most citedStochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.ET2020

sBSNN: Stochastic-Bits Enabled Binary Spiking Neural Network with On-Chip Learning for Energy Efficient Neuromorphic Computing at the Edge

Minsuk Koo, Gopalakrishnan Srinivasan, Yong Shim +1

In this work, we propose stochastic Binary Spiking Neural Network (sBSNN) composed of stochastic spiking neurons and binary synapses (stochastic only during training) that computes…

cs.ET2017★ 2 cited

Stochastic Spin-Orbit Torque Devices as Elements for Bayesian Inference

Yong Shim, Shuhan Chen, Abhronil Sengupta +1

Probabilistic inference from real-time input data is becoming increasingly popular and may be one of the potential pathways at enabling cognitive intelligence. As a matter of fact,…