Autonomics - Science topic

This question examines the role of advanced lighting systems in reducing accidents caused by poor visibility, emphasizing the need for innovative solutions that enhance road safety for both drivers and pedestrians

For autonomous driving, do imitation learning and reinforcement learning have the same number of corner cases?

As the AI acquires this purpose by being ever broader objectives by humans it will act increasingly more autonomously, initially at the task level, figuring out for itself how best to achieve a task it has been given, broadening out to more strategic things like planning the next year’s production strategy for a factory, to planning the economy of a nation. At every stage in loose terms the AI will still be following an instruction given by a human, but the scope of the AI’s discretion in carrying out that instruction will expand as time goes on. Furthermore AIs will be giving instructions to other AIs, so what they do will come ever more distant from the original underlying human instruction, which could be something as vague as make sure that we have sufficient food supplies for the population in the coming year.

However, in the fullness of time the scope of the AI’s responsibility would become so broad as to surpass the understanding of the humans that it is looking after. In this situation it would sometimes have to take actions that would be in the best interests of the humans concerned, but often things that the humans themselves don’t like. It would be like parents taking their young children to the dentist or a livestock farmer subjecting their animals to all kinds of indignities for the sake of their health.

The next question that arises is, how do we get from there being many isolated AI systems to there being a single integrated planet-wide AI.

To understand this we need to get away from the biological concept of AIs being individuals. AIs are not like biological beings that exist as specific individuals. There is no reason or advantage for AI to sub-divide itself into many individuals, rather initially isolated AIs will tend to integrate themselves spontaneously. As we give AI for complex responsibilities it will have to make use of more and more AI sub-systems for specific purposes, thus integrating these sub-systems. It won’t take long for practically everything to be meshed together.

The artificial intelligence will have at its disposal all the accumulated knowledge accessible from the Internet and every device with an Internet connection, including all sensors, cameras, vehicles and robots. With these resources it will clearly vastly surpass human intelligence.

source: https://www.quora.com/Is-it-possible-for-machines-to-surpass-human-intelligence-in-the-future-with-the-advancements-in-artificial-intelligence-and-quantum-computing-Why-or-why-not

Quality of Medical Education, time of admission, start of academic session and timely examination after completion of minimum teaching hours recommedned by National Medical Commission are multiple facets regulating standards of medical education in any country of the world including India.

The Medical Council of India is replaced by the National Medical Commission which through its four Autonomous Boards regulating the quality of medical education in India. COVID-19 crisis has its impact on timely start of academic session and timely conduct of examination in all medical colleges of India, which was beyond the control of human being. But after the end of COVID-18 Crisis in 2021 we are now entering NEW YEAR 2025, still we are not able to recover from time schedule for admission and examination, on 20th December 2024, Hon'ble the Supreme Court of India allowed admissions of vacant seats in private medical colleges and extended last date for admission till 30th December 2024.

Is this right time for all those who are interested in improving the quality of medical education in India which is durectly related to Right to Life /Health as Fundamental Right under Article 21 of the Indian Constituion?

Need for debate on this important issue by all stakeholders

It is a challenging task and make take Years

Would it be possible to think that if there is a categorization regarding fundamental rights, the state should, in the same way, prioritize the budget, ensuring that the rights higher in the prioritization receive more resources? That is, why allow the state to allocate more resources to a policy that has to do with the disappearance of some autonomous organizations, regarding policies, infrastructure, projects that help minimize water waste, support the purchase of medicines? against cancer, among others. Wouldn't it be desirable to modify the way resources are allocated today?

🔒SCI: Call for Papers-Artificial Intelligence Algorithms and Applications

🔗SI URL: https://www.techscience.com/cmc/special_detail/AI_algorithms_applications

📅 Submission Deadline: 28 February 2025

🌟 Guest Editors:

Dr. Antonio Sarasa-Cabezuelo, Complutense University of Madrid, Madrid, 28040, Spain

🔍 Summary:

Artificial Intelligence (AI) has become a transformative force in technology, driving innovation across diverse sectors. AI algorithms, which form the backbone of intelligent systems, are increasingly applied in areas such as healthcare, robotics, and beyond. The continuous evolution of these algorithms has enabled more accurate predictions, efficient data processing, and the development of autonomous systems, making AI a critical research area. Understanding and advancing AI algorithms is essential for addressing complex real-world challenges, fostering technological growth, and enhancing human-machine collaboration.

This Special Issue aims to explore the latest advancements in AI algorithms and their wide-ranging applications. The focus is on cutting-edge research that contributes to the development, optimization, and practical deployment of AI algorithms. By gathering contributions from experts in the field, this issue seeks to highlight innovative approaches and emerging trends that can drive future developments in AI. The scope includes both theoretical explorations and real-world applications, providing a comprehensive view of the current state and potential of AI technologies.

Suggested Themes:

· Machine learning and deep learning algorithms

· AI in healthcare and medical diagnostics

· Robotics and autonomous systems

· Natural language processing and understanding

· AI-driven cybersecurity solutions

· Reinforcement learning and decision-making systems

· Computer vision and image recognition

· Explainable AI and transparency in algorithms

· AI for smart cities and urban planning

· Human-computer interaction and AI

· AI in supply chain management and logistics

· AI in entertainment and media content creation

· Evolutionary algorithms and optimization techniques

· AI for predictive maintenance and industrial automation

· AI in agriculture and food security

🎈Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Autonomous Systems, Natural Language Processing, Robotics, AI Applications

Autonomous Language Learning can be implemented from primary to tertiary education. Practioners and students report on its effectiveness, however, there appears to be little quantitative or qualitative research on the results and benefits of this approach.

Wikipedia on AI in Scientific Discovery: Artificial intelligence (AI) has shown significant potential in scientific discovery, helping to accelerate research processes and uncover new insights. AI systems, particularly those using machine learning and deep learning techniques, have been employed in various fields to analyze large datasets, identify patterns, and make predictions.However, the creation of an AI system that can autonomously develop new scientific theories is a significant challenge. Current AI systems generally require substantial human input and a predefined knowledge base to function effectively. They excel in data analysis, pattern recognition, and optimizing predefined models, but they do not yet possess the creativity and intuition often necessary for groundbreaking scientific innovation.According to Wikipedia, scientific discovery involves formulating new hypotheses, conducting experiments to test these hypotheses, and interpreting the results to contribute to scientific knowledge. While AI can assist in parts of this process, such as data analysis and hypothesis testing, the initial formulation of new scientific theories and the interpretation of complex experimental results often still require human intelligence and creativity.Thus, the development of a fully autonomous AI capable of pioneering entirely new scientific theories without any human guidance remains an open question and a frontier in the field of artificial intelligence research.

safety of autonomous self-driving vehicles.

Good day. please i need a step by step process on how to make an autonomous drone delivery system?

In some countries, such as Japan, there have already been mass-produced robots for years that act as domestic helpers mainly for the elderly. Perhaps in the not too distant future, mass-produced autonomously functioning, programmable robots, including highly intelligent androids equipped with generative artificial intelligence technology, will also be on sale in many other countries. Such robots can act as domestic help, child or elderly caregivers. With the rapidly advancing technological progress being realized in the field of robotics, artificial intelligence and other technologies typical of the current fourth technological revolution, Industry 4.0/5.0 technologies will soon be mass-produced humanoid, highly intelligent, highly autonomous robots performing various household and other jobs. Such robots equipped with generative artificial intelligence technology can have a number of alternative algorithms built in to perform specific functions of their choice and can be programmable. Thus, after purchasing a kind of helper robot for household and/or other work, the robot owner will be able to determine the scope and types of functions for which he will give the robot authorization to perform them. The programming of the purchased robot will consist of selecting from the available options of various functions only those that will correspond to specific activities and tasks possible for the robot to perform. Also, the level of autonomy within a certain possible range from to will be able to be defined by the robot owner as part of the programming. In addition to typical household chores, providing assistance around the house involving, for example, cleaning, watering flowers, feeding pets, walking pets, such robots can act as controllers analyzing the operation of various household appliances and systems, including smart home systems, heating, ventilation, lighting, air conditioning, etc. Besides, the robots can act as a night watchman in the situation of the owner's departure from home, can act as a bodyguard for home assets, and can call for help in an unusual situation when the owner needs urgent assistance from public services, including the police, security company, health service, etc. Such intelligent robots can also have a permanent connection to the Internet and, according to the owner's command, can quickly search for something on the Internet, print it out or send it to a smartphone belonging to the owner of a particular robot.

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 wishes,

Dariusz Prokopowicz

l'utilisation de ROS est il nécessaire dans toutes les voitures autonomes ou non ?

Warning somewhat of a pun: Being self-owned is often both literal and figurative because the autonomous often self deprecate.

..

What is autonomic intelligence?

How to assess autonomic intelligence?

...

Who can help me download papers such as "Design of an Autonomous Surface Craft for Oceanographic Survey" and "Innovative Application of IoT Devices to Improve the Management Efficiency of Water Search and Rescue"?

The development of artificial intelligence opens up many new problems. Some of them are the liability of designers and manufacturers for damage caused by AI, ownership of AI, involvement of AI in legal affairs, etc. Others are concerned that AI may gradually take over the role of executive and administrative power (police robots), judicial power (AI as a judge based on existing regulations and established practice), and even, albeit to a limited extent, legislator. The third concerns the use of AI for military purposes - autonomous automatic systems such as killer drones, autonomous submarines, etc.. The fourth is related to the possibility of using AI in the conquest and exploitation of space. The number of new questions seems endless. What is your opinion on all this and have you already published any works on any of these topics?

I have the conception which allows the development of artificial universal rational autonomous subjects (AURAS) and looking for partners in the development.

Preferred partner should have a team proficient in the development of humanoids.

With my participation we are will be able to develop an artificial autonomous subject in 3 years.

artificiallabor@artificiallabor.co

WhatsApp number is +1 917 816-4477

Michael Zeldich

The Metropolitan Autonomous University, Iztapalapa Unit, is seeking professionals with a doctorate degree 🎓 to compete for Full-Time Visiting Professor positions in the area of Chemical Engineering.

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How does robotics technology contribute to space exploration, such as planetary rovers, autonomous spacecraft, and satellite maintenance? What challenges arise in designing robots for extreme environments, and how do they extend our understanding of the cosmos while minimizing human risk?

This question explores the ethical and strategic implications of deploying AI in military operations, including concerns about autonomous weapons and the potential for loss of human control.

Automotive manufacturers are increasingly utilizing artificial intelligence (AI) and machine learning techniques to enhance vehicle autonomy, safety, and overall driving experience in modern advanced driver assistance systems (ADAS) and autonomous vehicles. These technologies are revolutionizing the automotive industry by enabling vehicles to perceive their surroundings, make informed decisions, and interact with the environment more effectively. Here's how AI and machine learning are being utilized:

As AI and machine learning continue to evolve, automotive manufacturers will leverage these technologies to make autonomous driving safer, more reliable, and accessible to a broader range of vehicles, leading to transformative advancements in the automotive industry.

I want to find a suitable deep learning-based stereo matching algorithm for binocular ranging for autonomous driving

I am starting my research in developing algorithms for localization problems in autonomous UAV systems. As I am new to UAVs, I am not sure where to start. Please suggest a guideline on which direction is most suitable for carrying out my research.

Thank you.

The journal Computer Systems Science and Engineering (CSSE. JCR Q1) published by Tech Science Press is running a new Special Issue entitled "Al and IoT Empowered Unmanned Autonomous Systems".

SI submission page: https://www.techscience.com/csse/special_detail/unmanned-autonomous-systems

Leading Guest Editor: Dr. Zain Anwar Ali

Guest Editors: Prof. Tarik A. Rashid, Prof. Muhammad Salman Pathan

The topics are as follows, but not limited to:

• Intelligent Control Algorithms

• Collision Avoidance and Tracking

• Environment Monitoring

• AI and IoT-based Fault diagnosis and tolerance,

• Adaptive Control Techniques for Unmanned Systems

• Internet of Robotic Things (IoRT)

The Journal of Autonomous Intelligence (ISSN: 2630-5046) is currently running a Special Issue entitled "Artificial Intelligence in Geographic Information Systems (AI GIS)". Dr. Sk Ajim Ali is serving as a Guest Editor for this issue. I think you could make an exceptional contribution based on your expertise in the particular field.

Review articles and original research papers and short communication are welcome. Topics of interests include, but are not limited to, the following:

· Geographic information systems and artificial intelligence

·   Forecasting the energy potential using AI GIS

·       Site suitability modeling by applying image processing and analysis algorithms (Geo-AI)

·       Role of AI GIS in assessing air quality and monitoring

·       AI in geospatial analysis

·       Geo-AI applications in health and healthcare

·       AI to improve the food and agriculture sector

·       AI GIS for Geohazards assessment and monitoring

·       AI GIS and climate change challenges

·       AI GIS application in road networks management and transport geography

·       Crime mapping using AI GIS

·       AI GIS for seismic model

·       AI GIS in sustainable development goals

We are looking forward to receiving your contributions.

Hello all,

I have a simulink model for an autonomous microgrid which has no input and no output and I I would like to get the system poles at a certain operating point using the control system design tool in MATLAB. However when I start this tool with linearization, it demands specifying system inputs and outputs (There are currently no linearization I/Os marked on the model) to get the A B C D matrices which is not applicable in my model... So, how could I employ this tool to get the system modes ?

Hi all,

In matlab, we are able to find many features in the control system design applications but it always requires specifying the system inputs and outputs to be able to generate its A, B, C, D matrices. However, for an autonomous microgrid, the system has no inputs and outputs which means we only have the A matrix only. How to get the A matrix ? and how could we avoid specifying those inputs/outputs while linearizing the model ?

I am working on the same topic in autonomous-territorial unit Gagauzia and I need to get facts from different regions with autonomous status.

The autonomic seizures (AS) are non recognized easly and it is not clear the origin area and usually without a ictal EEG positive. Someone has video Ictal EEG of AS?

The equation dx/dt = F(x) can be linearized using Calerman techniques and solved with linear state equation method. But for some condition I found a proper decomposition of F(x) relating to know logist solution od a foundamental canonical problem .

I made this autonomic receptor man for teaching purposes. I couldn't help using my Adobe Character animator avatar for the head.

Updated to a video now! https://youtu.be/qYuVhQeKUrM

Test test test. Test

How l can Compute equilibrium point for first order non linear delay equation with variable coefficients

Hello,

I have this experimental group, I gave them a questionnaire with 15 items about motivation with two subscales (10 about autonomous motivation, 5 controlled motivation) as a pretest and posttest before and after the treatment. Apart from reporting the overall results, can I also compare the subscales, ie, pretest autonomous motivation with posttest autonomous motivation?

Thanks a lot in advance for taking time for this.

I am looking for a keyword in order to model AICVs (Autonomous Inflow Control Valves) in Eclipse reservoir simulator. For instance, as the keywords "WSEGAICD" and "WSEGSICD" are used to model AICDs and spiral ICDs, respectively.

Most car-following models were developed on the basis of some theory, observational studies, or a combination of the two. Many researchers have also used machine-learning algorithms such as neural networks and deep-learning for modeling car-following behavior. But machine-learning approaches are sometimes criticized because they are black-box models.

Would you use a neural network / deep-learning car-following model in simulations for investigating crash behavior/emissions / autonomous/connected or general car-following behavior? Please share your opinion. Thanks.

Whats Do you know about Decentralized Autonomous Organizations (DAOs)?

I developed a small-signal model of a grid forming microgrid using this reference

With the same parameters, however, I didn't get the same eigenvalues, (small displacement)I checked the state-space matrices lot of times but couldn't figure out the mistake. The obtained results are attached.

Could anyone help or suggest a solution?

Question-4: How mature are our computing platforms and programming languages for enabling autonomous software generation mostly at run-time?

I have placed IMU MPU2950 on an AMR (Autonomous Mobile Robot) with a metallic body. Even though I am using Madgewick Filter to smooth out the data, it is not enough and confuses the localization algorithm in the AMR. Is there any way to dampen the vibrations with physical additions?

If we assume that Tesla's resources are dedicated to developing deep reinforcement learning-based autonomous driving cars, would they be able to achieve full self-driving?

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

- https://ieeexplore.ieee.org/document/9036152

- https://www.researchgate.net/publication/353515227_no1s1_-_a_blockchain-based_DAO_prototype_for_autonomous_space

2. Would the AI be a platform, a DAO member, manager of the DAO or have some other role?

BEST ANSWERS

Arez Wazwaz

- https://www.researchgate.net/publication/353515227_no1s1_-_a_blockchain-based_DAO_prototype_for_autonomous_space

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.

I want to know that what is the difference between sensor data fusion and sensor data stitching. For example, we have two homogeneous sensor of two autonomous driving systems ( lets say it is "camera sensor") . So I want to combine the camera sensor data for better accuracy and better precision. But I am confuse to use the term "Stitching" and "fusion".

Which term is more suitable?

What are the key differences between these two terms in autonomous driving systems domain ?

AD Instrument cab be used to measure autonomic functions.

Sensors have played a significant role in intelligent robots and autonomous driving. While lidars and cameras have become dominant in the field, the advancements of other sensors have also promoted its developments.

MMWR is becoming promising. Its 4D imaging technology is becoming more and more mature. Even though I am not familiar with this kind of sensor and have no experience with it, as a person working in robotic and autonomous systems, I am interested in it. I hope this message can reach someone who knows about it.

Questions are:

1. How about the role of 4D MMWR in robots and autonomous vehicles, especially compared with lidar and cameras? or even replace them as primary sensors?

2. Is 4D MMWR robust enough for L3 or above-level autonomous driving?

3. Are there any other fields that 4D MMWR will be applied more often or promising?

Are there any available datasets of autonomous vehicles trajectories with GPS and date times specifications? if not, how would one adapt existing datasets, which are obtained from normal vehicles, to autonomous ones if possible?

I and my team would to improve a system with 3 sensors HC-SR04 to detection the obstacles for an autonomous agriculture truck. We use Arduino to implement this.

The question is: With only sensors HC-SR04 is possibile to detect the velocity and the size measurement of the object?

I am looking anew into the area of what used to be called "scalable autonomy." I worked in this space briefly around 2014. Now, though, I haven't been able to find much associated with the terms "scalable autonomy."

I am wondering how researcher are now referring to the scaling of autonomous support from AI to a human user based on things like human-cognitive workload (AI's engagement increases as human's cognitive workload becomes saturated) or impact of contribution (AI engages when its capability is most relevant to the problem at hand such as a navigation system engaging when a new destination is desired). Any recommended references would be greatly appreciated. Thanks in advance!

Autonomous motivation is the highest level of motivational continuity in Self-Determination Theory, which refers to people doing something for their own interests, for the sake of attaining enjoyment completely in activities (Ryan & Deci, 2017). so can can say the constructs of ’autonomous motivation‘ and ’interest‘ are the same?

What is the boundary between the tasks that need human interventions and the tasks that can be fully autonomous in the domain of civil and environmental engineering? What are ways of establishing a human-machine interface that combines the best parts of human intelligence and machine intelligence in different civil and environmental engineering problem-solving processes? Any tasks that can never be autonomous and need civil and environmental engineers? Coordinating international infrastructure projects? Operating future cities with many interactions between building facilities? We would love to learn from you about your existing work and thoughts in this broad area and hope we can build the future of humans and civil & environmental engineering together.

Please see this link for an article that serves as a starting point for this discussion initiated by an ASCE task force:

Hi

I'm going to write a review article on the use of decentralized autonomous organizations(DAO). Can any of my friends help me with this?

thank you

In the last decade, Western military interventions have changed. States like the UK, the U.S., and France intervene abroad “by, with and through” local and regional partners. Instead of deploying a large number of their own forces, they work with international partners to build local and regional capacity to address shared threats. Even in areas where Western states do deploy large numbers of their own troops – such as France in the Sahel – the emphasis remains on building international coalitions to work with local forces. There is an assumption that such an approach will improve the legitimacy of the intervention and, by building local capacity to address the threat more autonomously in the future, “play a role in regional and global stability.”[i] However, the success of these operations is poorly and inconsistently measures and, as such, there is little evidence on whether these engagements are actually achieving these objectives.

I have spent 6 years professionally researching these issues and have found two important and interrelated problems:

1. Current evaluation efforts are inconsistent (between departments and countries), short-term, and fail to engage with the right people (e.g. questionnaires are often directed at partner forces rather than local populations).

2. The fragmented nature of international engagement in many parts of the world means that, even where there are exceptional good national efforts, they tend to be lost in the ineffectiveness of broader international engagement.

Why do these problems remain? And, how can they be addressed?

I have written paper on Autonomous Management to improve productivity, a case of Parason group of industries. kindly suggest journals.

Will the development of autonomous cars be correlated with the development of electric cars?

Will these technologies be developed in parallel?

In the future, will a significant part of autonomous cars also be electric cars?

Please reply

I invite you to the discussion

Thank you very much

Best wishes

I am working on an autonomous driving domain and my field poses multiple autonomous vehicle collision avoidances. I want to try to solve it using RL. In this case, the following statements regarding the RL method are correct or any thins complicated with the fundamentals of RL. Please explain to me.

"Through Learning Control, control knowledge of a control function can be created through the training by Reinforcement Learning. However, the conventional Reinforcement Learning method does not provide the application of more than one control function within a Learning Control System. Execution of more control functions within a Learning Control System would require the application of multiple learning processes within a control system. Methods concerning the application of learning processes in Learning Control vary depending on the application of the control device and the purpose of the system."

Anybody aware of studies, preferably qualitative sociological research, that draw on Archers "ideal types" of modes of reflexivity (autonomous reflexives, communicative reflexives, etc.) besides Archer's own writing? I'm especially interested in agency in the face of hard choices.

I wish to examine the impact of the shift to distance instruction on Saudi EFL college students' autonomous learning. Is it a sound methodology to compare the results of a current survey with results of studies conducted before the shift to distance instruction (before the pandemic), noting that participants in the old studies are also college students but from other Saudi regions? If the means of autonomous learning of students in the present study are higher than those in the old studies, can the improvement be attributed to the shift to distance instruction>

I refer for example to this new article by Hein and Woodgate:

Dear Researchers,

I am pursuing my masters in Mechatronics (Germany) and currently working as a system validation intern. I am looking for some advice/guidance on possible topics in the field of autonomous driving. I am open to any sub-field but my current experience is in system validation of ADAS/ Autonomous Driving mostly in a Software-in-Loop environment. There is currently not a industry accepted standard for validation of ADAS/AD features so something along these lines would be greatly appreciated

Thanks in advance!

hi, now I am researching about these things, this is my first time to ask question at this site. I need various opinions who is expert about this topic. Please help me !!

How do you think the social environment will change in the near future when full-autonomous driving becomes the norm?

1. Future trends in the automobile market

2. Trends in technology announcements including automobiles

3.Changes in the living environment of general consumers

*English, Chinese OK:)

Many of us have already taken part in a heated debate on whether autonomous driving will  be pervasive in the near future. Putting legal and other dimensions aside, I was (and still am) skeptical about the technical plausibility of autonomous driving. Because driving in reality is a more complicated endeavor than a historical extract of traffic situations on which autonomous driving is based. The question is not about whether autonomous driving works or not, it is about the complex (mixed human/machine) environment in which it operates -- that is made worse by unpredictable human behavior. If autonomous driving car would be deployed in an environment where no human actor is involved, it could perform its task perfectly. But in a mixed environment, I don't think it will be the case and direct conversion be a feasible.

What do you think are the major challenges that hinder autonomous driving from taking off?

Mains functions are emotion, behavior, long-term memory.The limbic system operates by influencing the endocrine system and the autonomic nervous system.Usually affect depressed . I want to reflect on US elections, Capital rival, as other national problems. Because Im aware of reppetions behaviour from thought that create need for emotional stimuli. Should we all first analyse our political( emotional cognitions) before voting? Whats your thoughts on Epigenetics?

Hello

How I can explore my research in this topic. Any suggestions that will be really helpful.

Hi

I am looking for datasets that contains the all potential failure of a component. For example in autonomous vehicular domain, If want to see the failure causes of "Camera Sensor", the datasets should contain all possible list of failure cause (Power Outage, Short-circuit, or bad weather condition (reduced perception due to dense fog may be)) of "Camera Sensor"

Thank you

Do you think that artificial intelligence will be implemented in the control systems of driving and orientation in the field in autonomous cars?

What are the effects of artificial intelligence implemented in the field of driving control systems and orientation in the field of autonomous cars?

Will autonomous cars be safe?

Will autonomous cars be mostly electric cars at the same time?

Please, answer, comments.

I invite you to the discussion.

Best wishes

Artificial intelligence will find application in many fields of services and industries. Currently, among scientists studying AI, the dominating opinion is that the development of artificial intelligence and robotics should not get out of control of humanity. The mentioned escape from the control of the development of artificial intelligence and robotics is understood as gaining independence and independence of the human being - the creator by intelligent machines, robots, equipped with artificial intelligence, able to autonomously and autonomously operate without human control.

In many novels and films of the science fiction genre, these types of black technological development scenarios are presented, in which robots are able to repair themselves, replicate themselves, produce further autonomous robots and rebel against a man, and declare war on a man. The most famous science fiction idea in this topic is "Terminator", "2001 Space Odyssey", etc. In my opinion, this type of science fiction visions will not materialize.

In my opinion, it is still too early to answer this question. In addition, it is not certain whether the humanity will survive until the end of the 21st century in connection with the progressing global warming, so perhaps there will simply be no time for such a far-reaching continuation of technological advances in the field of artificial intelligence and robotics.

Do you agree with me on the above matter?

In the context of the above issues, the following question is valid:

Can the development of artificial intelligence and robotics escape the human control?

Please reply

Best wishes

Autonomous System modelling

It is clear that some changes will occur in our lifestyle after the COVID-19 epidemic process. In this sense, there will be some changes in our transportation behavior and preferences. Considering the development of autonomous individual vehicles and public transportation vehicles, what kind of paradigm changes might be in the future, especially in terms of environmental and economic sustainability. Like the increase of individual autonomous vehicles or the use of autonomous public transportation vehicles of different sizes and features? In this case, can changes such as regulation of personal transportation tax in terms of environmental impact positively affect demand management? I am curious about your opinions on this matter.

I'm reviewing a lot of papers where the authors take a 3-D autonomous chaotic system (think Lorenz) and add a fourth variable bidirectionally coupled to the other three and then report its unusual properties which typically include lines of equilibria, initial conditions behaving like bifurcation parameters, and sometimes hyperchaos. Usually these systems have two identical Lyapunov exponents (often two zeros) and a Kaplan-Yorke dimension ~1.0 greater than the dimension determined by other methods. Thus it seems clear that the system has a constant of the motion such that it is actually 3-dimensional with an extraneous variable nonlinearly dependent on the other three. Are there algebraic or numerical methods for demonstrating this by finding a constant of the motion?