765 citations · 6.2k across the 83 of their papers we have counts for
3 papers · 2 filters
Probabilistic Circuits for Autonomous Learning: A simulation study
Jan Kaiser, Rafatul Faria, Kerem Y. Camsari +1
Modern machine learning is based on powerful algorithms running on digital computing platforms and there is great interest in accelerating the learning process and making it more e…
Autonomous Probabilistic Coprocessing with Petaflips per Second
Brian Sutton, Rafatul Faria, Lakshmi A. Ghantasala +3
In this paper we present a concrete design for a probabilistic (p-) computer based on a network of p-bits, robust classical entities fluctuating between -1 and +1, with probabiliti…
Low Barrier Magnet Design for Efficient Hardware Binary Stochastic Neurons
Orchi Hassan, Rafatul Faria, Kerem Y. Camsari +2
Binary stochastic neurons (BSN's) form an integral part of many machine learning algorithms, motivating the development of hardware accelerators for this complex function. It has b…