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

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

New data-driven map uses live weather, water temperature modeling, and machine learning to help prevent fish loss ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...

Orbital-free approach enables precise, stable, and physically meaningful calculation of molecular energies and electron ...

McKinsey research shows that combining AI, machine learning and physics-based modeling can help building owners identify and ...

A team of EPFL researchers has developed an AI algorithm capable of modelling complex dynamical processes while adhering to ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

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

Hey, AI-nstein! Doing homework without robot assistance may soon be a relic of the past. A tech company has devised a ...