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

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...

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

Iambic Therapeutics, a San Diego–based start-up that harnesses physics and artificial intelligence for drug discovery, is ...

The field of particle physics is approaching a critical horizon defined by challenges including unprecedented data volumes and detector complexity. Upcoming ...

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 ...

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

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

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

Researchers at the University of Tokyo have identified a precise sweet spot where quantum reservoir computing, a machine learning approach that treats quantum systems as computational engines, reaches ...