Developing the Foundations of Reinforcment Learning
2024 Turing laureates Andrew G. Barto and Richard S. Sutton discuss the theoretical background and practical application of reinforcement learning.
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Sutton and Barto developed reinforcement learning, a machine learning method that trains neural networks by offering them rewards in the form of numerical values.
Most IT professionals worry their jobs will be replaced by AI tools, while more companies attribute reductions to "technology updates" rather than AI.
Ultra-scale developments could have a profound impact on future transistor designs.
You Can Get There From Here (But It Really Makes a Mess of Things)
Technology isn't helping navigation apps address the problem of rerouting heavy traffic from highways to local roads.
Technologies dealing with death and bereavement are appearing even as legal questions about using and controling a dead person's likeness remain unresolved.
Accepting AI’s Suggestions Is Harder When You Think
Even with technology designed to avoid biases and deception, the sum of AI-human decision making can be less than the sum of its parts.
Automating Tools for Prompt Engineering
Automated prompting techniques can generate, select, or optimize prompts to improve the performance of models.
Experts tracked hacked funds across 12 different blockchains, while law enforcement agencies globally coordinated the efforts.
Exascale Supercomputers Tracking Down Dark Matter, Dark Energy
Simulations of the universe help laboratory physicists explore the observable manifestations of dark matter and dark energy.
Shining a Light on AI Hallucinations
Researchers and data scientists are actively exploring ways to rein in AI hallucinations through improved training and model refinements.
AI Risks for Democracy, the Economy, and Civil Rights
AI technology that amplifies false and misleading information increases instability in demcracy, experts say.
Digital Past Stirs Analog Memories at Extinct Media Museum
Visitors are encouraged to pick up devices and try them out.
Security Research Gaps Leave Critical Infrastructure Open to Cyberattack
The risk of attack on industrial controls is greater for today's interconnected systems than for those in the isolated world of Stuxnet.
Universities Take Strategic Steps in the Face of Uncertain Funding
The impact of changes in federal funding is a top concern for many university computer science programs.
Fulfilling the Growing Power Requirements of AI Datacenters
Nuclear energy checks many of the boxes sought for a modern power source.
AI Transforms Medical Diagnostics
Generative AI tools are streamlining administrative tasks, enhancing clinical-decision support, and augmenting patient education.
Predicting the Unpredictable: The AI Outlook
Uncertainties about competition, legislation, and sustainability counterbalance the thrilling potential of AI.
There are no effective standardized evaluation methods to measure how well a particular AI model performs a particular task.
Cyber Trust Mark to Distinguish Secure Smart Home Devices
The U.S. Cyber Trust Mark program is a mechanism for providers of wireless smart home devices to test and certify the security of their products.
Digital Twins Promise Personalized Medical Care
An accurate digital twin could monitor a person’s health and serve as a testbed for various therapies as needed.
Researchers have invested immeasurable time and effort into programs that run and never halt.
Finding Beauty and Meaning in Computational Complexity
Irit Dinur’s appointment as the first woman professor at the Institute for Advanced Study's School of Mathematics is at once historic and unremarkable.
Shape the Future of Computing
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Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
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