While popular AI models such as ChatGPT are trained on language or photographs, new models created by researchers from the Polymathic AI collaboration are trained using real scientific datasets. The ...

The winners of the 2024 Kaul Foundation Prize for Excellence in Plasma Physics Research and Technology Development: PPPL’s Seung-Hoe Ku, Choongseok (CS) Chang, and Robert Hager. Three scientists were ...

The company’s high-fidelity multi-body dynamics solver targets the data quality bottleneck at the core of robot learning — ...

Simulating physics is central to robotics: before a robot ever moves in the real world, much of its learning, testing, and control happens in a virtual environment. But traditional simulators often ...

Quanscient will use new funding to expand internationally and advance its cloud-based simulation platform designed to support ...

Mistral AI has acquired Vienna-based physics-AI startup Emmi for an undisclosed sum, targeting manufacturers in aerospace, automotive, and semiconductors. It is Mistral's second 2026 acquisition after ...

The PAN AI world model developed at the Mohamed bin Zayed University of Artificial Intelligence in Abu Dhabi can simulate a wide range of real-world conditions for training autonomous systems, ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

Temperature adds another challenge. Standard DFT is essentially a zero-temperature approach, so thermal effects must be ...

To keep pace with modern design cycles and more complex hardware, the role of physics in the workflow must change.