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.

Read more…

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.

Read more…

On 28th April 2025 the European Brain Council published the European Charter for the Responsible Development of Neurotechnologies. I was invited to join the working group as an industry expert, due to my neuroscience background and my work at SynSense on ultra-low-power AI.

Read more…

In 2017, Neuromorphic engineering was in a similar state as ANN research in 2004. Moving GPUs into mainstream compute required a confluence of three things: hardware optimised for a basic computational element, a useful programming model, and the API and tooling to make deployment easy. In this talk I argue that Neuromorphic processors can follow the same path, with gradient descent as the programming model and simple integrate-and-fire neurons as the computational element, drawing on our experience commercialising SNN hardware at SynSense. I also discuss what the academic community can do to support widespread adoption of Neuromorphic compute. I presented this talk remotely at the Bernstein Conference 2024.

Read more…

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.

Read more…