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Workshop on Deep Learning in Unconventional Neuromorphic Hardware. Call for abstracts

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

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