Roadmap

The UK Neuromorphic Computing Roadmap

Neuromorphic, or brain-inspired, computing takes its cue from how biological nervous systems process information — combining memory and processing the way neurons and synapses do, and computing only when something happens. Done right, it lets AI and complex data-processing run at very low latency, using a fraction of the energy conventional computers need. The global market is forecast to grow from $5.3bn in 2023 to $20bn by 2030, and the UK has a real opportunity to lead in safe, sustainable, brain-inspired computing.

Getting there needs strategic direction the whole community can align behind. That's what our roadmap work is for.

Our approach

NeuroSYNC — the UK Multidisciplinary Centre for Neuromorphic Systems and Computing, led by Aston University and backed by £5.6 million from UKRI — is developing the roadmap through our centre teams, working across two connected strands.

Research foundations

Structured around six interconnected chapters. Published open access, updated annually as the field moves, with selected chapters developed further for peer-reviewed journals.

Industrial applications

Shifts the focus from what's scientifically possible to what industry actually needs to commit capital — the technical, economic and manufacturing thresholds neuromorphic systems must cross for enterprise-scale adoption. Rather than a fixed list of use cases, it sets out strategic themes for discussion: sovereign edge hardware for secure supply chains, optical neural networks for telecoms capacity, probabilistic solvers for logistics and energy optimisation, high-speed AI control loops for smart manufacturing, and energy-autonomous systems for healthcare and bio-sensing. The aim is to work with industry to set hard technical red lines — power, latency, throughput, legacy-integration requirements — and identify what's needed to cross the commercial "valley of death."

Both strands are living documents — the first published versions won't be the final word, but versions mature enough to invite the next round of challenge.

Grounded in independent evidence

Alongside our own engagement, we're drawing on independent evidence about where the UK actually stands. A SWOT analysis of UK neuromorphic technology — commissioned by the Netherlands Innovation Network UK and NeuMat, published October 2025 — sets out the country's strengths (world-class academic research, a vibrant startup ecosystem, flagship assets like SpiNNaker, Arm and DeepMind), the weaknesses holding the field back (a funding "valley of death" between prototype and scale-up, limited testbeds and manufacturing infrastructure, and fragmented definitions of "neuromorphic" itself), and the opportunities ahead, including closer UK–Netherlands and EU collaboration. This evidence base directly informs our chapter priorities and the case we make to funders and policymakers.

In parallel, Parliament is asking some of the same questions. The House of Commons Science, Innovation and Technology Committee has opened a "Low-energy computing" inquiry, examining whether neuromorphic computing and silicon photonics can help address the energy demands of AI, and assessing the UK's sovereign capabilities in the area. We're following it closely and feeding in evidence where relevant. See the inquiry and its publications →