Training a Probabilistic Graphical Model with Resistive Switching Electronic Synapses

no code implementations • 27 Sep 2016 • S. Burc Eryilmaz, Emre Neftci, Siddharth Joshi, Sang-Bum Kim, Matthew BrightSky, Hsiang-Lan Lung, Chung Lam, Gert Cauwenberghs, H. -S. Philip Wong

Current large scale implementations of deep learning and data mining require thousands of processors, massive amounts of off-chip memory, and consume gigajoules of energy.

Brain-like associative learning using a nanoscale non-volatile phase change synaptic device array

no code implementations • 19 Jun 2014 • Sukru Burc Eryilmaz, Duygu Kuzum, Rakesh Jeyasingh, Sang-Bum Kim, Matthew BrightSky, Chung Lam, H. -S. Philip Wong

Recent advances in neuroscience together with nanoscale electronic device technology have resulted in huge interests in realizing brain-like computing hardwares using emerging nanoscale memory devices as synaptic elements.

Experimental Demonstration of Array-level Learning with Phase Change Synaptic Devices

no code implementations • 29 May 2014 • S. Burc Eryilmaz, Duygu Kuzum, Rakesh G. D. Jeyasingh, Sang-Bum Kim, Matthew BrightSky, Chung Lam, H. -S. Philip Wong

We demonstrate, in hardware, that 2-D crossbar arrays of phase change synaptic devices can achieve associative learning and perform pattern recognition.