Greetings all,

Please join us Wednesday, January 25, 2023 4:10 pm PST for our BrAIN Distinguished Seminar Series, presented by Dr. James 'Brad' Aimone, Distinguished Member of Technical Staff in the Center for Computing Research at Sandia National Laboratories.

Please see below for the full seminar details. We look forward to seeing you there!

Title-- A Probabilistic Future for Neuromorphic Computing

Abstract-- As Moore’s Law comes to a close, new innovative approaches to microelectronics research are important to achieve much needed capabilities improvements in computing for both artificial intelligence and modeling and simulation applications. In this talk, I will introduce the concept of probabilistic neuromorphic computing, a new approach to microelectronics and computing that takes advantage of the natural stochasticity of physical devices as a source of randomness for advanced computing applications. Our project, COINFLIPS (short for Co-designed Improved Neural Foundations Leveraging Inherent Physics Stochasticity), focuses on developing new probabilistic computing technologies that bridge across materials science, device physics, computer architecture, and theoretical algorithms research. This research aims to have long-term impacts on uncertainty-aware artificial intelligence and probabilistic modeling and simulation capabilities.

 

Biography--

 

Dr. Brad Aimone is a Distinguished Member of the Technical Staff in the Center for Computing Research at Sandia National Laboratories, where he is a lead researcher in leveraging computational neuroscience to advance artificial intelligence and in using neuromorphic computing platforms for future scientific computing applications. Brad currently leads a multi-institution DOE Office of Science Microelectronics Co-Design project titled COINFLIPS (which stands for CO-designed Influenced Neural Foundations Inspired by Physical Stochasticity) which is focused on developing a novel probabilistic neuromorphic computing platform and he currently leads several other research efforts on designing neural algorithms for scientific computing applications and neuromorphic machine learning implementations.

 

Brad has published over seventy peer-reviewed journal and conference articles in venues such as Neuron, Nature Neuroscience, Nature Electronics, Communications of the ACM, and PNAS and he is one of the co-founders of the Neuro-Inspired Computational Elements, or NICE, conference. Prior to joining the technical staff at Sandia in 2011, Dr. Aimone was a postdoctoral research associate at the Salk Institute for Biological Studies, with a Ph.D. in computational neuroscience from the University of California, San Diego and Bachelor’s and Master’s degrees in chemical engineering from Rice University.