The road to commercial success for neuromorphic technologies

Perspective in Nature Communications (2025)

15th April, 2025

Neuromorphic technologies adapt biological neural principles to synthesise high-efficiency computational devices, characterised by continuous real-time operation and sparse event-based communication. After several false starts, a confluence of advances now promises widespread commercial adoption. Ultra-low-power Neuromorphic technology will find a home in battery-powered systems, local compute for internet-of-things devices, and consumer wearables. Inspiration from uptake of tensor processors and GPUs can help the field overcome remaining hurdles.

Governing autonomous systems at machine speed

An interview on AI governance and LexChip

5th August, 2026

Humans are not capable of practically overseeing the actions of autonomous systems, as these accelerate and proliferate. In this interview I talk about governing autonomous systems by their behaviour, in the same way the law governs humans, and how LexChip uses consent-based smart legal contracts to bring real-time oversight, breach detection and a legally admissible record to autonomous AI deployments.

Spikes, wiring, and general principles

An interview on neuroscience and spiking neural networks

29th July, 2026

Is spike timing essential to cortical computation, or just an efficient way to transmit information? In this interview I discuss moving from modelling cortical computation in academia to engineering spiking neural networks at SynSense; the search for general principles in neocortex; and what a complete connectome would and would not tell us.