Research Bits: July 14

Cerebellum-inspired memtransistor Researchers from Northwestern University and University of Illinois at Chicago developed a cerebellum-inspired memtransistor for anomaly detection that ignores expected inputs and rapidly detects unexpected events while using less energy than conventional AI. “Today’s AI is remarkably good at recognizing patterns, but it often spends enormous amounts of computing power to continuously analyze streams of data—even when nothing has changed,” said Mark Hersam, a pr