Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...
An AI-powered model developed at University of Michigan can read a brain MRI and diagnose a person in seconds, a study suggests. It detected neurological conditions with up to 97.5% accuracy and ...
Posts about ‘overthrowing’ humans, philosophical musings and even the development of a religion quickly flooded the site ...
Moltbook, a so-called social network built exclusively for AI agents, has generated buzz in the technology world and posts from the platform have set the internet ablaze with conversations about auton ...
The four faculty that assembled to explore artificial general intelligence represent multiple disciplines across UC San Diego ...
Crowdsourced bug bounties and pen-testing firms see AI agents stealing low-hanging vulns from their human counterparts, but oversight remains key.
Rather than use AI to achieve scientific breakthroughs, Anthropic is betting AI agents can make the routine work of science more efficient ...
Talking to oneself is a trait which feels inherently human. Our inner monologs help us organize our thoughts, make decisions, ...
Applied Analytics lecturer David Shilane examines how organizations move beyond analytics dashboards to embed data science ...
New UK research challenges some scientists' fundamental assumptions about how memory works, relying on the entire brain.
The bill assigns responsibility for the scientific analysis of reported aerial activity to the Scientific Coalition for ...
The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...
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