Reconfigurable Electronic Materials Inspired by Nonlinear Neuron Dynamics (REMIND)
![](/-/media/bes/efrc/images/centers/2022/REMIND-Header.png?w=100%25&hash=424A3B196757EA0D7B5CC64ABCF7FEC273590612A293507E067CC524D0045039)
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
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- Texas A&M Exp Station
- NREL
- LBNL
- SNL-NM
Quick Facts
Single Slide Overview
Technical Summary
https://remind.engr.tamu.edu/