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Stochastic Sampling Machine for Bayesian Inference - Raphael Frisch at INC 2019

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#ICRC #2019 #Rebooting Computing #INC #Grenoble #France #nanodevices #computing #robots #robotics #energy efficiency #energy optimization #Bayesian Model #Bayesian machine #stochastic computing #network architecture #sound source localization #memory #processing #asynchronous #machine localizing #sampling

Raphael Frisch, University of Grenoble Alpes, speaks about the nonconventional architecture of the Bayesian Model with stochastic computing the motivation of this work. Frisch reviews the SSL (Sound Source Localization) application step-by-step to achieve this network architecture, as well as the various optimizations used in the process.

Recorded at the IEEE International Nanodevices & Computing Conference (INC 2019). 

Read more about this event here: http://icrc.ieee.org/inc/

Raphael Frisch, University of Grenoble Alpes, speaks about the nonconventional architecture of the Bayesian Model with stochastic computing the motivation of this work. Frisch reviews the SSL (Sound Source Localization) application step-by-step to achieve this network architecture, as well as the various optimizations used in the process.

Recorded at the IEEE International Nanodevices & Computing Conference (INC 2019). 

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