Engineering and TechnologyNature Communications
Neural sampling machine with stochastic synapse allows brain-like learning and inference
S. Dutta, G. Detorakis, et al.
Discover the groundbreaking Neural Sampling Machine (NSM) designed to leverage stochastic synaptic connections for approximate Bayesian inference, achieving an impressive 98.25% accuracy on MNIST image classification. This innovative hardware is the result of collaborative research by Sourav Dutta, Georgios Detorakis, Abhishek Khanna, Benjamin Grisafe, Emre Neftci, and Suman Datta.
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