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Washington University in St. Louis’ prof shows how neuromorphic AI systems can learn by doing more with less

Written by: Tyler O'Neal, Staff Editor

Sparsity and energy constraints guide learning and communications in silicon neuronal networks ...

Washington University recipients of awards to give presentations

Written by: Writer
By Mary Kastens -- Philip Stahl, prominent cell biologist and physiologist and Jonathan Turner,...

Washington University's Yixin Chen receives prestigious Microsoft award

Written by: Writer
Yixin Chen, Ph.D., assistant professor of computer science and engineering at Washington...

Washington, D.C., Symposium to Highlight Science Enabled by Hybrid Supercomputing

Written by: Dawn Levy

Transformational work in combustion, nuclear energy, seismology and more to be discussed

Oak Ridge

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Washington, Rosetta@home's deep learning supercomputer dreams up new protein structures

Written by: Tyler O'Neal, Staff Editor

Researchers show that a neural network trained exclusively to predict protein shapes can also

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