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Deep learning algorithm to speed up materials discovery in emerging tech industries

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Solid-state inorganic materials are critical to the growth and development of electric vehicle, cellphone, laptop battery and solar energy technologies. However, finding the ideal materials with the desired functions for these industries is extremely challenging. Jianjun Hu, an associate professor of computer science at the University of South Carolina is the lead researcher on a project to generate new hypothetical materials.

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New perception metric balances reaction time, accuracy

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Researchers at Carnegie Mellon University have developed a new metric for evaluating how well self-driving cars respond to changing road conditions and traffic, making it possible for the first time to compare perception systems for both accuracy and reaction time.

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