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Sustainable Fungal Memristors for Neuromorphic and Eco-Friendly Computing
TS-072329 — The Need The rapid growth of artificial intelligence and neural networks is driving unprecedented demand for energy-efficient, scalable hardware. Conventional memristors require rare earths and complex fabrication, contributing to electronic waste and limiting accessibility. There is a critical need…
  • College: College of Engineering (COE)
  • Inventors: LaRocco, John; Hill, Justin; Simonis, John; Tahmina, Qudsia
  • Licensing Officer: Randhawa, Davinder

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