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.

People are increasingly turning to software to design complex material structures like airplane wings and medical implants. But as design models become more capable, our fabrication techniques haven't ...

Amid reports of strains with OpenAI, Microsoft has branched out to Anthropic as its next Copilot AI partner. Claude models ...

“The obvious value metric is cost savings, and that comes in two forms, cost out and cost avoidance. The problem that ...

Risk is high for pioneers of chiplet stacking, but the rewards could be significant. This will get easier, though.

Digital twins are playing a critical role in advancing the healthcare sector. With the aim of improving health interventions and clinical outcomes, medical devices are modeled and assessed on virtual ...

Last summer, using realmo.com, I was evaluating a multifamily property in Denver that looked terrible on paper. The asking ...

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of ...

AI Statisitcs: market size valued at USD 391.70 bn in 2024 and is projected to reach approximately USD 10,173 bn by 2034, at ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

Big Yao, Dan Doulet Early Career Assistant Professor in the Department of Industrial and Systems Engineering at the ...

The energy needed for one AI image varies greatly, from around 0.1 kWh for simpler models to over 2.0 kWh for advanced ones.