All-optical spiking neurosynaptic networks with self-learning capabilities
Johannes Feldmann, Nathan Youngblood, C. David Wright, Harish Bhaskaran, Wolfram H. P. Pernice
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- Photonics for artificial intelligence and neuromorphic computing→All-optical spiking neurosynaptic networks with self-learning capabilitiesLegacy edge — source detail unavailable
- 11 TOPS photonic convolutional accelerator for optical neural networks→All-optical spiking neurosynaptic networks with self-learning capabilitiesLegacy edge — source detail unavailable
- Photonics for artificial intelligence and neuromorphic computing→All-optical spiking neurosynaptic networks with self-learning capabilitiesLegacy edge — source detail unavailable
- All-optical spiking neurosynaptic networks with self-learning capabilities→Deep learning with coherent nanophotonic circuitsLegacy edge — source detail unavailable
- Photonics for artificial intelligence and neuromorphic computing→Deep learning with coherent nanophotonic circuitsLegacy edge — source detail unavailable
- 11 TOPS photonic convolutional accelerator for optical neural networks→Deep learning with coherent nanophotonic circuitsLegacy edge — source detail unavailable
- Photonics for artificial intelligence and neuromorphic computing→Deep learning with coherent nanophotonic circuitsLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Deep learning with coherent nanophotonic circuits | 2017 | 3,187 |
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Topics
| Neural Networks and Reservoir Computing | Computer Science |
| Advanced Memory and Neural Computing | Engineering |
| Photonic and Optical Devices | Engineering |
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