Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics (REMIND)
Director
Stanley Williams
Lead Institution
Texas A&M Engineering Experiment Station
Class
2022-2026
Mission
to establish foundational scientific knowledge underpinning the function of massively reconfigurable computing architectures that approach fundamental limits of energy efficiency and speed, enabling real-time learning and embedded intelligence emulative of specific neuronal and synaptic functions of the human brain.
Partner Institutions
- Texas A&M Exp Station
- NREL
- LBNL
- SNL-NM
Quick Facts
Single Slide Overview
Technical Summary
https://remind.engr.tamu.edu/
