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 ...
California has a goal of rapidly expanding access to work credits, though tracking progress on that goal has been difficult so far.
Discover how innovative learning ecosystems support curious Maths students, fostering deep engagement and community beyond ...
A newly developed AI control system using neuron-inspired learning enables soft robotic arms to learn a broad set of motions ...
The famed collider at Brookhaven National Laboratory has ended operations, but if all goes to plan, a new collider will rise ...
Students and researchers at ASU investigate generalizable AI and robotics with real-world applications across industries.
DPDZero uses AI to help banks and lenders in India recover unpaid loans more efficiently, replacing outdated collection ...
By Ossian ShineMILAN, Feb 6 : World skiing's governing body has moved swiftly to quash talk of ski jumpers injecting their ...
To answer that, we need to distinguish between cognitive tasks and institutional functions. AI systems in this future can replicate cognitive outputs (analysis, synthesis, prose, code) with increasing ...
This weekend, hundreds of millions of NFL football fans will settle in to watch the Super Bowl, and many will have their eyes ...
The Technical Psychoacoustics research group at the Aalto Acoustics Lab, within the Department of Information and Communications Engineering at Aalto University, invites applications for a one-year ...
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
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