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 ...
The big question this weekend is how much snow Maryland could see. While forecasters usually have a good idea two days out, ...
“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...
The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...
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.
People who work with AI every day often describe the same feeling: a sense that the tools around them have multiplied faster ...
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