Michigan startup MemryX, Inc. promises faster, cheaper AI processingThe ECE startup builds neuromorphic computer chips uniquely suitable for AI applications
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.
Toward brain-like computing: New memristor better mimics synapses
Competition and cooperation, which regulate the strengthening and weakening of connections in the brain, can now be modeled directly.
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.
Wei Lu elected IEEE Fellow for contributions to neuromorphic systems
Prof. Lu is an internationally recognized leader in the development of memristors for memory and logic applications.
Next-gen computing inspired by biology
New memristor chips can see patterns over pixels.
The Lurie Nanofabrication FacilityIt Takes the Best to Serve the Best.
Wei Lu receives CoE David E. Liddle Research Excellence Award
Prof. Lu is an internationally recognized leader in the development of memristors for memory and logic applications. He has also developed nanowire transistors suitable for flexible electronics and opto-electronics.
The Lurie Nanofabrication Facility gets a new director
Prof. Wei Lu has been named the new director of the Lurie Nanofabrication Facility (LNF), effective September 1, 2016.
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.
3 ECE companies make the Silicon 60 List – again!
Ambiq Micro, Crossbar, Inc., and PsiKick, are leading the way in ultra-low power chip design, pioneering computer memory, and ultra-low power wireless sensor platforms.
Four ECE faculty selected for 2014-15 College of Engineering Awards
Congratulations to Profs Guo, Lafortune, Liu, and Lu!
Metal particles in solids aren’t as fixed as they seem, new memristor study shows
The findings show, for the first time, exactly how some memristors remember.
Image processing 1,000 times faster is goal of new $5M contract
Lu plans to design and fabricate a computer chip based on so-called self-organizing, adaptive neural networks.
Faster, more powerful mobile devices: U-M startup Crossbar could disrupt the memory market
RRAM is a new form of nonvolatile memory that has the potential to replace the flash memory commonly used in tablets, digital cameras and solid-state drives.
2013 EECS Outstanding Achievement AwardsThese annual awards recognize faculty's outstanding accomplishments in teaching, research, and service.
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.”
Next-generation computer memory firm receives U-Ms first startup investment
Crossbar is developing a new nonvolatile memory technology that will offer unprecedented density and power improvements in tomorrow’s electronics.
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.
Sung-Hyun Jo receives Silver Prize in SAMSUNG Human-Tech Thesis Prize
The Samsung HTP, established in 1994, is one of the most prestige thesis awards in Korea.