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.
