Brains and Machines podcast
17th May, 2024
I had the privilege of speaking with Sunny Bains on the Brains and Machines podcast. Listen in to learn about SynSense low-power sensory processors, and Neuromorphics is 2024.
I had the privilege of speaking with Sunny Bains on the Brains and Machines podcast. Listen in to learn about SynSense low-power sensory processors, and Neuromorphics is 2024.
LIF neuron model
LIF neuron model
AI is extremely power-hungry. But brain-inspired computing units can perform machine learning inference at sub-milliWatt power. Learn about low-power computing architectures from SynSense, which use quantised spiking neurons for ML inference. I presented this slide deck at the UWA Computer Science seminar in Perth.
Learn how to build and deploy a spiking neural network with Rockpool and Xylo.
Ocean scene
Ocean scene
In the last post, we saw that spike generation can cause major issues with gradient descent, by completely zeroing the gradients. We also learned how to get around this issue by faking the neuron output by making a spiking surrogate.
A rock pool
A rock pool
In the last post, we learned about how a spiking neuron differs from a common-or-garden Artificial Neuron. TL;DR: Spiking neurons understand time and have internal dynamics, Artificial Neurons don’t.