Between the Booms: AI in Winter
AI became more pluralistic as a loss of faith in formerly dominant approaches created space for new ideas.
Artificial Intelligence and Machine Learning
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The landscape for AI copyright and patent law looks a lot like the landscape for AI: confusing, chaotic, and changing at lightspeed.
Directions of Technical Innovation for Regulatable AI Systems
What advances in AI systems are needed for them to be effectively regulated?
Neural Architecture Search as Program Transformation Exploration
This paper shows that program and neural architecture transformations can be interleaved delivering significant performance improvement and greater expressivity.
Advances in AI and HCI can power intelligent, interactive, and accessible reading interfaces to improve scholarly reading.
Between the two extreme visions of AI as a servant and AI as a sentient fighter-lover, resides an important and practical alternative: AI as a provocateur.
Intense competition among organizations has made open-sourcing LLMs an attractive strategy that's leveled the competitive field.
More than half of surveyed organizations have a person who's in charge of AI or orchestrate related initiatives.
Training Neural Networks to Grok
“This phenomenon is very counterintuitive in terms of how we classically think of neural network training."
The Promethean Dilemma of AI at the Intersection of Hallucination and Creativity
To what extent can the hallucinations of generative AI models be considered creative?
The Promises and Possibilities of Scenarios We Can Create
The way we ask a generative AI chatbot a question affects the way it is answered.
The scaling of LLMs, with their enormous memory-bandwidth requirements, comes at a high cost.
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.
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.
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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