Predicting material properties remains a major challenge in materials science, as it often requires complex and ...

A new study published in Nature Communications has shown that in the asymptotic limit, extracting the maximum possible work ...

Our weekly roundup of the latest science in the news, as well as a few fascinating articles to keep you entertained over the ...

After a 10-year effort, physicists got a value for “Big G” that does not settle the debate over one of nature’s hardest ...

Per Moskvitch, Aaronson later watched the episode with his own two children, who kept asking follow-up questions. “This is ...

ZoomInfo reports that successful AI integration into GTM relies on a hierarchy of Context, Timing, Targeting, and Content, ...

Recent trials using quantum hardware demonstrate how advanced computing can expose hidden criminal networks and transform global financial crime prevention ...

Abstract: Federated learning emerges as a key enabler toward pervasive intelligence across IoT ecosystems with provable privacy guarantees. While recent efforts on client selection have been made for ...

A new research model called PiGRAND merges physics guidance with graph neural diffusion to predict and control AM processes. Additive manufacturing (AM) teams have long sought reliable prediction and ...

Explore how graphene and other 2D materials revolutionize batteries, electronics, and supercapacitors through advanced graphene production inspired by Nobel Prize physics breakthroughs. Pixabay, ...

Bioprocess developers have long known that the cell culture suite is where therapeutic proteins earn—or lose—their quality. Subtle shifts in raw materials, cell line genetics, or control ranges can ...