David Andersson, of Los Alamos National Laboratory, will speak as part of the University of Wyoming School of Energy ...

Fully automated “self-driving” process development labs are an attractive idea, but human expertise and oversight will always be needed.

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Advances in machine learning and shape-memory polymers are enabling engineers to design for mechanical performance first and ...

Chinedu Eleh’s story is one of grit and transformation — from artisan apprentice in Nigeria to mathematician and researcher at ...

The second Society of Nuclear Medicine and Molecular Imaging (SNMMI) AI Summit, organized by the SNMMI AI Task Force, took ...

Large protein machines in the body carry out many of the cell's most essential tasks, from energy production to the ...

Late in 2025, we covered the development of an AI system called Evo that was trained on massive numbers of bacterial genomes. So many that, when prompted with sequences from a cluster of related genes ...

Polymer materials offer cost-effective solutions in engineering, yet their limitations prompt research into nano-reinforced composites for improved performance.

A duplex speech-to-speech model changes the premise: The intelligence layer consumes audio and produces audio directly. The model can attend to what was said and how it was said—content and delivery ...

For years, the Prairie Pothole Region has bothered me in a very specific way. On a map, it looks like a normal landscape: ...

A new study suggests AI systems could be a lot more efficient. Researchers were able to shrink an AI vision model to 1/1000th ...