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

Singapore is showing what it takes to make AI not just powerful, but reliable enough for the world’s most critical systems.

Science is a subject built on doing. Students learn chemistry through titrations, biology through dissections, physics ...

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

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

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 deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

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

A team of physicists used ChatGPT to help crack a long-standing problem in quantum field theory, producing a new closed-form expression for single-minus gluon tree amplitudes that specialists had ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Design engineers can use AI-driven simulation to overcome bottlenecks and accelerate materials discovery with hybrid workflow approaches.

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