NSF Awards $500,000 for Room-Temperature Single-Electron Neuromorphic Processor

1 articles · Updated · WashU · Sep 2

$500,000 in NSF funding will back Shantanu Chakrabartty's team as it develops a room-temperature single-electron neuromorphic processor aimed at more energy-efficient AI hardware.
The project seeks to exploit thermal noise rather than suppress it, borrowing from biology's ability to use fluctuations to process signals efficiently.
That approach would combine neuromorphic and quantum-inspired architecture, in contrast to classical and quantum systems that typically rely on robust signals or cryogenic cooling to overcome noise.
If successful, the work could point to a new path for AI chips that cut power use by making every electron count.