Generative Artificial Intelligence: Trends and Prospects
A research paper published in IEEE Computer magazine in October 2022, exploring the challenges and opportunities of generative artificial intelligence. The paper discusses the applications, limitations, and ethical implications of generative models and their impact on society.
Heterogeneous Integration Technologies for Artificial Intelligence
The rapid advancement of artificial intelligence (AI) has been enabled by semiconductor-based electronics. However, the conventional methods of transistor scaling are not enough to meet the exponential demand for computing power driven by AI. This has led to a technological shift toward system-level scaling approaches, such as heterogeneous integration (HI). HI is becoming increasingly ...
Artificial Intelligence in the 21st Century
The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by both theories and techniques. However, the multidisciplinary and fast-growing features make AI a field in which it is difficult to be well understood. In this ...
Autonomous Vehicles: Evolution of Artificial Intelligence and Learning
This paper explores the evolution of AI and learning algorithms in autonomous vehicles, tracing the journey from foundational principles to the most recent advancements. It covers the role of AI in shaping the autonomous decision-making capabilities, the ethical considerations and bias in AI-driven software development, the statistical insights into the usage and types of AI/learning ...
Artificial Intelligence for Satellite Communication and Non-Terrestrial
This paper reviews the applications and developments of artificial intelligence (AI) in satellite communication and non-terrestrial networks (NTN), such as machine learning, deep learning, and neural networks. It covers various use cases, challenges, tools, hardware, and research directions for AI in SatCom and NTN.
IEEE Transactions on Artificial Intelligence
A multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Learn about the scope, impact, submission guidelines, and sponsors of the journal from the IEEE Computational Intelligence Society.
PDF Artificial Intelligence
Artificial Intelligence Approved by the IEEE Board of Directors (24 June 2019) Artificial Intelligence (AI) has been defined in many ways. ... "Artificial Intelligence Research, Development and Regulation," February 10, 2017, ... Paper.pdf. Google's chief executive officer defined AI as "computer programming that learns
artificial intelligence Archives
This paper introduces a method to predict inference and transmission latencies for multi-threaded distributed DNN deployments, and defines an optimization process to maximize the inference throughput. ... Artificial intelligence is a field of study and the resulting innovations and developments that have culminated in computers, machines, and ...
PDF Artiöcial Intelligence and Machine Learning
Artificial Intelligence and Machine Learning (AI/ML) working group (WG). It describes a high-level perspective and projection of the AI/ML technology areas for 5G and future networks. The team has reviewed the research papers and forecasts in this 2021 Edition of the IEEE INGR roadmap. The scope and stakeholders are summarized.
An Overview of Artificial Intelligence Applications for Power
This article reviews the artificial intelligence (AI) applications for power electronic systems in the design, control, and maintenance phases. It covers four categories of AI methods, such as expert system, fuzzy logic, metaheuristic method, and machine learning, and provides an Excel file of relevant publications.
AI News & Articles
IEEE Spectrum covers the latest developments in machine learning, embedded intelligent systems, and medical AI. Read about hybrid memory, patent automation, AI audit, chatbots, and more.
(Pdf) Ieee Access Special Section Editorial: Artificial Intelligence
In each of the four tracks, three standards-based networks are examined to show the effect of swarm intelligence on these networks which are IEEE 802.11, IEEE 802.16, and IEEE 802.20.
PDF Artificial Intelligence and Machine Learning Applied to ...
Artificial Intelligence and Machine Learning Applied to Cybersecurity The result of an intensive three-day IEEE Confluence 6-8 October 2017 To download a copy of the paper and to provide your comments/feedback, please visit: ... Research Projects Agency (DARPA) 2016 Cyber Grand Challenge. While the technology was intended to help
PDF Artificial Intelligence Research, Development and Regulation
This statement was developed by the IEEE-USA Ad Hoc Committee on Artificial Intelligence Policy, and represents the considered judgment of a group of U.S. IEEE members with expertise in the subject field. IEEE-USA advances the public good and promotes the careers and public policy interests of the nearly 200,000 engineering, computing and allied
Machine Learning: Algorithms, Real-World Applications and Research
A comprehensive review of machine learning techniques and their applications in various domains, such as cybersecurity, smart cities, healthcare, and more. Learn the principles, challenges, and potential research directions of different types of machine learning algorithms, such as supervised, unsupervised, semi-supervised, and reinforcement learning.
(PDF) Malware Detection and Prevention using Artificial Intelligence
The comprehension of this synthesis shall help researchers for further research on malware detection and prevention using AI. Discover the world's research 25+ million members
Natural Language Processing and Its Applications in ...
This paper reviews the history and progress of natural language processing (NLP) and its applications in machine translation (MT), and discusses the challenges and trends in the field. It also analyzes the relationship between MT and human translation in the age of artificial intelligence.
PDF Artificial Intelligence and the Future of Teaching and Learning (PDF)
This report explores the potential and challenges of artificial intelligence (AI) in education, and offers insights and recommendations for policies and practices. It covers topics such as human-like reasoning, intelligence augmentation, adaptivity, ethics, equity, and transparency.
Generative artificial intelligence, patient safety and healthcare
The capabilities of artificial intelligence (AI) have accelerated over the past year, and they are beginning to impact healthcare in a significant way. Could this new technology help address issues that have been difficult and recalcitrant problems for quality and safety for decades? While we are early in the journey, it is clear that we are in the midst of a fundamental shift in AI capabilities.
(PDF) Using Artificial Intelligence in Digital Video Production: A
Artificial intelligence technologies discussed in the studies on the use of artificial intelligence in digital video production are presented in Table 4. When Table 4 is examined, it is seen that ...
Data Science and Artificial Intelligence
The articles in this special section are dedicated to the application of artificial intelligence AI), machine learning (ML), and data analytics to address different problems of communication systems, presenting new trends, approaches, methods, frameworks, systems for efficiently managing and optimizing networks related operations. Even though AI/ML is considered a key technology for next ...
Use of artificial intelligence in banknote reconstruction
INTRODUCTION Utilizing artificial intelligence (AI) to solve puzzle games is a critical research direction because of its practical application value. Two-dimensional puzzles cover a wide range of applications, and AI tools have been increasingly used to solve puzzles in fields such as finance, multimedia, forensic science, and medicine.
Artificial Intelligence and Applications
Artificial intelligence (AI) has been employed since the 1950s in a number of industries, including manufacturing, logistics, finance, and healthcare. AI is being utilised more and more to automate operations that formerly required human intervention as a result of recent developments in machine learning (ML). AI can be used to automate decision-making procedures and increase the precision of ...
Catch-up with the US or prosper below the tech frontier? An EU
Biglaiser G., J. Crémer and A Mantovani (2024) 'The Economics of the Cloud', Working Paper 1520, Toulouse School of Economics Brynjolfsson, E., D. Rock and C. Syverson (2020) 'The productivity J-curve: how intangibles complement general purpose technologies', Working Paper 25148, National Bureau of Economic Research Cottier, B., R. Rahman, L. Fattorini, N. Maslej and D. Owen (2024 ...
Artificial intelligence, machine learning and deep learning
It is increasingly recognized that artificial intelligence has been touted as a new mobile. Because of the high volume of data that being generated by devices, sensors and social media users, the machine can learn to distinguish the pattern and makes a reasonably good prediction. This article will explore the use of machine learning and its methodologies. Furthermore, the field of deep ...
IEEE Xplore
IEEE Xplore is a digital library providing access to technical literature in electrical engineering, computer science, and electronics.
COMMENTS
A research paper published in IEEE Computer magazine in October 2022, exploring the challenges and opportunities of generative artificial intelligence. The paper discusses the applications, limitations, and ethical implications of generative models and their impact on society.
The rapid advancement of artificial intelligence (AI) has been enabled by semiconductor-based electronics. However, the conventional methods of transistor scaling are not enough to meet the exponential demand for computing power driven by AI. This has led to a technological shift toward system-level scaling approaches, such as heterogeneous integration (HI). HI is becoming increasingly ...
The field of artificial intelligence (AI) has shown an upward trend of growth in the 21st century (from 2000 to 2015). The evolution in AI has advanced the development of human society in our own time, with dramatic revolutions shaped by both theories and techniques. However, the multidisciplinary and fast-growing features make AI a field in which it is difficult to be well understood. In this ...
This paper explores the evolution of AI and learning algorithms in autonomous vehicles, tracing the journey from foundational principles to the most recent advancements. It covers the role of AI in shaping the autonomous decision-making capabilities, the ethical considerations and bias in AI-driven software development, the statistical insights into the usage and types of AI/learning ...
This paper reviews the applications and developments of artificial intelligence (AI) in satellite communication and non-terrestrial networks (NTN), such as machine learning, deep learning, and neural networks. It covers various use cases, challenges, tools, hardware, and research directions for AI in SatCom and NTN.
A multidisciplinary journal publishing papers on theories and methodologies of Artificial Intelligence. Learn about the scope, impact, submission guidelines, and sponsors of the journal from the IEEE Computational Intelligence Society.
Artificial Intelligence Approved by the IEEE Board of Directors (24 June 2019) Artificial Intelligence (AI) has been defined in many ways. ... "Artificial Intelligence Research, Development and Regulation," February 10, 2017, ... Paper.pdf. Google's chief executive officer defined AI as "computer programming that learns
This paper introduces a method to predict inference and transmission latencies for multi-threaded distributed DNN deployments, and defines an optimization process to maximize the inference throughput. ... Artificial intelligence is a field of study and the resulting innovations and developments that have culminated in computers, machines, and ...
Artificial Intelligence and Machine Learning (AI/ML) working group (WG). It describes a high-level perspective and projection of the AI/ML technology areas for 5G and future networks. The team has reviewed the research papers and forecasts in this 2021 Edition of the IEEE INGR roadmap. The scope and stakeholders are summarized.
This article reviews the artificial intelligence (AI) applications for power electronic systems in the design, control, and maintenance phases. It covers four categories of AI methods, such as expert system, fuzzy logic, metaheuristic method, and machine learning, and provides an Excel file of relevant publications.
IEEE Spectrum covers the latest developments in machine learning, embedded intelligent systems, and medical AI. Read about hybrid memory, patent automation, AI audit, chatbots, and more.
In each of the four tracks, three standards-based networks are examined to show the effect of swarm intelligence on these networks which are IEEE 802.11, IEEE 802.16, and IEEE 802.20.
Artificial Intelligence and Machine Learning Applied to Cybersecurity The result of an intensive three-day IEEE Confluence 6-8 October 2017 To download a copy of the paper and to provide your comments/feedback, please visit: ... Research Projects Agency (DARPA) 2016 Cyber Grand Challenge. While the technology was intended to help
This statement was developed by the IEEE-USA Ad Hoc Committee on Artificial Intelligence Policy, and represents the considered judgment of a group of U.S. IEEE members with expertise in the subject field. IEEE-USA advances the public good and promotes the careers and public policy interests of the nearly 200,000 engineering, computing and allied
A comprehensive review of machine learning techniques and their applications in various domains, such as cybersecurity, smart cities, healthcare, and more. Learn the principles, challenges, and potential research directions of different types of machine learning algorithms, such as supervised, unsupervised, semi-supervised, and reinforcement learning.
The comprehension of this synthesis shall help researchers for further research on malware detection and prevention using AI. Discover the world's research 25+ million members
This paper reviews the history and progress of natural language processing (NLP) and its applications in machine translation (MT), and discusses the challenges and trends in the field. It also analyzes the relationship between MT and human translation in the age of artificial intelligence.
This report explores the potential and challenges of artificial intelligence (AI) in education, and offers insights and recommendations for policies and practices. It covers topics such as human-like reasoning, intelligence augmentation, adaptivity, ethics, equity, and transparency.
The capabilities of artificial intelligence (AI) have accelerated over the past year, and they are beginning to impact healthcare in a significant way. Could this new technology help address issues that have been difficult and recalcitrant problems for quality and safety for decades? While we are early in the journey, it is clear that we are in the midst of a fundamental shift in AI capabilities.
Artificial intelligence technologies discussed in the studies on the use of artificial intelligence in digital video production are presented in Table 4. When Table 4 is examined, it is seen that ...
The articles in this special section are dedicated to the application of artificial intelligence AI), machine learning (ML), and data analytics to address different problems of communication systems, presenting new trends, approaches, methods, frameworks, systems for efficiently managing and optimizing networks related operations. Even though AI/ML is considered a key technology for next ...
INTRODUCTION Utilizing artificial intelligence (AI) to solve puzzle games is a critical research direction because of its practical application value. Two-dimensional puzzles cover a wide range of applications, and AI tools have been increasingly used to solve puzzles in fields such as finance, multimedia, forensic science, and medicine.
Artificial intelligence (AI) has been employed since the 1950s in a number of industries, including manufacturing, logistics, finance, and healthcare. AI is being utilised more and more to automate operations that formerly required human intervention as a result of recent developments in machine learning (ML). AI can be used to automate decision-making procedures and increase the precision of ...
Biglaiser G., J. Crémer and A Mantovani (2024) 'The Economics of the Cloud', Working Paper 1520, Toulouse School of Economics Brynjolfsson, E., D. Rock and C. Syverson (2020) 'The productivity J-curve: how intangibles complement general purpose technologies', Working Paper 25148, National Bureau of Economic Research Cottier, B., R. Rahman, L. Fattorini, N. Maslej and D. Owen (2024 ...
It is increasingly recognized that artificial intelligence has been touted as a new mobile. Because of the high volume of data that being generated by devices, sensors and social media users, the machine can learn to distinguish the pattern and makes a reasonably good prediction. This article will explore the use of machine learning and its methodologies. Furthermore, the field of deep ...
IEEE Xplore is a digital library providing access to technical literature in electrical engineering, computer science, and electronics.