Optimised weight programming for analogue memory-based deep neural networks
- Charles Mackin
- Malte Rasch
- et al.
- 2022
- MRS Fall Meeting 2022
Geoffrey W. Burr received his Ph.D. in Electrical Engineering from the California Institute of Technology in 1996. Since that time, Dr. Burr has worked at IBM Research--Almaden in San Jose, California, where he is currently a Distinguished Research Scientist. He has worked in a number of diverse areas, including holographic data storage, photon echoes, computational electromagnetics, nanophotonics, computational lithography, phase-change memory, storage class memory, and novel access devices based on Mixed-Ionic-Electronic-Conduction (MIEC) materials. Dr. Burr's current research interests involve AI/ML acceleration using non-volatile memory. Geoff is an IEEE Fellow (2020), and is also a member of MRS, SPIE, OSA, Tau Beta Pi, Eta Kappa Nu, and the Institute of Physics (IOP).