Machine learning doesn’t replace human intelligence, but it can outlast human endurance, which makes it a very helpful tool for chemistry and material discovery. Scientists know the machine learning models can make predictions based on the vast reams of data it is trained on, but can it take it a step further and massively scale up testing out those predictions? “We already see that AI is powerful
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Graphene is an exceptionally useful material for creating batteries, catalysts, and electronic devices. Yet producing graphene typically requires temperatures as high as 900°C, limiting energy efficiency and making structural control difficult. To make graphene production more practical, a recent study has overcome this long-standing temperature barrier. In a study published in the Journal of the
UAlbany sophomore Collin Flynn spent his summer studying the electrical properties of moon soil in support of ongoing efforts to get humans back to the moon, thanks to a 10-week research opportunity provided through the College of Nanotechnology, Science, and Engineering's Summer Undergraduate Research Program.
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The four projects, funded by the Leverhulme Trust and Wellcome , span all areas of the University and cover topics ranging from healthcare and artificial intelligence to waste management, pollution and sustainable technology. Funded by the Leverhulme Trust, the first of these DTPS will train the next generation of researchers to tackle the global waste crisis through interdisciplinary research and
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The ideas kept coming. So the team behind WashU’s AI Perspectives Week decided to add a second week of programming. Nathan Jacobs, vice provost for artificial intelligence, was not surprised by the community’s interest. “The proposals came from every corner of the university,” said Jacobs, a professor of computer science and engineering at WashU McKelvey Engineering . “Our faculty and students hav
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The National Science Foundation renewed its funding for the AI-powered Earth system modeling center LEAP , aimed at improving Earth system projections through…