Predicting material properties remains a major challenge in materials science, as it often requires complex and computationally intensive calculations. In particular, understanding how materials ...

Large language models have already transformed software engineering, for better or worse. Now, so-called large physics models are also starting to transform design engineering. These tools are ...

Ornith 1.0 by DeepReinforce is meant for developers who want AI that finishes the job, not just autocompletes the next line.

By 2050, scientists estimate that antibiotic-resistant infections will be associated with more than eight million deaths ...

Shanghai-based Fysics AI says Fysiverse is a ‘new-generation physics-based world model that adheres to real-world physical ...

From writing emails to generating computer code, much of the artificial intelligence prevalent in our daily lives has succeeded by mastering one domain: text. However, this leaves a major blind spot ...

Weather forecasting is another aspect of modern life that artificial intelligence is transforming. Models like GraphCast, Pangu-Weather, and Fuxi are already better than traditional physics-based ...

Scientists found that transfer learning can make the search for new physics in the universe much faster, slashing the need for expensive simulations. Yet the approach can backfire when AI relies too ...

During surgery to correct an abnormal heartbeat, doctors rely on a mix of imaging and inference. Still, many critical details remain hidden. At RIT, artificial intelligence (AI) researchers want to ...

Schematic illustration of the physics-based AI framework. Starting from a crystal structure, the method separately predicts Born effective charges and phonon properties, which are then combined using ...