High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
FAYETTEVILLE, GA, UNITED STATES, January 29, 2026 /EINPresswire.com/ -- Accurate atmospheric temperature profiles are ...
Sheng Di, a computational scientist in the Mathematics and Computer Science division at the U.S. Department of Energy’s (DOE) ...
LIGAND-AI is a flagship project of the Target 2035 initiative, funded by the Innovative Health Initiative, a public-private partnership (PPP) between the European Union and the European life science ...
MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.
Thomas Kuhn, the 20th-century historian of science who coined the phrase “paradigm shift,” had a name for such breakdowns in ...
High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.
A new University of Liverpool spin-out, Apoello, has secured £470k in pre-seed investment to accelerate the commercialisation of its AI-enabled ...
Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
NuScale Power Corporation (NYSE: SMR) said it will partner with Oak Ridge National Laboratory to utilize an artificial intelligence-enabled nuclear design framework for a 12-NuScale Power Module ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.
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