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

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

SANTA CLARA, CA - March 16, 2026 - - As generative artificial intelligence reshapes the software landscape, technology ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 possible variants-more combinations than atoms in the observable universe.

TCAD models are the fundamental building blocks for the semiconductor industry. Whether it is a new process node or a new multi-billion dollar fab, accurate TCAD models must be developed and ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

According to the institute, the programme will emphasise simulation-based learning and advanced computational tools used in ...

MATLAB courses explain programming, simulations, and data analysis used in engineering and research work.Online platforms and ...