# Can Neuromorphic Be Low-Power, Reconfigurable, and Scalable?

Page: https://stenobird.com/podcast/ee-times-current-709434/can-neuromorphic-be-low-power-reconfigurable-and-scalable
Text version: https://stenobird.com/podcast/ee-times-current-709434/can-neuromorphic-be-low-power-reconfigurable-and-scalable.md
Podcast: [EE Times Current](https://stenobird.com/podcast/ee-times-current-709434)
Published: 2025-07-14T22:25:25+00:00
Episode link: https://podcast.show/aspencore/episode/147034025/
Audio file: https://media.blubrry.com/aspencore/content.blubrry.com/aspencore/AspenCore_EETC_B_MEP30_GertCauwenberghs_071425.mp3
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JSON: https://stenobird.com/v1/public/podcasts/ee-times-current-709434/episodes/can-neuromorphic-be-low-power-reconfigurable-and-scalable
Duration seconds: 3031

## Resource

Professor Gert Cauwenberghs has been working toward building brain-scale systems for decades. At the University of California San Diego, he’s now one of the leaders of the Neuromorphic Commons hub, also known as Thor, which will give the wider community access to neuromorphic hardware and simulators. In this episode of Brains and Machines , he talks to Dr. Sunny Bains of University College London about his approach to making systems that use minimal energy, are highly interconnected at all levels, and are surprisingly flexible. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

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