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KAIST scientist wins 2021 IBM Academic Award

KAIST scientist wins 2021 IBM Academic Award
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Eight UCLA professors awarded 2021 Guggenheim Fellowships


The honors are bestowed upon a broad range of scholars, writers and artists
UCLA
Top row, left to right: Elizabeth DeLoughrey, Chon Noriega, Rodrigo Valenzuela and Priyanga Amarasekare, professor of ecology and evolutionary biology. Bottom row, left to right: Keith Camacho, Kamari Clarke, Suhas Diggavi and David Goldstein.
Jessica Wolf |
April 12, 2021
UCLA led all universities and academic institutions in 2021 with eight professors selected to receive fellowships from the John Simon Guggenheim Memorial Foundation.
The UCLA faculty named as fellows are: Priyanga Amarasekare, professor of ecology and evolutionary biology; Kamari Clarke, professor of anthropology; Keith Camacho, associate professor of Asian American studies; Elizabeth DeLoughrey, professor of English; Suhas Diggavi, professor of electrical and computer engineering; David Goldstein, associate professor of linguistics and Indo-European studies; Chon Noriega, distinguished professor of ....

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Geometric deep learning, from Euclid to drug design


“Symmetry, as wide or as narrow as you may define its meaning, is one idea by which man through the ages has tried to comprehend and create order, beauty, and perfection.” This poetic definition comes from the great mathematician Hermann Weyl, credited with laying the foundation of our modern theory of the universe. Another great physicist, Philip Anderson, said that “it is only slightly overstating the case to say that physics is the study of symmetry.” In mathematics, symmetry was crucial in the foundation of geometry as we know it in the 19th century. Now it could have a similar impact on another emerging field. Deep Learning success in recent decades are significant – from revolutionising data science to landmark achievements in computer vision, board games and protein folding. At the same time, a lack of unifying principles makes it is difficult to understand the relations between different neural network architectures resulting in the reinvention and re-branding of ....

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