20 Feb, 2018
MIT researchers have developed a special-purpose chip that increases the speed of neural-network computations by three to seven times over its predecessors, while reducing power consumption 93 to 96 percent. That could make it practical to run neural networks locally on smartphones or even to embed them in household appliances. Image: Chelsea Turner/MIT
3 minutes read
4 minutes read
Wevolver’s free newsletter delivers the highlights of our award winning articles weekly to your inbox.
Wevolver 2023