Nanowerk

Atomic jitters power a new kind of probabilistic AI chip

Thermal noise in magnetic tunnel junctions, usually suppressed, now serves as a tunable source of randomness for Bayesian ...
IEEE

Bayesian Sample Augmentation in Graph Neural Networks for Radio Map Recovery

Abstract: Through the radio map presented by the signal strength at observed points, the signal distributions such as signal attenuation of an area can be obtained. However, it is practically ...
IEEE

High-Efficient Memristor-Based Bayesian Convolutional Neural Networks for Out-of-Distribution Detection by Uncertainty Estimation

Abstract: By using the nonvolatile and stochastic properties of memristor, memristors crossbar arrays can efficiently accelerate Bayesian neural networks (BNNs). However, Bayesian convolutional neural ...