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AI behind Deepfakes may Power Materials Design Innovations

This image depicts a generative adversarial network creating new alloy compositions
The Generator network (G) uses statistical distributions learned from prior observations to imagine new materials with specific properties. Credit: Wesley Reinhart. All Rights Reserved.

The person staring back from the computer screen may not actually exist, thanks to artificial intelligence (AI) capable of generating convincing but ultimately fake images of human faces. Now this same technology may power the next wave of innovations in materials design, according to Penn State scientists.

“We hear a lot about deepfakes in the news today – AI that can generate realistic images of human faces that don’t correspond to real people,” said Wesley Reinhart, assistant professor of materials science and engineering and Institute for Computational and Data Sciences faculty co-hire, at Penn S...

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