Large language models lack grounding in physical causality — a gap world models are designed to fill. Here's how three distinct architectural approaches (JEPA, Gaussian splats, and end-to-end ...

Argonne National Laboratory is using its exascale supercomputers and artificial intelligence to simulate how carbon behaves ...

Predictive modeling and atomic-scale control are reducing development time for advanced materials, also increasing precision, functionality, and efficiency.

An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.

Silvaco Group surged over 50% post-Q4 FY25 earnings last week, driven by strong TCAD bookings and explosive SIP revenue ...

SCS researchers, including CSD's Guying Lin (shown), have developed a new scene-generation framework that creates physically realistic, simulation-ready 3D scenes from text prompts. PAT3D generates 3D ...

Robots are increasingly learning new skills by watching people. From folding laundry to handling food, many real-world, ...

Researchers use supercomputers and artificial intelligence to predict how carbon transforms under extreme heat and pressure, paving the way for revolutionary materials.

Carbon forms the graphite in pencils, the diamonds in jewelry and the molecules that make up every living thing. But under ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Xanadu Quantum Technologies Inc. (“Xanadu”), a leading photonic quantum computing company, has today announced a novel quantum computational algorithm to accelerate the discovery ...

Steve Nemzer, Sr. Director, AI Growth & Innovation, TELUS Digital, leads initiatives focused on advancing AI training data and infrastructure for next-generation artificial intelligence systems. His ...