Automation - Science topic

Hello everyone,

I am researching AI-enabled systems' impact on user interaction and experience. Specifically, I want to understand how different AI technologies (such as computer vision, natural language processing, and machine learning) enhance user engagement and satisfaction in various applications.

Here are a few questions to kick off the discussion:

I’m looking to identify the various elements that affect how users interact with AI systems, such as user interface design, accuracy, reliability, ease of use, and personalization.

I am interested in comparing AI-enabled systems with traditional, non-AI systems regarding user experience. How do AI systems provide more intuitive and responsive interactions, offer personalized recommendations, and automate routine tasks?

I would appreciate references to existing research or case studies demonstrating successful AI implementations in improving user interaction. Examples from healthcare, education, or customer service would be precious.

Any insights, references, or personal experiences would be greatly appreciated!

Thank you!

Benefits of AI in Higher Education Improved Educational Opportunities: education that is customized to meet the needs of each unique learner. enhanced accessibility via assistive technologies for students with disabilities. Simulations and interactive materials make learning more interesting. Efficiency in Administration: Routine chores can be automated to free up employees for more important work. enhanced analysis and processing of data to facilitate better decision-making. Developments in Research: Research advances more quickly as a result of speedier data processing. AI-powered systems that enable international research cooperation. Assistance for Students: Using predictive analytics, retention rates can be raised by identifying students who want more assistance. International Cooperation: Geographical distances can be overcome by AI, resulting in global research collaborations. AI's drawbacks in higher education Employment Displacement: Automation may result in the loss of administrative positions. Bias and Ethical Issues: danger of biased AI systems for grading and admissions. Ethics-based supervision and accountability for AI choices are required. The Digital Divide differences in how well-funded and under-funded institutions use AI. Security and Privacy of Data: difficulties in guaranteeing the security and privacy of student data. Over-reliance on artificial intelligence Potential for greater susceptibility to system faults and less human control. Gap in Skills: Faculty and students must acquire new skills in order to use AI technologies efficiently. Research homogenization: There is a chance that using similar AI techniques will result in the loss of varied research perspectives. Expense and Obsolescence of Technology: high upfront costs and the difficulty of staying up to date with the quick changes in technology. Regulatory and Political Difficulties: navigating financial priorities and governmental regulations that could affect the use of AI.

Hello,

I recently read the paper titled "Stereo Plane R-CNN: Accurate Scene Geometry Reconstruction Using Planar Segments and Camera-Agnostic Representation" published in IEEE Robotics and Automation Letters (RA-L). I found this work highly interesting and would like to explore it further by reproducing the experiments.

However, I encountered an issue when trying to access the datasets and pretrained model provided in the GitHub repository—the links are no longer accessible. Could you kindly provide updated links or share the datasets (SceneNet Stereo and TERRINet) and pretrained model through an alternative method?

Your assistance would be greatly appreciated, as it would enable me to fully understand and build upon your work.

Thank you in advance!

Hi, I have an ordinary geometry. This geometry has to be updated in a specified timestep interval. I want to generate a script (using the Automation Tab in Ansys Meshing). Everything works fine: the sizing, inflation, and mesh generation commands work great without an error when running the script for any new Ansys Meshing project. However, the named selections are not generated for any boundaries. I've followed this path for generating named selections to be written in the Scripting Window: Model -> Named Selection -> Geometry Selection (I selected the edges there).

I keep getting this error:

'NoneType' object has no attribute 'Location'

The code written in the Scripting Window while recording reads:

Code:

#region UI Action

named_selection_1 = DataModel.GetObjectById(29)

selection =ExtAPI.SelectionManager.CreateSelectionInfo(SelectionTypeEnum.GeometryEntities)

selection.Ids = [9]

named_selection_1.Location = selection

#endregion

Any help would be greatly appreciated.

2025 4th International Conference on Energy Utilization and Automation (ICEUA 2025) will be held in Beijing, China from January 17-19, 2025.

The topics of interest for submission include, but are not limited to:

1. Energy Engineering

· Simulation and optimization of energy conversion systems

· Energy materials

· Carbon capture and storage

· Energy equipment

· Modelling and optimization of heat pumps, refrigeration and air conditioning systems

· Urban energy systems

· Energy storage systems

· Transport and distribution of electric Energy

·New energy systems and control technology

2. Automation Engineering

· Measurement and control technology and instrumentation

· Modern signal processing and detection technology

· Automation technology applications

· Microwave millimeter wave test technology and remote sensing

· Automatic control application theory

· Control systems engineering

· Control system simulation technology

· Navigation guidance and control

· Fluid transmission and control

· Automation instrumentation and devices

· Robot control

· Control science and technology

Submitted paper will be peer reviewed by conference committees, and accepted papers after registration and presentation will be published in Journal of Physics: Conference Series (ISSN:1742-6596), which will be submitted for indexing by EI Compendex, Scopus.

Full Paper Submission Date: December 27, 2024

Registration Date: January 6, 2025

Final Paper Submission Date: January 10, 2025

Conference Dates: January 17-19, 2025

Please send the full paper(word+pdf) to Submission System:

Post COVID-19, certain Hotels network's ongoing HR system was not able to fulfill the drawn- out needs of the worldwide labor force. Since the launch, the workforce in the US have been utilizing this upgrade and finding it productive, the new HRM modules automate the organization and the daily HR exercise such as core HR processes, recruiting, payroll, absence management, performance evaluation, compensation, and learning. The module is also available in multiple languages.

In my opinion, AI and Big Data technologies are being combined in a number of areas where analysis of large data sets combined with intelligent algorithms allows for better results and automation of processes. One of the key applications is personalization of services and products, especially in the e-commerce and marketing sectors. By analyzing behavioral data and consumer preferences, AI systems can create personalized product recommendations, dynamic advertisements or tailored pricing strategies. The process is based on the analysis of huge datasets, which allow precise prediction of consumer behavior.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

I described the applications of Big Data technologies in sentiment analysis, business analytics and risk management in my co-authored article:

And what is your opinion 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,

Dariusz Prokopowicz

In the area of automated software testing there are countless tools on the market. These tools are meant for different types of software testing making it time-consuming when it comes to investigating and knowing which type of tool will work for a particular application. How can the selection process be simplified?

The function and popularity of Artificial Intelligence are soaring by the day. Artificial Intelligence is the ability of a system or a program to think and learn from experience. AI applications have significantly evolved over the past few years and have found their applications in almost every business sector.

AI enhances decision-making, automates repetitive tasks and drives innovation throughout various industry sectors. AI can answer vital questions, which might not even cross a human mind and process big data in fractions of seconds to spot patterns that humans would never see, resulting in better decision-making.

AI also paves the way for personalization, improves customer experience and might one-day re solve some of the planet's grand challenge problems like climate change or disease prevention. As AI further develops, it has the ability to change our lives and work.

source: 24 Artificial Intelligence Applications in 2025

https://www.simplilearn.com/tutorials/artificial-intelligence-tutorial/artificial-intelligence-applications

Artificial intelligence technology has significantly enriched the range of tools available to researchers and scientists, supporting them in data analysis, writing publications, organizing work, and automating repetitive tasks. In the field of managing scientific literature, applications like Mendeley and Zotero enable document organization, automatic citation formatting, and recommendations for new publications. For data analysis and statistics, tools such as IBM SPSS Modeler and RapidMiner are particularly useful, as they employ machine learning algorithms to analyze large datasets, while Google Colab offers access to AI libraries and a Python environment for advanced data processing. In writing and editing scientific texts, applications like Grammarly and Writefull enhance linguistic quality and clarity, while ChatGPT supports the generation of summaries and research ideas. For data visualization, Tableau and Power BI are indispensable, as they integrate AI to automate trend analysis and suggest visualization formats, with BioRender aiding in the creation of aesthetically pleasing scientific diagrams. In natural language analysis, Leximancer and NVivo facilitate qualitative research by automatically identifying key themes and patterns in textual data. Teamwork organization is made easier with tools like Notion and Slack, which leverage AI features to manage projects and improve communication. For exploring scientific literature, applications such as Semantic Scholar and Connected Papers allow users to uncover relationships between articles and recommend key publications. These tools significantly streamline research processes, save time, and open new opportunities in science, adapting to the specific nature of the research being conducted and the needs of research teams.

In view of the above, I address the following question to you:

Please feel free to respond.

I invite you to join the discussion and scientific cooperation.

Thank you very much.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

I invite you to familiarize yourself with the issues described in the article given above and to cooperate scientifically on these issues.

Kind regards,

Dariusz Prokopowicz

As emerging technologies like Generative AI tools continue to evolve, they’re creating exciting opportunities for educators and students. From enhancing teaching strategies to automating administrative tasks, Gen AI has the potential to transform how we teach and work.

I’m reaching out to this education community—students, professors, faculty members, and more:

Your experiences, ideas, and examples would be incredibly valuable. Whether you’re an educator, a student, or someone working with Gen AI tools, I’d love to hear your perspective!

Let’s brainstorm together and explore the future of Gen AI in education. Share your thoughts in the comments, or tag someone who might have insights to contribute!

#AIinEducation #GenerativeAI #EdTech #TeachingInnovation #ResponsibleAI

I propose a discussion on my PDF-PowerPoint "Artificial Intelligence and Education: questions, opportunities, and perspectives". I used this PDF-PowerPoint for the lecture held as keynote speaker at the International Conference "Education & Artificial Intelligence", organised on Saturday, 9th November 2024 by the FACULTY OF PHILOSOPHY - WIDYA MANDIRA CATHOLIC UNIVERSITY OF KUPANG. The development of Artificial Intelligence in different sectors has produced noteworthy changes: for instance, healthcare, financial sectors, and manufacturing have experienced profound changes due to the application of Artificial Intelligence. The education system is no exception in relation to the application of Artificial Intelligence: the sector of education has already experienced changes and will experience changes in the future, due also to the progress which Artificial Intelligence is making year after year. The theme of Artificial Intelligence in education has different aspects. On the one hand, the application of artificial intelligence gives the opportunity of personalised and efficient learning; it gives moreover the opportunity to improve the teaching activity. The chance of an automated assessment of the students is then to be added. Therefore, both the teaching sector and learning sector are interested by the application of Artificial Intelligence. On the other hand, ethical questions are connected to the subject of Artificial Education. Like every profound reform, the application of artificial intelligence in the sphere of education will confront us with a multi-faceted situation in which we shall find, at the same time, advantages and problems. The questions will go on for years and years: learning and teaching will experience profound changes so that the problems connected to the changes will be several. Due to the complexity of the questions connected to Artificial Intelligence, the questions of the application of Artificial Intelligence in the sphere of education ought to be discussed by teachers, parents, and directors of schools, i.e., the complexity of the question cannot be discussed exclusively in one environment: the complexity of the subject asks for analyses which ought to be fulfilled in different sectors. The discussion within the sector of the school is necessary, but not sufficient to investigate all questions connected to the application of Artificial Intelligence in the education of pupils. The discussion and the analysis of the problems connected to Artificial Intelligence ought to be fulfilled within the families of the pupils too.

On behalf of the IEEE Joint Control, Robotics, and Instrumentation (RA24/IM09/CS23) Lebanon Chapter, I would like to bring your attention to an exciting opportunity to publish your research findings in the International Conference on Control, Automation, and Instrumentations (IC2AI’25), organized under the aegis of IEEE (and potentially IFAC). We would greatly appreciate it if you can forward to your network to help us spread the word about the conference.

Event Details

Conference Name: International Conference on Control, Automation, and Instrumentations (IC2AI’25).

Date: February 11th - 13th, 2025.

Venue: Université La Sagesse , Beirut, Lebanon - HYBRID Mode

Conference Poster: Attached.

The IC2AI’25 conference aims to bring together researchers, engineers, and practitioners from diverse fields to showcase their latest research, applications, and innovations in control systems, automation, instrumentation, robotics, AI, and more. The gathering will serve as a platform for exchanging ideas on both national and international levels, fostering collaborative research projects, and promoting academic and industrial advancements in these crucial domains.

Key Highlights:

Distinguished researchers in Engineering will be invited as keynote speakers.

The conference is the official scientific event for the IEEE Joint RA/IM/CS Lebanon Chapter.

The conference will offer workshops on topics relevant to its scope and aims.

Université La Sagesse, Faculty of Engineering will be the host and organizer of the event.

The conference will span over two days, featuring peer-reviewed paper submissions.

Accepted papers will be considered for inclusion in IEEE Xplore.

Some papers will be considered for extension to be included as a book chapter

We eagerly anticipate your contributions to make IC2AI’25 a resounding success. Your involvement would be greatly appreciated and valued.

For submission, please use the following link: https://lnkd.in/gx4kcicR

The paper submission deadline will be on October 25th, 2024.

I NEED A PUBLISHER FOR MY PROPOSED EDITED BOOK, SCOPUS-INDEXED

Please I need your suggestion on which Publisher to reach out for the publication of my full chapter proposition on AI and Inclusive education, technological integration in education and others?

I have approached IGI.

They kept rejecting my proposal with their automated messages, even after working on their suggested themes🙇🙇.

Any suggestion?

Thank you

I am manually counting neurons in specific brain regions with bright-field stainings and I was wondering if anyone has a way to automate this? I am using the software Aperio ImageScope now, but am open to other suggestions! Thanks in advance!

Some scholars (see Morgan, D. L. (2023). Exploring the use of artificial intelligence for qualitative data analysis: The case of ChatGPT. International journal of qualitative methods, 22, 16094069231211248.) are recommending the use of ChatGPT and other similar AI tools to automate the data analysis process. However, many university lecturers and examiners have negative feelings about using the ChatGPTs of the world in higher education research.

Are there any traditional software programs (like NVivo, MaxQDA, etc) that offer automated coding and thematic analysis?

Thank you for your help.

Johann

The birth of AI has had a profound impact on the design industry, changing the processes, tools and industry landscape. Here are the main impacts and possible future trends of AI on the design industry:

1. Increased design efficiency

Automated design tools: AI can handle repetitive tasks such as automatic generation of sketches, pattern fills, colour adjustments, etc., allowing designers to focus on the more creative parts of the process. For example, Adobe's AI tool Sensei helps designers automate specific editing tasks in image and video processing.

Accelerating the design process: AI-assisted design software can quickly generate multiple solutions, allowing designers to try out different styles and colour combinations in a short period of time, thus improving efficiency and shortening the design cycle.

2. Personalised design and user experience optimisation

Customized design solutions: AI can provide personalized design solutions based on user preferences and behavioural data. For example, by analysing user data, AI can generate personalised advertisements, websites or application interfaces to enhance user experience.

Predicting user needs: AI can analyse users' behavioural habits through machine learning, thus predicting their potential needs and helping designers to more accurately meet the expectations of target users in their designs.

3. Creativity and inspiration stimulation

Intelligent Generation of Design Inspiration: AI generation tools can provide designers with a large number of design references and inspirations, and stimulate designers' creativity by generating diverse sketches or styles. For example, AI can generate different art styles or recommend colour combinations to help designers find new creative directions.

Enhanced human-machine cooperation: AI, as a creative assistant, can interact and collaborate with designers and even help them overcome design bottlenecks. The mode of human-machine cooperation allows designers to quickly try out new concepts and design elements with the assistance of AI.

4. Lowering the design threshold

Popularise the design capabilities of non-professionals: the intelligence and user-friendliness of AI design tools make it easy for non-professionals to create design works. This means that more people can participate in design without having to have deep professional skills.

Popularity of templated designs: Many AI design tools offer templates and automated design options that allow simple design tasks to be automated, which allows small businesses and individuals to complete design work at a much lower cost.

5. Redefinition of industry competition

Shifting Role of the Designer: As AI takes on more and more repetitive tasks in design, the role of the designer is shifting from ‘creator’ to ‘guide’ or ‘planner’, focusing on a more strategic approach. to ‘guide’ or ‘planner,’ focusing on more strategic and creative work.

Increased Competition and Value Shift: The proliferation of AI design tools may lead to increased competition in the design market, with basic design tasks being replaced by automation. In the future, designers will need to be more creative and strategic to remain competitive in the industry.

6. AI design ethics and copyright issues

Copyright attribution: AI-generated design works bring up the issue of copyright attribution, especially when AI is more deeply involved in the creation, how to define copyright attribution is a new legal issue.

Homogenisation of design styles: AI relies on a large amount of existing data for learning and therefore may lead to homogenisation of design styles, making the design industry lose its diversity and uniqueness, especially when a large number of designs are generated from similar algorithms.

7 Future trends and possibilities

The need for AI-assisted skills for designers: as AI becomes more prevalent in the design industry, designers in the future may need to acquire AI-related technologies and data analysis skills to better utilise AI tools to get the job done.

Convergence of design and data science: in the future, designers may need to rely more on data analysis to understand user needs through AI and big data, and provide users with more personalised design solutions.

IEEE 2024 6th International Academic Exchange Conference on Science and Technology Innovation (IAECST 2024) will be held on December 6-8, 2024 in Guangzhou,China.

The conference will delve into research areas such as information engineering, mechanical engineering, and power engineering, focusing on cutting-edge technologies shaping the future. Topics include IoT, AI, cloud computing, automation, energy systems, and more. By fostering collaboration among enterprises, universities, and research institutions, the conference aims to accelerate technological innovation in the Guangdong-Hong Kong-Macau Greater Bay Area and share groundbreaking research findings.

The topics of interest for submission include, but are not limited to:

1. Communication Engineering

2. Internet of Things

3. Al Big Data Mining

4. Intelligent Cloud Computing

5. Signal Processing

6. Remote Sensing and Satellite Communications

7. Software Engineering

......

Please send the full paper(word+pdf) to Submission System:

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② International Conference on New Energy System and Electrical Engineering (NESEE 2024)

The topics of interest for submission include, but are not limited to:

1. New Energy Systems

· Energy Saving Technologies

· Energy Storage Technologies

· Renewable Energy

· Energy Engineering

......

2. Electrical and Power Engineering

· Electrical Automation and Power Engineering

· Smart Grid / Power IC

· Power Machinery and Engineering

......

Please send the full paper(word+pdf) to Submission System:

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The topics of interest for submission include, but are not limited to:

1. New-generation Information Technology

2. Information Processing

3. Communication Technology

4. Basics of Computer Science

5. Computer Software

6. Computer Networks

......

Please send the full paper(word+pdf) to Submission System:

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The topics of interest for submission include, but are not limited to:

◕ Mechanical Engineering

Mechatronics

Intelligent control

Vehicle engineering

Smart manufacturing

......

◕ Automation

Detection and Sensing Technology

Electrical control and automation

Dynamic mechanical analysis, optimization and control

Control system modeling and simulation techniques

......

Please send the full paper(word+pdf) to Submission System:

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The topics of interest for submission include, but are not limited to:

1. Logistics System and Information Technology

2. Traffic and Transportation Engineering

3. Traffic Information and Control

4. Traffic Planning and Management

5. Vehicle Operation Engineering

6. Tunnel Bridge, Road and Rail Engineering

......

Please send the full paper(word+pdf) to Submission System:

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The topics of interest for submission include, but are not limited to:

1. Information management and systems

2. Innovation economy

3. Industry 4.0 and Industrial Economy

4. Environmental Economy and Sustainable Development

......

Please send the full paper(word+pdf) to Submission System:

Hello,

I have several .xyz files (each composed of several molecules) and I'd like to find an automated way to visualize and save them.

I'd appreciate any guidance.

I am curious to know if anyone has used the NC-200 and how it compares to any other automated instruments you may have used?

In the past month, August 2023, I have tried repeatedly to contact Researchgate.net staff about some papers I have posted here. One paper is posted only as an abstract, but the main text is missing; the other was posted for 3 days (abstract and full text) and then it disappeared from my research record. I wish to find out why?

My repeated attempts to contact Researchgate.net staff to receive answers to these questions have been declined. I received an automated message stating that "access to the 'contact' site has been denied".

I do not understand what the problem is here.

If anyone else has had similar experiences, please let me know.

Thank you very much!

I'm preparing the research about interpretation of automation, digitalization and digital transformation. I'm interested in different points of view in this question

I am planning to create a new automated lawn mower. For that, I need your ideas.

On behalf of the 3rd EAI International Conference on Automation and Control in Theory and Practice: Artep 2025, I would like to bring your attention to an exciting opportunity to publish your research findings in the conference proceeding, organized under the aegis of the European Alliance For Innovation (EAI).

Date: February 05th - 7th, 2025.

Venue: SAV Academia hotel, Stará Lesná, Slovakia (HYBRID Mode)

We prepare the event's program to be a suitable platform for presenting the results of your projects, a forum for the mutual exchange of experience, and an opportunity to establish working contacts between the meeting participants.

1. Theoretical aspects of automation and control:

modern methods of automatic management,

modelling and simulation,

artificial intelligence in automation and control,

engineering education

2. Modern automation technologies in the context of Industry 4.0

means of automatic control,

HW and SW for the automation of machines and processes,

examples of specific automation and industrial applications,

advanced technologies for Industry 4.0/5.0.

The previous year proceedings you can find on

Creating good software relies heavily on modeling, which involves representing the design of software systems using diagrams. The Unified Modeling Language (UML) is a standard method for this, but manually developing these diagrams can be complex, time-consuming, and requires significant expertise.

This project aims to simplify the process by automatically generating UML diagrams, such as class diagrams and use case diagrams, from software requirements. Instead of building a custom machine learning model from scratch, this approach uses a Large Language Model (LLM), like GPT, through an API. The application will act as an LLM agent where users input their software requirements. The system will then create specific prompts to communicate with the LLM, which will generate the relevant UML diagrams based on those requirements.

In essence, this project explores using advanced AI tools (LLMs) to automate the generation of UML models, making the process faster, easier, and more accessible for software developers.

Artificial intelligence enhances classroom management by providing personalized learning, automated assessments, and attendance management. It also improves the efficiency of the educational process through smart solutions that increase interaction and meet individual student needs.

Of course artificial intelligence probably cannot engineer the exact corresponding genotype for a phenotype. Yet, AI could create A genotype that matches with THE phenotype in question. “We may lack the genotypes of dead people but, we can replicate their phenotypes using artificial intelligence. We can then adjust their phenotypes by adding more progressive and recessive traits(like fertility). Then, we can use AI to create A corresponding genotype for the adjusted phenotype. Lastly, we can give the being(phenotype and genotype) life by making it reproduce”( ).

In what ways can teaching on the AI method enhance educational practices, and how does it impact both students and educators in terms of learning outcomes and engagement?

This question invites exploration into how the integration of AI methodologies into educational settings can transform teaching and learning. It encourages discussion on the benefits of using AI to personalize learning, increase student engagement, and improve learning outcomes through data-driven insights. Additionally, it invites reflection on how AI can support educators by automating routine tasks, offering real-time feedback, and enabling a more focused approach to addressing individual student needs, thus enhancing the overall educational experience.

Hi Folks,

In this discussion, I will provide my Python code for everyone interested in working with DEM in PFC software.

The calibration process in DEM modeling is highly time-consuming, requiring researchers to continuously monitor their computers and adjust their models through trial and error.

This process can be significantly streamlined by developing a Python script that runs in both PFC3D and 2D software. This script can manage other model scripts, run the model, save images, export data, and even adjust micro-parameters with new inputs!

All you need to do is define a range of possible inputs and run the Python script. It takes a few hours to input all your data into the model during each iteration. Finally, you can compare the outputs with the expected results.

I hope this code will assist you in your future DEM modeling endeavors.

What is Automation Optimization Process?

In European countries, what measures do governments or the private sector need to take to deal with the impact of automation and artificial intelligence on the job market?

By asking about challenges, this question delves into the practical difficulties faced during the adoption of digital automation. This can range from technical issues, such as integration with existing systems, to human factors, like resistance to change among employees. Understanding how these challenges were addressed provides insights into problem-solving skills and adaptability in real-world scenarios.

This question is designed to understand the interviewee's perspective on the overall impact of digital automation on marketing. It encourages them to share specific instances where automation tools, like email marketing platforms, chatbots, or CRM systems, have led to measurable improvements in marketing efficiency or effectiveness. This might include faster lead response times, increased personalization, or higher conversion rates.

Grid-walking test refers to the method to assess the locomotion accuracy of a rat/mouse as described in PMID: 22142899.

It's an ardous work to stop the video recordings again and again to count the number of foot-slips and, if tired, researchers can make mistakes. In that case I'm looking for some automated and objective evaluation softwares. It can be open source or commercial. Any tech savvy? I believe in the era of machine learning there must be solutions out there.

Since we work mostly with genetic models, we usually genotype our mice after ear punching them for further breeding purposes.

Recently our breeding has taken up qutie a bit resulting in a high number of samples and quite a bit of time "wasted" on something that doesn´t lead to "valuable" results but is, nonetheless, essential for following experiments and breeding.

Does any of you know of a way to facilitate and speed-up genotyping? Someting like a machine that performs the entire workflow?

Our current lysis-PCR for 4 different genes-gel loading-electrophoresis and imaging as well as annotation takes well over half a day to a day for 100 samples and is simply no longer efficient to perform.

Thank you in advance!

MOST human actions are subconscious. The more close-ended the task, the easier to automate. Perhaps SOME subconscious human acts are more close-ended, therefore easier to automate.

1)

2)

3)

Hello everyone, I am working on the elaboration of macroporous materials for bone reconstruction. I mainly characterized the porosity using SEM observation. For the moment I use ImageJ to analyze the porous structure (size, shape, orientation,…) but I haven’t found an efficient method to automate the image processing. I wonder if someone know an accurate automatic and efficient method or software than can make me save time ?

Thank you in advance,

When loading the DNA into the Mastermix on a 384-well plate, qPCR results determine that the pipetting is not consistent as the replicates are not tight (about 0.5 cq difference). How can I modify the settings on the epMotion liquid handling robot to have more consistent pipetting when adding the DNA into the mastermix?

Here, you are looking to compare AI-enabled systems with traditional, non-AI systems in terms of user experience. This could involve examining how AI systems can provide more intuitive and responsive interactions, offer personalized recommendations, and automate routine tasks to enhance overall user satisfaction. The goal is to gather insights on the specific advantages that AI brings to user experience.

I'm currently exploring the application of Python in textile engineering, specifically in areas like data analysis, process automation, and the development of smart textiles. I'm interested in understanding how Python has been utilized in this field, including any relevant projects, research, or case studies. If you have experience or knowledge in this area, I would greatly appreciate it if you could share your methodologies, tools, challenges, or any resources that could help guide my exploration. Insights into machine learning applications, textile simulations, or real-world automation examples would be particularly valuable.

I want to know the best methods to automate my job and live without working?

Do you know of a database that has classified chemical compounds (classified like plants)? Unfortunately, the websites introduced in the article "ClassyFire: automated chemical classification with a comprehensive, computable Taxonomy" they are out of reach

I want to completely automate my work in a 9 to 5 job with the help of AI.

How to make use of AI to replace me in my job?

I am Ruthra, and I have been working as a psychologist for the past 10 years. Now, I'm interested in conducting research and I would like to conduct a survey on mental health and wellbeing among the faculty and staff at my university. Additionally, I would like to send an automated report with some suggestions once they have completed the assessment.

Dead languages are potentially easier to automate because they are stagnant thus have both permanent vocabulary and grammar.

I need a copy of the research titled “An Efficient Automated Multi-Modal Cyberbullying Detection Using Decision Fusion Classifier on Social Media Platforms"

Dear colleague,

I need help with a GIS issue. The polygons have been separated by roads, leaving space between them (as shown in the attached figure). I'm looking for an automated solution in ArcMap or QGIS to make the polygons meet halfway, in the middle of the space (roads) between them.

I'm open to any suggestions.

Thank you!

I am working on a project that involves analyzing remote sensing (RS) images. I need to convert these images into vector data for further analysis. I am looking for automated methods or software tools that can assist with this conversion. Can anyone recommend techniques or tools that are effective for this purpose?

I want to automate a photo-resistor & gauge observation for an outdoor experimental apparatus. I suggest that the data from the photo-resistor (expressed in volts, or ohms) can be outputted to a digital multimeter, while the pressure can be displayed on a basic digital gauge. But, I haven't discovered ways of how to record that data periodically. I hope the methods / devices used are simple, and affordable. Nevertheless, i'm open for any input.

Cheers

Hi Everyone,

I hope this message finds you well. My name is Gogulakrishnan, and I am a Network security professional with extensive experience in the security domain at Cisco Systems Inc. I am passionate about advancing knowledge and practices in network security , cybersecurity, and I am eager to contribute to scholarly work in this field.

I am particularly interested in joining forces with other experts to contribute to a Network security or cybersecurity journal. If anyone is currently working on or planning to initiate a journal focused on these topics, I would love to collaborate and share my expertise.

My areas of interest include, but are not limited to:

I believe that by working together, we can produce valuable insights and research that can significantly impact the field of security domain. If you are interested in collaborating or know of any opportunities, please feel free to reach out.

Looking forward to connecting with like-minded professionals and contributing to meaningful work.

Best regards, Gogulakrishnan Thiyagarajan https://www.linkedin.com/in/gogskrish/ 512-920-7209

I am exploring the potential of AI to transform the teaching of linguistics, specifically for English as a Foreign Language (EFL) students. I am interested in understanding how AI can analyze large amounts of linguistic data and identify patterns or trends beneficial in a pedagogical context. Additionally, I would like to know how AI can assist in personalized learning, automated assessment, and providing interactive exercises. Insights on this area's successful implementations, challenges, and prospects would be highly appreciated.

Hi All,

This may sound like a stupid question, but I have a yeast transformation protocol that I am trying to modify for automation. Unfortunately, our automated equipment is not under any sort of closed environment but is open to the lab. Has anyone been able to get away with doing a yeast transformation out in the open without using a biosafety hood? I typically use tetracycline during the final transformation so I have avoided contamination so far from bacteria, but I still keep my transformed samples under the hood of course mainly with fears of mold contamination which we have encountered in the past. Does anyone think that it would pose a problem to attempt a full transformation using automation outside the hood? what things might I need to consider before I attempt it?

Thanks in advance.

I research group theory, finite groups. And i need to automate cayley graphs generation.

Does exist an open source tool to generate cayley graphs for custom finite groups ?

How to generate SVG images like this ?

Dear academic community,

I would like to invite you to participate in a survey that focuses on artificial intelligence, technostress, and their impact on productivity. Artificial intelligence (AI) is a field of technology that focuses on simulating human intelligence and automating tasks. AI can have a significant impact on academic productivity in a number of ways, such as automating tasks, helping with data analysis, and providing personalized learning experiences. However, AI can also lead to technostress among academic workers. Technostress is an emotional state that is caused by the use of technology and is characterized by feelings of stress, anxiety, and frustration. Technostress can be caused by a number of factors, such as overload, technological problems, and uncertainty about how to use technology.

Technostress can have a negative impact on academic productivity. Those who experience technostress may be less productive, more likely to make mistakes, and more likely to feel burned out. Technostress can also have a negative impact on the learning experience. Those who experience technostress are less likely to be interested in learning, less likely to participate actively in class, and more likely to feel overwhelmed.

It is important to research the relationship between AI, technostress, and academic productivity in order to understand how to use AI safely and effectively in the academic environment.

The survey is anonymous and voluntary; we will analyze the responses once the survey is concluded. Contact:  E- mail adress:  simon.alzbeta.research@gmail.com

Note: If you have any insights or suggestions regarding the topic, please don't hesitate to contact me via e-mail. After the research is concluded, we would be pleased to send you a summary of the study.

Best regards, 

Author: PhDr. Alžbeta Simon Department of Management,  J. Selye University, Slovakia

I am writing articles on Electrical and Protection Automation, IoT and Artificial Intelligence, I am looking like minded people who can be a co-author with me.

Thanks and Regards,

Madhu

I am researching the topic of AI transformation in Education and other organization. If you have like 15 to 20 min to have an interview, book your time slot on:

Interview Questions will be mainly on:

Since the release of an intelligent chatbot built on the ChatGPT language model on the Internet in November 2021, the scale of ongoing discussions on the topic of the impact of the development of artificial intelligence technology on labor markets has increased again. Each successive technological revolution has largely generated changes in labor markets. The increase in the scale of automation of manufacturing processes carried out as part of business operations was motivated by the reduction of operational personnel costs resulting from hired personnel. Automation of manufacturing processes, including processes of production and offering services, may also have reduced the level of personnel operational risk. As a result, companies, firms and, in recent years, financial institutions and public entities, through the implementation of ICT, Internet and Industry 4.0/5.0 technologies in various business processes, are improving the efficiency of business processes and increasing the economic profitability of these processes. In each of the previous four technological revolutions, in spite of changing technical solutions and emerging new technologies, analogous processes of using these new technological advances to increase the scale of automation of economic processes worked. In the era of the current fourth or fifth technological revolution, in which a special role is played by the development of generative artificial intelligence technology, applications of this technology in the development of robotics, building autonomous robots, increasing the scale of cooperation between humans and highly intelligent androids is also making a new appearance and another stage of increasing the scale of automation of manufacturing processes. However, what from the point of view of entrepreneurs thanks to the applied new technologies, the achieved automation of production processes is an increase in the efficiency of manufacturing processes, increasing the scale of economic profitability, etc., is, on the other hand, generating serious effects on labor markets, including, among other things, a reduction in employment in certain jobs. The largest scale of applied automation of economic processes and, at the same time, the largest scale of employment reduction was and is generated for those jobs that are characterized by a high level of repetition of certain activities. The activities carried out by employees that are characterized by a high level of repetitiveness were usually the first ones that could be and have been replaced by technology in a relatively simple way. this is also the case today in the era of the fifth technological revolution, in which highly advanced intelligent information systems and autonomous androids equipped with generative artificial intelligence technologies contribute to the reduction of employment in companies and enterprises where humans are replaced by such technology. A particular manifestation of these trends are the group layoffs announced starting in 2022 of employees, including IT specialists in technology companies that the aforementioned advanced technologies of Industry 4.0/5.0 are also creating, developing and implementing into their economic processes carried out in the aforementioned technology companies. Recently, there have been a lot of different kinds of predictive analysis results in the media suggesting which occupations and professions previously performed by people are most at risk of increasing unemployment in the future due to the development of business applications of generative artificial intelligence technologies. In the first months of ChatGPT's release, the Internet was dominated by a number of publications suggesting that a significant portion of jobs in many industries will be replaced by AI technology over the next few decades. Then, after another few months of the development of applications of intelligent chatbots, but also the revelation of many controversies and risks associated with it such as the development of cybercrime and disinformation on the Internet, this dominant opinion began to change in the direction of slightly less pessimistic. these less pessimistic opinions suggest that the technology of generative artificial intelligence does not necessarily deprive the majority of employees in companies and enterprises of their jobs only the majority of employees will be forced to use these new tools, applications, information systems equipped with AI technology as part of their work. Besides, the scale of the impact of new technologies on labor markets will probably not be the same across industries and sectors of the economy.

I described the key issues of opportunities and threats to the development of artificial intelligence technology in my article below:

In view of the above, I address the following question to the esteemed community of scientists and researchers:

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,

Dariusz Prokopowicz

I ask this question from the perspective that AI algorithms can automate tasks, analyze vast amounts of data, and suggest new research avenues. It can also improve research efficiency and speed up scientific progress, in addition to analysing massive datasets, it could identify patterns, and accelerate scientific discovery. These no doubt are advantageous benefits, but AI algorithms can also inherit biases from the data they're trained on, leading to discriminatory or misleading results, which directly affect research in terms of the quality of output. Additionally, the "black box" nature of some AI systems makes it difficult to understand how they reach conclusions, raising concerns about transparency and accountability.

This question explores how new technologies and automation are changing the way laboratories handle specimens in diagnostic microbiology. It asks how these innovations make processes faster and more accurate, ultimately improving patient care.

Greetings! We invite you to participate in an academic research endeavor focused on Digital Marketing Automation (DMA). In today's rapidly evolving digital landscape, the integration of automation tools within marketing strategies has become increasingly prevalent. To gain comprehensive insights into this phenomenon, we are conducting a survey to explore various facets of Digital Marketing Automation.

Your valuable input is crucial to our research efforts. The questionnaire has been meticulously crafted to delve into several key aspects of DMA, ranging from its implementation challenges to its impact on business performance. We are particularly interested in gathering diverse perspectives from professionals, academics, and enthusiasts who are actively engaged with digital marketing practices.

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To participate in the survey, please click https://forms.office.com/r/2k3v715uX5 or copy and paste the following URL into your browser:

We encourage you to share your experiences, insights, and opinions to enrich the scope of our study. By participating in this survey, you will not only contribute to academic discourse but also gain deeper insights into the evolving landscape of digital marketing.

Thank you for your invaluable participation in this research endeavor.

Sincerely,

Respected Research Gate Community,

Greetings! We invite you to participate in an academic research endeavor focused on Digital Marketing Automation (DMA). In today's rapidly evolving digital landscape, the integration of automation tools within marketing strategies has become increasingly prevalent. To gain comprehensive insights into this phenomenon, we are conducting a survey to explore various facets of Digital Marketing Automation.

Your valuable input is crucial to our research efforts. The questionnaire has been meticulously crafted to delve into several key aspects of DMA, ranging from its implementation challenges to its impact on business performance. We are particularly interested in gathering diverse perspectives from professionals, academics, and enthusiasts who are actively engaged with digital marketing practices.

Rest assured, the anonymity of respondents is paramount, and all data collected will be utilized exclusively for research purposes. Your candid responses will contribute significantly to advancing our understanding of Digital Marketing Automation and its implications for contemporary marketing strategies.

To participate in the survey, please click https://forms.office.com/r/2k3v715uX5 or copy and paste the following URL into your browser:

https://forms.office.com/r/2k3v715uX5.

We encourage you to share your experiences, insights, and opinions to enrich the scope of our study. By participating in this survey, you will not only contribute to academic discourse but also gain deeper insights into the evolving landscape of digital marketing.

Thank you for your invaluable participation in this research endeavor.

Sincerely,

Md Mehedi Hasan Emon

According to the journal article I've posted, the Sysmex DI-60 can detect the different morphologies of the RBCs. I want to find out if the Sysmex DI-60 can detect not only the morphology of the RBCs, but it can also detect parasites, bacteria and viruses in the RBCs.

Based on the journal report on Sysmex DI-60, what are the other hematological analyzers that are more precise on RBC and WBC differentiation? given the fact that the Sysmex DI-60 has an acceptable accuracy in detecting RBC and WBC morphologies, are there any other ways that has an increased sensitivity and specificity in testing and analyzing RBC and WBC?