Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

JuliaHub today announced Dyad 3.0, a major release of its AI-native systems simulation platform for the design, refinement, ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...

Using the second-nearest neighboring atoms to predict metallic glass stability can help researchers more accurately model the disordered solid with strong, elastic properties, according to a recent ...

Muons are a key subatomic particle in the discovery of new physics, but after particle collision, they’re difficult to track.

Parisa Khodabakhshi is an assistant professor of mechanical engineering and mechanics in Lehigh University’s P.C. Rossin College of Engineering and Applied Science. Prior to joining the Lehigh faculty ...

John Hopfield and Geoffrey Hinton have won the Nobel Prize in physics 2024 for their pioneering work in the field of machine learning. The Royal Swedish Academy of Sciences said on Tuesday the ...

New materials designed by artificial intelligence promise to provide stronger hip replacements and improve how fractures heal ...

These programmes, according to the Institute, will equip students with future-ready skills and address emerging industry ...