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... » read more

Three-Terminal Memtransistors for Decentralized Edge Applications (Penn State, NIWC)


A new technical paper titled "Large-scale crossbar arrays based on three-terminal MoS2 memtransistors" was published by researchers at Penn State University and Naval Information Warfare Center Pacific. Abstract "Memristive crossbar architectures are promising as efficient, low-power inference engines for edge AI applications. However, inputs with minor differences often yield similar outpu... » read more

Hardware Platform Based on 2D Memtransistors


A new technical paper titled "Hardware implementation of Bayesian network based on two-dimensional memtransistors" from researchers at Penn State University. "In this work, we demonstrate hardware implementation of a BN [Bayesian networks] using a monolithic memtransistor technology based on two-dimensional (2D) semiconductors such as monolayer MoS2. First, we experimentally demonstrate a lo... » read more

“All-in-One” 8×8 Array of Low-Power & Bio-inspired Crypto Engines w/IoT Edge Sensors Based on 2D Memtransistors


New technical paper titled "All-in-one, bio-inspired, and low-power crypto engines for near-sensor security based on two-dimensional memtransistors" from researchers at Penn State University. Abstract: "In the emerging era of the internet of things (IoT), ubiquitous sensors continuously collect, consume, store, and communicate a huge volume of information which is becoming increasingly vuln... » read more