
Why Computing with Time Gives Neuromorphic AI an Edge
Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups. A co-founder of Prophesee, he explains why he believes AI’s future must come from neuromorphic engineering. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. [FULL TRANSCRIPT BELOW] Ryad Benosman Announcer: Welcome to Brains and Machines, a deep dive into neuromorphic engineering and biologically inspired technology.
- ▪Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups.
- ▪A co-founder of Prophesee, he explains why he believes AI’s future must come from neuromorphic engineering.
- ▪Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University. [FULL TRANSCRIPT BELOW] Ryad Benosman Announcer: Welcome to Brains and Machines, a deep dive into neuromorphic e
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| Original publisher | EE Times |
| Canonical URL | https://www.eetimes.com/podcasts/why-computing-with-time-gives-neuromorphic-ai-an-edge/ |
| Publication time | Thu, 24 Sep 2026 13:25:40 +0000 |
| Retrieval time | 2026-09-24T13:35:27.001Z |
| Last seen | 2026-09-24T13:35:27.001Z |
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Share Post Share on Facebook Share on Twitter Articles Discussed: The first steps in seeing (Rodieck) The plenoptic function and the elements of early vision HOTS: A Hierarchy Of event-based Time-Surfaces for pattern recognition STICK: Spike Time Interval Computational Kernel, a framework for general purpose computation using neurons, precise timing, delays, and synchrony Assessment of optogenetically-driven strategies for prosthetic restoration of cortical vision in large-scale neural simulation of V1 In this month’s Brains and Machines, Dr. Ryad Benosman discusses event-based vision, retinal prosthetics, and neuromorphic startups. A co-founder of Prophesee, he explains why he believes AI’s future must come from neuromorphic engineering. Discussion follows with Dr.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at EE Times.