From lab to life – atomic-scale memristors pave the way for brain-like AI and next-gen computing power

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  • Memristors to bring brain-like computing to AI systems
  • Atomically tunable devices offer energy-efficient AI processing
  • Neuromorphic circuits open new possibilities for artificial intelligence

A new frontier in semiconductor technology could be closer than ever after the development of atomically tunable “memristors” which are cutting-edge memory resistors that emulate the human brain’s neural network.

With funding from the National Science Foundation’s Future of Semiconductors program (FuSe2), this initiative aims to create devices that enable neuromorphic computing – a next-generation approach designed for high-speed, energy-efficient processing that mimics the brain’s ability to learn and adapt.

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