A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
Tech Xplore on MSN
Nanoengineered wood sets new record for transformer insulation
The world's power grid is straining under the surge in electricity demand from data centers, electric vehicles and renewable ...
Fashion has always been global, but today’s supply chains operate at a scale and speed few industries can match. ...
3don MSN
A cornerstone of Milky Way history may need rewriting with evidence of multiple ancient mergers
Astronomers may have uncovered new details about one of the Milky Way's most important ancient collisions. Using data from ...
Tech Xplore on MSN
Liquid cooling technology for semiconductor chips is 10 times more efficient than previous record
AI data centers are power-hungry. Not only do artificial intelligence computations consume enormous amounts of electricity, but a significant amount of energy is also required to cool the ...
Vancouver Sun on MSNOpinion
Vaughn Palmer: Dropping opioid death toll hints B.C. NDP retreat on harm-reduction may be working
VICTORIA — Deaths from toxic drugs have dropped by a third in B.C. over the past year, a period that coincides with NDP ...
Small-scale testing enables the isolation of mechanisms. Instead of measuring the averaged response of a large specimen, ...
ALBANY — New York’s lawmakers have approved a bill that would block new large-scale data center projects across the state for one year; if signed into law it would be the first of its kind to take ...
From large aerospace production systems to challenging small-scale honeycomb applications, LEA has already proven itself in ...
AI data centers are often described as "power-hungry giants." Not only do artificial intelligence computations consume enormous amounts of ...
New York’s lawmakers have approved a bill that would block new large-scale data center projects across the state for one year ...
Researchers developed a hybrid UMAP-HDBSCAN-SVM machine learning workflow to rapidly classify low-loss STEM-EELS spectrum ...
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