A study in the Journal of Cosmology and Astroparticle Physics explores how a machine-learning strategy known as transfer ...
Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need ...
In a study published earlier this month in the Journal of Cosmology and Astroparticle Physics, cosmologists trained an AI ...
A new AI model has become so good at predicting how molecules evolve over time that, in the future, it could speed up the costly and time-consuming process of testing new drugs. In the long term, this ...
With automated proof-checkers, a problem can be broken up into small chunks, solved bit-by-bit, then reassembled with ...
Researchers at the University of California San Diego and the Allen Institute for AI have built a climate emulator that ...
Charles R. Goulding and Preeti Sulibhavi analyze how AI-enabled FANUC robots could transform automation, additive ...
London's PhysicsX raised $300M from Temasek at a $2.4bn valuation, doubling in a year. The F1-founded startup cuts engineering simulation from days to seconds.
Overall, the present design of ARC is expected to produce about 1.13 GW of fusion power, with 500 MW of that extracted as ...
PPPL’s new National Spherical Torus Experiment-Upgrade will play an important role in the Department of Energy's Fusion ...
Neutrino experiments are entering an era of unprecedented detector scale, precision, and data complexity. From liquid argon time projection chambers and ...
Cohere's first developer coding model is a 30B mixture-of-experts running on a single H100 with 256K context length.