Efficient Stochastic Machine Learning at the Edge
In this talk, I will talk about some hardware/software work my group has done in the area of stochastic computing-based machine learning acceleration. Stochastic computing or SC is an approximate, stream-based computing paradigm enabling extremely area-efficient implementations of basic arithmetic operations such as multiplication and addition. I will talk about the suitability of the SC […]
