Hardware Podcasts

Do Spikes Need Common Language for Sensing and Learning?

EE Times Current · 25 Aug 2026 · 1h 00m

What this episode covers

Dr. Sunny Bains chairs a panel at the University of Sussex featuring 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), and Dr. Sebastian Siegel (Peter Grünberg Institute, Jülich) to debate whether spikes provide a common language for sensing and learning. The panelists argue that while spikes offer energy efficiency, the field lacks a unified encoding scheme to integrate multimodal data, such as combining event-based vision with frame-based imaging or touch sensors. They discuss the commercial trajectory of neuromorphic engineering, highlighting early adoption in edge IoT and drones by companies like Okterov and Kinema, while emphasizing the need for co-design of hardware and algorithms to solve complex robotic tasks.

Most relevant to

early-stage companies

Topics

Mentioned

Companies
Italian Institute of Technology, Eindhoven University of Technology, University of Sussex, Institute of Neuroinformatics, Zurich, Peter Grünberg Institute, Jülich, University College London, Czech Technical University in Prague, Johns Hopkins University, Imperial College, Okterov, Kinema, Qualcomm, Prophecy
Products
event-based camera, dynamic vision sensor, event camera

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