New graphene physical reservoir computing device dramatically reduces machine learning computational loads

As power consumption by machine learning technologies rises, demand grows for AI devices with low power consumption and high computational performance. "Physical reservoirs" are AI devices that perform efficient brain-inspired information processing called reservoir computing and are interesting thanks to their low computational load and low power consumption. However, their lower computational performance compared to software processing has thus far been a drawback.