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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

New chip to reduce neural networks’ power consumption

Advances in artificial-intelligence systems have come courtesy of neural networks as they are closely interconnected meshes of data processors. Neural networks are large and, their...
Self-Learning Analog System Tackles Problems Beyond The Reach Of Previous Systems

Self-Learning Analog System Tackles Problems Beyond The Reach Of Previous Systems

Scientists from the Université Libre de Bruxelles in Brussels, Belgium have developed a neuro-inspired analog system. This new analog system has the ability to...

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