Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

Large language models (LLMs) are becoming less "intelligent" in each new version as they oversimplify and, in some cases, misrepresent important scientific and medical findings, a new study has found.

CP2K is a widely used open-source package for atomic and molecular simulations, including AI training data. A new overview ...

Artificial intelligence promises to accelerate scientific discovery and open new frontiers of inquiry. But new research from ...

WASHINGTON — A new report from the National Academies of Sciences, Engineering, and Medicine examines how the U.S. Department of Energy could use foundation models for scientific research, and finds ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...

The researchers found 68 articles that analyzed theoretical aspects of consciousness and that were published between 2007 and ...