Skip to content New approach to improving AI performance turns a silicon problem into a feature. The growing energy use of AI has gotten a lot of people working on ways to make it less power hungry. One option is to develop processors that are a better match to the sort of computational needs of neural networks, which require many trips to memory and a lot of communication between artificial neurons that might not necessarily reside on the same processor. Termed "neuromorphic" processors, this a...