Memristor
Pinaki Mazumder co-authors new book: Memristive Computing
The book explores the application of memristive computing to cryptography, signal processing, collective behavior, and more.ECE faculty design chips for efficient and accessible AI
Faculty specializing in architecture, hardware, and software innovation accelerate machine learning across a range of applications.Energy-efficient AI chip
Wei Lu and a large multi-institution team developed an energy efficient AI chip, which is a tunable and stable memristor based on entropy-stabilized oxides.AI chips could get a sense of time
Timekeeping in the brain is done with neurons that relax at different rates after receiving a signal; now memristors—hardware analogues of neurons—can do that tooWei Lu named James R. Mellor Professor of Engineering
Lu is internationally renowned for his pioneering efforts in the development and commercialization of novel electrical devices, specifically memristors for memory and logic applications.Mike Flynn named Fawwaz T. Ulaby Collegiate Professor of Electrical and Computer Engineering
Flynn is one of the world’s premier scholars of analog and mixed-signal integrated circuits and systems, analog-to-digital conversion (ADC), and other interface circuits.Yongmo Park awarded IBM PhD fellowship to support his research on in-memory computing systems
Park works with Prof. Wei Lu on advancing resistive random-access memory (RRAM, or memristor) devices to accelerate AI computing.First programmable memristor computer aims to bring AI processing down from the cloud
Memory-processing unit (MPU) could bring memristors to the masses
New quick-learning neural network powered by memristors
Next-gen computing inspired by biology
Making Memory Smaller, Better, Faster, Stronger
Artificial synapses could lead to advanced computer memory and machines that mimic biological brains
Wei Lu receives CAREER Award