Experimental demonstration and tolerancing of a large-scale neural network (165,000 synapses), using phase-change memory as the synaptic weight element
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2014
- IEDM 2014
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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9 results for J. Jang
Optimization of conductance change in Pr1-xCaxMnO3-based synaptic devices for neuromorphic systems
- J. Jang
- Sangsu Park
- et al.
- 2015
- IEEE Electron Device Letters
Non-filamentary non-volatile memory elements as synapses in neuromorphic systems
- Alessandro Fumarola
- Yusuf Leblebici
- et al.
- 2019
- NVMTS 2019
Reducing circuit design complexity for neuromorphic machine learning systems based on Non-Volatile Memory arrays
- Pritish Narayanan
- Lucas L. Sanches
- et al.
- 2017
- ISCAS 2017
Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs
- Alessandro Fumarola
- Pritish Narayanan
- et al.
- 2016
- ICRC 2016
Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response
- S. Sidler
- Irem Boybat
- et al.
- 2016
- ESSDERC 2016
Bidirectional Non-Filamentary RRAM as an Analog Neuromorphic Synapse, Part II: Impact of Al/Mo/Pr0.7Ca0.3MnO3 Device Characteristics on Neural Network Training Accuracy
- Alessandro Fumarola
- S. Sidler
- et al.
- 2018
- IEEE J-EDS
Bidirectional non-filamentary RRAM as an analog neuromorphic synapse, Part I: Al/Mo/Pr0.7Ca0.3MnO3 material improvements and device measurements
- K. Moon
- Alessandro Fumarola
- et al.
- 2018
- IEEE J-EDS
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
- Geoffrey W. Burr
- Robert M. Shelby
- et al.
- 2015
- IEEE T-ED