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A new study by researchers at the University of Toronto suggests that one of the fundamental assumptions of deep learning artificial intelligence models – that they require enormous amounts of training data to make accurate predictions – may not be a
AI researchers have predicted the structures of more than 2 million new materials, and published a list of the 381,000 most stable ones. They say their work is currently equivalent to nearly 800 years of knowledge.
Two energy experts join Stoicheia's scientific advisory board Daniel Schrag, Chris Wolverton join materials discovery tech startup iCrowd Newswire 11 May 2021, 06:07 GMT+10 SKOKIE, Ill. — World-renowned scientists Daniel Schrag and Christopher Wolverton have joined Stoicheia's Scientific Advisory Board, the new tech startup announced today. A MacArthur "Genius" Fellow, Schrag is the Sturgis Hooper Professor of Geology and professor of environmental science and engineering at Harvard University, where he studies Earth's climate history in order to understand current climate challenges and mi...