Hardware Podcasts

Why Computing With Time Gives Neuromorphic AI an Edge

EE Times Current · 18 Sept 2026 · 57m

What this episode covers

Dr. Ryad Benosman, co-founder of Prophesee and researcher at Johns Hopkins, explains why neuromorphic engineering and event-based vision offer a superior path for AI compared to traditional frame-based computer vision. He details his journey from pure mathematics to building event sensors, commercializing them through Prophesee, and developing retinal prosthetics using optogenetics and silicon implants. Benosman argues that computing with time allows for efficient, low-power processing that mimics biological systems, whereas current AI hits a wall due to power and data inefficiency.

Most relevant to

companies scaling up

Topics

Mentioned

Companies
Prophesee, Meta, Sony, DARPA, I AM Chip
Also
EPFL, Johns Hopkins University

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