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Research from the group of Lee Bassett in the School of Engineering and Applied Science describes a new approach for resetting and validating quantum states to reduce uncertainty in quantum computing experiments.
Penn researchers show that the new microwave imager chip could form images of simple objects. Unlike light, microwaves can travel through certain opaque objects, making microwave imagers potentially useful in a wide variety of applications.
Penn researchers, who first discovered topological insulators in 2005, have shown, for the first time, a way for a topological insulator to make use of its entire footprint without wasted space throughout the material’s interior.
Engineering professor Nader Engheta and his team have demonstrated a metamaterial device that can function as an analog computer, validating an earlier theory.
Penn Engineers have developed a liquid assembly line process that controls flow rates to produce particles of a consistent size at a thousand times the speed.
Benjamin Lee of the School of Engineering and Applied Science says that hardware and infrastructure costs are growing at high rates for generative AI.
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Benjamin Lee of the School of Engineering and Applied Science says that the electrical grid will have to figure out how to match supply and demand during brief windows where the energy source goes away.
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The Raj and Neera Singh Program in Artificial Intelligence at Penn will be the first AI undergraduate engineering major at an Ivy League school, led by George Pappas of the School of Engineering and Applied Science.
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Penn is the first Ivy League university to offer a degree in artificial intelligence, with remarks from Robert Ghrist of the School of Engineering and Applied Science.
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Researchers at the School of Engineering and Applied Science led by Marc Miskin have built folding microrobots that could potentially go into human bodies to reconnect damaged nerve endings.
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Benjamin Lee of the School of Engineering and Applied Science says there are many dramatic statements about the rapid growth of A.I., but it’s actually dependent on how quickly Nvidia chips can be distributed.
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