冯熊, assistant professor of 电气与计算机工程 at the University of 匹兹堡’s 斯旺森工程学院, received a $500,000 事业奖 from the National Science Foundation for his work developing the missing element in spiking neural networks (SNN), a dynamic synapse, that will dramatically improve energy efficiency, bandwidth and cognitive capabilities of SNNs.

A human brain—which today is still more proficient than CPUs at cognitive tasks like pattern recognition—needs only 20瓦的能量来完成一项任务, while a supercomputer requires more than 50,000 times that amount of energy. 该最新体育赛事资讯、实时赔率分析及在线投注平台旨在让计算机用更少的能量完成认知任务。