Meta’s Matt Uyttendaele on AI for Material Discovery

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Meta’s Matt Uyttendaele on AI for Material Discovery

Matt Uyttendaele is the director of the AI for Chemistry group at Meta. His group applies machine learning to material discovery for several applications: clean hydrogen, sorbents for direct air capture, and next-generation displays. In 2024, we were honored to have him speak at our Annual General Meeting about a new application of AI that he has been working on for the last few years and how it relates to his career in visual technologies.

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Structuring a Sustainable Future: Visual Technology is Advancing the Discovery & Development of New Materials

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Structuring a Sustainable Future: Visual Technology is Advancing the Discovery & Development of New Materials

We believe that visual technologies will continue to be the crux of advancements in materials science, across nanomaterials and metamaterials, resulting in the transformation of various industrial, medical and consumer applications. Embedded AI will enable materials to reconfigure themselves autonomously in response to their environment. As sensing abilities and algorithms improve, the full potential of navigating the compositional and configurational possibilities of materials will catalyze widespread transformation for optics, biomarker diagnostics, robotics, 3D printing and more.

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