Researchers have tapped reward-based reinforcement learning to teach robots to walk on diverse terrains, negotiate steps, and handle other motor functions.
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Homomorphic Technologies Could Process Still-Encrypted Data
Fully homomorphic encryption could stave off the security threats quantum computers pose to current encryption techniques.
The Rise of the AI-Enabled Agentic Internet
Society is turning over major and minor decisions once made exclusively by humans to AI agents.
AI tools now support the entire software development lifecycle, from drafting to debugging.
How AI measures up to the human motivation to experiment, break boundaries, or create something new.
Who is Liable When AI Goes Wrong?
Increasingly capable generative AI tools have created a gap between the technology's power and what many users understand about the legal liabilities of its use.
Generated data that starts forgetting tail events can lead to a concentration of higher probability distributions, which causes a model to fail.
Space-based datacenters would reduce the need for water, electricity, and other earth-based resources.
Freeze! How Immobilizing Medical Records Immunizes Patients Against Data Breaches
Researchers developed automated tools that run dummy data for analysis as a step in keeping personal data in medical records secure.
AI in the Era of Climate Change: Solution or Problem?
Will AI lead to a net increase or decrease in energy consumption, and what effect will that have on climate change?
Learning Computer Science Behind Bars
Teachers of computer science in prison must think creatively about curriculum delivery and rethink assumptions about how students learn.
Catching the Vibe of Vibe Coding
A new breed of AI-assisted coding programs allow the use of natural language prompts to create actionable code or programs.
Digital identity attributes could be swapped or rented to provide a window into another person's thinking or perceptions.
Privacy, performance, and security benefits have everyone from academic computer scientists to technology giants racing to develop more efficient ways of pulling AI out of the cloud and closer to users.
Machine Learning Framework Integrates Geometry into Fast PDE Solving
DIMON works by solving a PDE over a template domain, then predicting new solutions on other domains that are diffeomorphic to the template.
Rethinking Social Media’s Future
Experts propose changes to help social technologies better address disinformation, harassment, and other harms.
How Liquid Networks Make Robots Smarter
The architecture of the liquid network includes recurrences which support adaptation.
Developing the Foundations of Reinforcement Learning
2024 Turing laureates Andrew G. Barto and Richard S. Sutton discuss the theoretical background and practical application of reinforcement learning.
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.
Shape the Future of Computing
ACM encourages its members to take a direct hand in shaping the future of the association. There are more ways than ever to get involved.
Get InvolvedCommunications of the ACM (CACM) is now a fully Open Access publication.
By opening CACM to the world, we hope to increase engagement among the broader computer science community and encourage non-members to discover the rich resources ACM has to offer.
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