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.

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.

The original version of this story appeared in Quanta Magazine. There are precision measurements, and then there’s the Laser Interferometer Gravitational-Wave Observatory. In each of LIGO’s twin ...

To help advance the development of a data-driven and automated kill chain, the U.S. Air Force’s 805th Combat Training Squadron, or Shadow Operations Center-Nellis (ShOC-N), completed Experiment 3, a ...

Artificial intelligence is no longer a future-facing investment or a set of experimental tools confined to innovation teams.

Executives will incorporate AI fluency into their business culture and deploy systems to manage global complexity.

While AI chatbots grab most of the attention, deep learning is also quietly revolutionizing science and engineering. A new AI model that can help predict the outcome of fusion power experiments could ...

Siemens Digital Industries Software has updated its Designcenter Solid Edge software. The update includes new capabilities in AI and improvements in productivity, documentation, and user experience.

What Amazon learned when it automated the creation of product pages. by Stefan Thomke, Philipp Eisenhauer and Puneet Sahni For all the enthusiasm around generative AI, there’s a hurdle that is ...