physics-based AI

New research presented via EurekAlert describes how artificial intelligence paired with physics-based methods is advancing imaging techniques, including work that makes the invisible visible and automates the colorization of anime footage. The announcement highlights computational imaging as a growing field where machine learning and physical modeling intersect, with potential applications in science and animation production.

Researchers are combining artificial intelligence with physics-based models to push imaging beyond what cameras can directly capture, from reconstructing hidden scenes to automatically colorizing anime footage. In a new Q&A, experts explain how machine learning can fill in missing visual information while physical laws keep the results grounded, pointing toward faster, cheaper imaging tools for science and media alike.

Nvidia has reached a settlement in a trademark lawsuit concerning its 'Modulus' AI software, according to a Reuters report. The dispute centred on Nvidia's use of the Modulus name for its framework for building physics-based machine learning models. Terms of the settlement were not disclosed in the report, and the company has not issued a detailed public statement on the outcome.

Tohoku University announced research on an AI model for materials discovery that is grounded in physics rather than relying purely on data patterns. The approach aims to make predictions of new materials more reliable and reproducible, addressing a common weakness of purely statistical machine learning in chemistry and materials science. The university released the work through its research news service.