Solving the challenges of deep learning on neuromorphic systems

Owned by Andreas Wild
Last updated: Feb 12, 2021
1 min read

Presenters:

@Andreas Wild@Garrick Orchard (Deactivated)

Abstract:

In this panel discussion, leaders in the field will assess the general challenges and opportunities of deep learning on neuromorphic systems from both an algorithm and HW perspective. The goal of this session is to identify what algorithmic questions the community should address and how neuromorphic systems must evolve accordingly.

Panel participants:

  • Guillaume Bellec

  • Wolfgang Maass

  • Konstantinos Michmizos

  • Emre Neftci

  • Priya Panda

  • Qinru Qiu

  • Kaushik Roy

  • Walter Senn

  • Friedemann Zenke

Panel topics will be posted soon.

Online Content

https://intel-ncl.atlassian.net/wiki/spaces/INRC/pages/1080328193/Tutorials+and+Related+Presentations?atlOrigin=eyJpIjoiZjNkNTg4ODFiOGVkNDJiOTkzODkzNzg3ZjQ1ZDU5ODUiLCJwIjoiYyJ9

Pre-requisites/

co-requisites

Recording of “Latest DNN Results on Loihi” session

Recording

Session recording

Link to Presentation

Slides

Please use the comment section on this page to ask questions or comment about this specific presentation.

Feel free to propose panel topics/questions as comments below and we will consider them as part of the agenda.