Episode
Do Spikes Need Common Language for Sensing and Learning?
- Podcast
- EE Times Current
- Published
- Aug 25, 2026
- Duration seconds
- 3649
- Processing state
not_requested- Canonical source
- https://podcast.show/aspencore/episode/155136703/
Actions
POST https://stenobird.com/v1/public/podcasts/ee-times-current-709434/episodes/do-spikes-need-common-language-for-sensing-and-learning/transcription-requests
Idempotently request low-priority transcript generation for this episode.GET https://stenobird.com/podcast/ee-times-current-709434/do-spikes-need-common-language-for-sensing-and-learning.md
Read the agent-friendly Markdown representation of this episode resource.
Summary
On this month's episode of Brains and Machines, five engineers debate neuromorphic sensing and learning. Recorded at the Neuromorphic Hardware and Algorithms conference at the University of Sussex, the panel explores whether events and spikes are the right framework for integrating sensor modalities, motor control, and learning across systems. They also examine commercial directions and revisit the perennial question: what is neuromorphic engineering? The panelists are: Dr. Chiara Bartolozzi (Italian Institute of Technology) Dr. Federico Corradi (Eindhoven University of Technology) Dr. James Knight (University of Sussex) Dr. Laura Kriener (Institute of Neuroinformatics, Zurich) Dr. Sebastian Siegel (Peter Grünberg Institute, Jülich) The session is chaired by Dr. Sunny Bains (University College London), followed by a discussion with Dr. Giulia D’Angelo (Czech Technical University in Prague) and Professor Ralph Etienne-Cummings (Johns Hopkins University).