Jang, Junwoo
IBM Research - Almaden
5 papers on CoChatORCID 0000-0001-5773-0192
Most cited papers
- Verified
Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element
Burr, G. W., Shelby, R. M., Sidler, S., di Nolfo, C., Jang, J., Boybat, I., Shenoy, R. S., Narayanan, P., Virwani, K., Giacometti, E. U., et al. (2015) · IEEE Transactions on Electron Devices
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 936
- Verified
Neuromorphic speech systems using advanced ReRAM-based synapse
Park, S., Sheri, A., Kim, J., Noh, J., Jang, J., Jeon, M., Lee, B., Lee, B. R., Lee, B. H., & Hwang, H. (2013) · 2013 IEEE International Electron Devices Meeting
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 201
- Verified
RRAM-based synapse for neuromorphic system with pattern recognition function
Park, S., Kim, H., Choo, M., Noh, J., Sheri, A., Jung, S., Seo, K., Park, J., Kim, S., Lee, W., et al. (2012) · 2012 International Electron Devices Meeting
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 191
- Verified
Large-scale neural networks implemented with Non-Volatile Memory as the synaptic weight element: Impact of conductance response
Sidler, S., Boybat, I., Shelby, R. M., Narayanan, P., Jang, J., Fumarola, A., Moon, K., Leblebici, Y., Hwang, H., & Burr, G. W. (2016) · 2016 46th European Solid-State Device Research Conference (ESSDERC)
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 47
- Verified
Accelerating machine learning with Non-Volatile Memory: Exploring device and circuit tradeoffs
Fumarola, A., Narayanan, P., Sanches, L. L., Sidler, S., Jang, J., Moon, K., Shelby, R. M., Hwang, H., & Burr, G. W. (2016) · 2016 IEEE International Conference on Rebooting Computing (ICRC)
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 37
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