Machine Learning with SNNs for low-power inference


Presentation at UWA

3rd May, 2024

LIF neuron model

LIF neuron model

An LIF neuron as a small recurrent unit

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.

Machine Learning with SNNs for low-power inference


Presentation at UWA

3rd May, 2024

LIF neuron model

LIF neuron model

An LIF neuron as a small recurrent unit

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.

Hands-on with Rockpool and Xylo


OpenNeuromorphic 26th April 2023

26th April, 2023

Learn how to build and deploy a spiking neural network with Rockpool and Xylo.