Hardware-Software Co-Design to Make Neural Nets Less Power Hungry (IMAGE)
Caption
A UC San Diego-led team has developed hardware and algorithms that could cut energy use and time when training a neural network.
Credit
David Baillot/UC San Diego Jacobs School of Engineering
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Please credit: David Baillot/UC San Diego Jacobs School of Engineering
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