2 citations · 2 across the 1 of their papers we have counts for
3 papers
Memory-efficient training with streaming dimensionality reduction
Siyuan Huang, Brian D. Hoskins, Matthew W. Daniels +2
The movement of large quantities of data during the training of a Deep Neural Network presents immense challenges for machine learning workloads. To minimize this overhead, especia…
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…
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…