We invite our Fellows to take part at Workshop on Deep Learning in Unconventional Neuromorphic Hardware. Deadline for abstracts is April 30, 2021. You can submit abstract here.
List of topics:
- Deep Learning concepts for neuromorphic implementations:
- Deep Neural Networks based on linear dynamics and/or partially untrained layers
- Neural ODEs and Continuous-depth neural architectures
- Spiking Neural Networks
- Noise-engineering
- Learning in deep neural architectures beyond Backpropagation
- Computational and neuromorphic concepts, including
- Analogue and distributed computing
- Quantum hardware reservoirs
- Unconventional and next generation hardware:
- In memory computing
- Massively parallel hardware networks
- 3D integrated Neural Network integration
- Photonic computing
Webpage of the workshop is: https://events.femto-st.fr/DLUNH/en
