Memristor demonstrates use in fully analog hardware-based neural network
r/artificial
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Machine Learning
"As AI processing demands reach the limits of current CMOS technology, neuromorphic computing - hardware and software that mimic the human brain's structure - can help process information faster and efficiently. A new memristor made from 2D layers of bismuth selenide combines long-term data retention and analog tuning to enhance AI energy efficiency and processing speed. The University of Michigan Engineering study is published in ACS Nano.