首页|Research Data from Chongqing University Update Understanding of Liquid State Mac hines (Ghost Reservoir: a Memory-efficient Low-power and Real-time Neuromorphic Processor of Liquid State Machine With On-chip Learning)
Research Data from Chongqing University Update Understanding of Liquid State Mac hines (Ghost Reservoir: a Memory-efficient Low-power and Real-time Neuromorphic Processor of Liquid State Machine With On-chip Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Liquid State Machines is the subject of a report. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Neuromorphic proces sors commonly execute spiking neural networks (SNN) models to obtain high energy efficiency. Compared to standard SNNs, liquid state machine (LSM), the spiking variant of reservoir computing, exhibits advantages in image classification, and are especially more promising in speech recognition.”
ChongqingPeople’s Republic of ChinaA siaEmerging TechnologiesLiquid State MachinesMachine LearningChongqing U niversity
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