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UCSD-JacobsSchool-20181115-Kuzum_Lab-05204-8MP | by Jacobs School of Engineering
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UCSD-JacobsSchool-20181115-Kuzum_Lab-05204-8MP

A team led by Duygu Kuzum's lab has developed a neuroinspired hardware-software co-design approach that could make neural network training more energy-efficient and faster. Their work could one day make it possible to train neural networks on low-power devices such as smartphones, laptops and embedded devices.

 

Full story: jacobsschool.ucsd.edu/news/news_releases/release.sfe?id=2692

 

Photo credit: David Baillot/UC San Diego Jacobs School of Engineering

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Taken on November 15, 2018