Empower Diversity in AI Development
A set of practical recommendations that empower organizations to increase diversity in AI development.
Artificial Intelligence and Machine Learning
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Computational Thinking: The Idea That Lived
Computational thinking is the idea that has not only survived, it is now seen as more important than ever in an age of AI.
We offer an eight-tiered hierarchy that classifies AI machines by their learning power.
Room-Temperature Superconductivity Heats Up
Compounds that display superconductivity are incredibly rare, and many require specific pressures or conditions to perform in a desired manner.
How AI Is Helping Doctors Make Better Decisions in Healthcare
AI-based decision support systems are like working alongside a really knowledgeable colleague to confirm you’re on the right track.
LLMs represent an emerging battleground for misuse and abuse that aims to sway public opinion and mislead the masses.
The Paradigm Shifts in Artificial Intelligence
To understand the state of the art of AI and where it is heading, it is important to track its scientific history.
Dark Patterned Voices Manipulate Users
The vocal cues of voice user interfaces can be subtly manipulated to influence users' opinions.
Nobel Prizes and AI: The Promise, the Peril, and the Path Forward
Three prizes awarded by the Nobel Committee this year send a remarkable message about the current moment in Artificial Intelligence
How can we prevent prompt-hacking and an associated AI research replication crisis?
Toward Effective AI Support for Developers
Insights into the opportunities and concerns that developers have with using AI in their work.
Between the Booms: AI in Winter
AI became more pluralistic as a loss of faith in formerly dominant approaches created space for new ideas.
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.
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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