203 citations · 286 across the 5 of their papers we have counts for
5 papers
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…
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,…
Ising spin model using Spin-Hall Effect (SHE) induced magnetization reversal in Magnetic-Tunnel-Junction
Yong Shim, Akhilesh Jaiswal, Kaushik Roy
Ising spin model is considered as an efficient computing method to solve combinatorial optimization problems based on its natural tendency of convergence towards low energy state.…
Proposal for an All-Spin Artificial Neural Network: Emulating Neural and Synaptic Functionalities Through Domain Wall Motion in Ferromagnets
Abhronil Sengupta, Yong Shim, Kaushik Roy
Non-Boolean computing based on emerging post-CMOS technologies can potentially pave the way for low-power neural computing platforms. However, existing work on such emerging neurom…
STT-SNN: A Spin-Transfer-Torque Based Soft-Limiting Non-Linear Neuron for Low-Power Artificial Neural Networks
Deliang Fan, Yong Shim, Anand Raghunathan +1
Recent years have witnessed growing interest in the use of Artificial Neural Networks (ANNs) for vision, classification, and inference problems. An artificial neuron sums N weighte…