Yongmo Park awarded IBM PhD fellowship to support his research on in-memory computing systemsPark 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
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
Memory-processing unit (MPU) could bring memristors to the masses
AI, weather forecasting and data science would all benefit from computers that store and process data in the same place. Memristors could be up to the task.
New quick-learning neural network powered by memristors
U-M researchers created a reservoir computing system that reduces training time and improves capacity of similar neural networks.
Next-gen computing inspired by biology
New memristor chips can see patterns over pixels.
Making Memory Smaller, Better, Faster, Stronger
Prof. Wei Lu and former student Dr. Sung Hyun Jo co-founded Crossbar, Inc. to tackle the physical limitations of conventional memory technology.
Artificial synapses could lead to advanced computer memory and machines that mimic biological brains
“This hybrid circuit is a critical advance in developing intelligent machines.”
Wei Lu receives CAREER Award
Lu was awarded an NSF CAREER grant for his research project, which intends to develop unconventional, high-performance memory and logic systems.