首页|University of Waterloo Reports Findings in Neural Computation (Efficient Hyperdi mensional Computing With Spiking Phasors)
University of Waterloo Reports Findings in Neural Computation (Efficient Hyperdi mensional Computing With Spiking Phasors)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Computation - Neural C omputation is the subject of a report.According to news reporting originating i n Waterloo, Canada, by NewsRx journalists, research stated,“Hyperdimensional (H D) computing (also referred to as vector symbolic architectures, VSAs) offers amethod for encoding symbols into vectors, allowing for those symbols to be combi ned in different ways to form other vectors in the same vector space. The vector s and operators form a compositional algebra,such that composite vectors can be decomposed back to their constituent vectors.”
WaterlooCanadaNorth and Central Amer icaComputationNeural Computation
NETL
NSTL
