Oh joy, another “revolution” in AI where we pretend our computers are brains, except they're not, and they never will be. Let's burn through enough electricity to power a small galaxy and then claim we're saving energy. Neuromorphic computing: when marketing meets science fiction.
https://www.lanl.gov/media/publications/1663/1269-neuromorphic-computing #AIrevolution #neuromorphiccomputing #marketingvsreality #energyconsumption #sciencefiction #HackerNews #ngated

Neuromorphic chip spotted in the wild:

"Real-time sub-milliwatt epilepsy detection implemented on a spiking neural network edge inference processor", by Li et al. 2024 with @DylanMuir
https://www.sciencedirect.com/science/article/pii/S0010482524013106

"The SNN model was deployed on Xylo, a digital SNN neuromorphic processor designed to process temporal signals. Xylo efficiently simulates spiking leaky integrate-and-fire neurons with exponential input synapses. Xylo has much lower energy requirements than traditional approaches to signal processing"

"the application has an average power consumption of 87.4 microW (IO power) + 287.9 microW (compute power) when deployed to Xylo"

SPIKING NEURAL NETWORKS!

If you love them, join us at SNUFA24. Free, online workshop, Nov 5-6 (2-6pm CET). Usually ~700 participants.

Invited speakers: Chiara Bartolozzi, David Kappel, Anna Levina, Christian Machens

Posters + 8 contributed talks selected by participant vote.

Abstract submission is quick and easy (300 word max), and now open until the deadline Sept 27.

Registration is free, but mandatory.

Hope to see you there!

https://snufa.net/2024/

For friends of #neuromorphicComputing, we are happy that our new idea, spearheaded by Clara Wanjura, is now published in #NaturePhysics. It shows how to take a linear optical device and turn it into a fully nonlinear neuromorphic device which can be trained efficiently.

https://www.nature.com/articles/s41567-024-02534-9

Neuromorphic computing is all about possible paths towards replacing energy-hungry digital artificial neural networks by more physics-based devices.
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The dendristor: neuromorphic computing with in silico neuronal arbours instead of point neurons.

https://www.nature.com/articles/s41928-024-01171-7

We built a ‘brain’ from tiny silver wires. It learns in real time, more efficiently than computer-based AI | The Conversation https://theconversation.com/we-built-a-brain-from-tiny-silver-wires-it-learns-in-real-time-more-efficiently-than-computer-based-ai-216730

Online dynamical learning and sequence memory with neuromorphic nanowire networks | Nature Communications https://www.nature.com/articles/s41467-023-42470-5
#openaccess #neuromorphiccomputing