have observed, if we increase window size then it increases accuracy which in turn slowdowns the training. Contrarily, if we decrease input window size then accuracy decreases, and the network gets trained faster. Need suggestions for obtaining the best results from LSTM network with optimal window size.
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Thanks Shahboz!
You're right! Window size depends on multiple factors including model type and behavior of signal considered for experimentation. I got it resolved through considering sampling frequency of the signal and model complexity. Now, It works fine on my project.
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