Conference paper
TrueHappiness: Neuromorphic emotion recognition on TrueNorth
Peter U. Diehl, Bruno U. Pedroni, et al.
IJCNN 2016
The Deep Neural Network (DNN) era was ushered in by the triad of algorithms, big data, and more powerful hardware processors for training large-scale neural networks. Now, the ubiquitous deployment of DNNs for neural inference in edge, embedded, and data center applications demands more power-efficient hardware processors, while attaining increasingly higher computational performance. To address this Inference Challenge, we developed the NorthPole Architecture and implemented a NorthPole Chip instantiation [1, 2].
Peter U. Diehl, Bruno U. Pedroni, et al.
IJCNN 2016
Dharmendra S. Modha, Filipp Akopyan, et al.
HCS 2023
Dharmendra S. Modha, Filipp Akopyan, et al.
Science
John V. Arthur, Paul A. Merolla, et al.
IJCNN 2012