Researchers have devised a new machine learning method to improve large-scale climate model projections and demonstrated that ...

When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Reinforcement learning (RL) and latent world models are emerging as promising tools for modeling complex atomic level changes ...

This e-book unpacks how tailored, no-code ML models are transforming IT service and operations from a game of catch-up into a strategic, proactive endeavour.

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

In a study published in PNAS Nexus, researchers from Lawrence Livermore National Laboratory (LLNL) described a new deep learning model, called ST-GasNet, capable of predicting toxic plume behavior in ...