no code implementations • 20 Oct 2023 • Jaeseoung Park, Ashwani Kumar, Yucheng Zhou, Sangheon Oh, Jeong-Hoon Kim, Yuhan Shi, Soumil Jain, Gopabandhu Hota, Amelie L. Nagle, Catherine D. Schuman, Gert Cauwenberghs, Duygu Kuzum
To address all these challenges, we developed a forming-free and bulk switching RRAM technology based on a trilayer metal-oxide stack.
no code implementations • 25 Dec 2015 • Sukru Burc Eryilmaz, Duygu Kuzum, Shimeng Yu, H. -S. Philip Wong
This paper gives an overview of recent progress in the brain inspired computing field with a focus on implementation using emerging memories as electronic synapses.
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.
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.