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A clever method from Caltech researchers now makes it possible to unravel complex electron-lattice interactions, potentially transforming how we understand and design quantum and electronic materials.
In a paper published in Nature Physics, the Caltech team uses its new method to precisely compute the strength of ...
Using an advanced Monte Carlo method, Caltech researchers found a way to tame the infinite complexity of Feynman diagrams and ...
Their tool, CoSyn (short for Code-Guided Synthesis), taps open-source AI models’ coding skills to render text-rich images and generate relevant questions and answers, giving other AI systems the data ...
Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the visual ...
Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...
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Tech Xplore on MSNAI vision, reinvented: Vision-language models gain clearer sight through synthetic training dataIn the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...
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Interesting Engineering on MSNChina’s researchers to resurrect 2,000-year-old earthquake sensor shrouded in legendChinese researchers are taking another look at what might have been the world's first seismoscope invented nearly 2,000 years ago.
Tired of endless homework? Research reveals smarter study techniques can boost memory and make learning enjoyable. Cognitive ...
Photographic journeys through Memphis Italy, visionary diagrams, military fashions, intimate drawings, and the lives of ...
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