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physics.app-ph2019
Roadmap on Material-Function Mapping for Photonic-Electronic Hybrid Neural Networks
Mario Miscuglio, Gina C. Adam, Duygu Kuzum +1
Driven by machine-learning tasks neural networks have demonstrated useful capabilities as nonlinear hypothesis classifiers. The underlying technologies performing the dot product m…
cs.LG2019★ 16 cited
Streaming Batch Eigenupdates for Hardware Neuromorphic Networks
Brian D. Hoskins, Matthew W. Daniels, Siyuan Huang +5
Neuromorphic networks based on nanodevices, such as metal oxide memristors, phase change memories, and flash memory cells, have generated considerable interest for their increased…