Trained with a joint understanding of protein and cell behavior, the model could help with diagnosing disease and developing new drugs.

Words like “no” and “not” can cause this popular class of AI models to fail unexpectedly in high-stakes settings, such as medical diagnosis.

With a novel simulation method, robots can guess the weight, softness, and other physical properties of an object just by picking it up.

The CausVid generative AI tool uses a diffusion model to teach an autoregressive (frame-by-frame) system to rapidly produce stable, high-resolution videos.

“IntersectionZoo,” a benchmarking tool, uses a real-world traffic problem to test progress in deep reinforcement learning algorithms.

New type of “state-space model” leverages principles of harmonic oscillators.

A new method helps convey uncertainty more precisely, which could give researchers and medical clinicians better information to make decisions.

Preventing 3D integrated circuits from overheating is key to enabling their widespread use.

Chemists could use this quick computational method to design more efficient reactions that yield useful compounds, from fuels to pharmaceuticals.

Researchers have created a unifying framework that can help scientists combine existing ideas to improve AI models or create new ones.