Sunny talks to Prof Gert Cauwenberghs, who has been working towards building brain-scale systems for decades. At the University of California at 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. Here he talks about his approach to making systems that use minimal energy, are highly-interconnected at all levels, and surprisingly flexible. After the interview, discussion follows with Giulia and Ralph.
Articles and Papers
- Reverse engineering the cognitive brain
- Hierarchical Address Event Routing for reconfigurable large-scale neuromorphic systems
- HiAER-Spike: hardware-software co-design for large-scale reconfigurable event-driven neuromorphic computing
- A compute-in-memory chip based on resistive random-access memory
- Neuromorphic computing at scale
- Earable multimodal sensing and stimulation: a prospective toward unobtrusive closed-loop biofeedback
- In-ear integrated sensor array for the continuous monitoring of brain activity and of lactate in sweat
From the discussion
- Learning on silicon: Adaptive VLSI neural systems
- A biomorphic digital image sensor
- RISC versus CISC
- Neuromorphic and digital hybrid systems
- VIDEO: What is meant by Neuromorphic Computing – A webinar debate from IOP Publishing
Episode Credits
Producer/Writer: Sunny Bains
Co-hosts: Sunny Bains and Giulia D’Angelo
Editor: Rose Gotto
Audio Production: Taylor Marvin, Coupe Studios Music and Sound Design
Music: 3 of Diamonds by Matt Harris
For EETimes.com
This episode is produced in conjunction with EETimes. Podcast reproduced with permission.
