Sanford Researchers Create Deep Learning Algorithm that could Boost Drug Development

April 3, 2017 By Taylor Kubota

Artificial intelligence algorithms rely on training that involves thousands to trillions of data points. This means artificial intelligence doesn’t work all that well in situations where there is very little data, such as drug development. Vijay Pande, professor of chemistry at Stanford University, and his students thought that a fairly new kind of deep learning, called one-shot learning, that requires only a small number of data points might be a solution to that low-data problem.


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