The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the ...

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

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

This doesn’t bode well for humanity. Just in case bots weren’t already threatening to render their creators obsolete: An AI ...

In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...