Advancing the Search Frontier with AI Agents
AI agents are advancing the search frontier to make more tasks actionable and help make inroads into complex task completion.
Artificial Intelligence and Machine Learning
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Gauging Societal Impacts of Large Language Models
NIST is testing LLMs in a scientific setting to determine their real-world effects.
Only innovation will stave off the unbridled increase in power needed to run the chips behind exploding AI features and functionality.
Beyond Turing: Testing LLMs for Intelligence
Computer scientists have not developed a consensus on how to measure intelligence, or what exactly to measure.
Imagining Intelligent Machines
"Our dream to create a machine in our own image that is smart and obedient has been a constant throughout the ages, and what we create depends on the available technology."
Relying on BONES to Enhance Video Streaming
Advances in deep learning allow the enhancement of video content when streaming bandwidth fluctuates or is constrained.
Space Exploration Blasts Off with AI
AI may be the new star in space exploration, but the technology remains parsecs away from its full potential.
Establishing Standards for Embodied AI
The complexity of embodied AI systems underlines the imperative need for a standards framework to ensure their safety, reliability, performance, and usability.
In the future, human DNA and AI become intertwined, forming a Triple Helix that predicts, and directs, human behavior.
A Versal Story in the Era of Hardware AI: Why the Chinese Could Win
Chinese integrators are the ones making the chip company's technology more accessible to a wide range of developers.
Generative AI Requires Broad Labor Policy Considerations
Whether and under what conditions does generative AI automate or augment workers?
Minimal Sufficiency and AI Governance
A voluntary standard for AI accountability must meet known needs of the current community and unknown needs of the future.
Building Foundation Models for Embodied Artificial Intelligence
Delving into the tradeoffs of building foundation models for embodied AI systems.
Anticipating the Year of the AI PC
The neural processing unit, a specialized accelerator, will be a differentiator for AI PCs.
Digital twins and other AI-powered simulations move climate forecasters and government officials closer to the goal of real-time forecasting and earlier warnings of extreme events.
Can Artificial Intelligence be Open Sourced?
National and regional governments worldwide are investing significant amounts to build AI infrastructure and support AI innovation.
Making Conversation a Robot’s Command
Recent advances help close the gap between high-level specifications of robotic behavior, and low-level implementations of robotic platforms.
The most popular explainable AI (XAI) approaches offer no guarantees of rigor.
New Computer Evaluation Metrics for a Changing World
Computing systems should now be measured on how they leverage available power and on their carbon footprint.
The Rise of the AI Co-Pilot: Lessons for Design from Aviation and Beyond
Co-pilot is a useful metaphor for describing how AI technology is intended to act in relation to human users.
How to Think About Remedies in the Generative AI Copyright Cases
Lawsuits charging developers of generative AI technologies with copyright-related violations are likely to influence legislation about generative AI copyright issues.
The Energy Footprint of Humans and Large Language Models
Each time someone interacts with a large language model (LLM), there is an energy cost in running the model for inference. In addition, there is an energy cost in the preparation and training of the model before it was brought to production. It is relatively easy to look at these costs in terms of kilowatt-hours […]
Is Computing a Discipline in Crisis?
One of our professional societies should act as convenor and moderator for a community-wide conversation about the future of AI.
LLM Hallucinations: A Bug or A Feature?
Researchers are taking a multitude of approaches to deal with AI hallucinations.
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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