Aston University to Lead Brain-Inspired Tech Hub

The UK will get a new centre to pioneer brain-inspired, energy-efficient computing technologies. The UK Multidisciplinary Centre for Neuromorphic Computing, led by Aston University, will receive £5.6 million over four years from the UKRI Engineering and Physical Sciences Research Council (EPSRC).

Professor Sergei K. Turitsyn, Director of the Centre and AIPT

The centre aims to become a focal point for networking and collaboration on fundamental research and technology of neuromorphic computing, addressing the sustainability challenges facing today’s digital infrastructure and artificial intelligence systems.

The centre will be led by the Aston Institute of Photonic Technologies (AIPT) and include world-leading researchers from Aston University, the University of Oxford, the University of Cambridge, the University of Southampton, Queen Mary University of London, Loughborough University, and the University of Strathclyde. 

Neuromorphic computing seeks to replicate the brain’s structural and functional principles. However, scientists lack a deep, system-level understanding of how the human brain computes at cellular and network scales.

The researchers aim to tackle that challenge directly, blending stem-cell-derived human neuron experiments with advanced computational models, low-power algorithms, and novel photonic hardware.

The centre will be supported by a broad network of industry partners, including Microsoft Research, Thales, BT, Qinetiq, Nokia Bell Labs, Hewlett-Packard Labs, Leonardo, Northrop Grumman, and several small to medium enterprises. Their contributions will focus on enhancing the centre’s impact on society.

Professor Rhein Parri, co-director and neurophysiologist at Aston University, said: “For the first time, we can combine the study of living human neurons with that of advanced computing platforms to co-develop the future of computing. 

“This project is an exciting leap forward, learning from biology and technology in ways that were not previously possible.”

The experts aim to co-design brain-inspired neuromorphic systems by studying human neuronal function using the latest human induced pluripotent stem cell (hipsc) technologies and developing new computational paradigms and low-power AI algorithms. They also plan to create devices and hardware inspired by biological systems, like the human brain.

These devices will use light – or photonic hardware – to process information. This approach will be the next big step in making computing more energy-efficient and capable of handling many tasks simultaneously. They also aim to create a sustainable UK research ecosystem through training, road mapping, and international collaboration.

The UK Multidisciplinary Centre for Neuromorphic Computing is led by Aston University and will receive £5.6 million over four years from the UKRI Engineering and Physical Sciences Research Council (EPSRC).

Neuromorphic computing seeks to replicate the brain’s structural and functional principles. However, scientists lack a deep, system-level understanding of how the human brain computes at cellular and network scales.

The centre team includes world-leading researchers with broad and complementary expertise in neuroscience, non-conventional computing algorithms, photonics, opto- and nano-electronics, and materials science. In collaboration with policymakers and industrial partners, the scientists and engineers aim to demonstrate neuromorphic computing's capabilities across various sectors and applications.

Professor Natalia Berloff, co-director of the centre based at the University of Cambridge, said: “One of the most exciting aspects of neuromorphic computing is the potential of photonic hardware to deliver truly brain-like efficiency. 

“Light-based processors can exploit massive parallelism and ultrafast signal propagation to outperform conventional electronics on demanding AI workloads, while consuming far less power. By combining these photonic architectures with insights from living human neurons, we aim to co-design neuromorphic systems that move beyond incremental improvements and toward a genuinely transformative computing paradigm.”

In addition, the researchers aim to tackle the increasing global energy footprint of information and communication technologies, which is developing at an unsustainable pace, driven partly by the explosive growth of artificial intelligence.

Today’s AI systems are built on traditional computing hardware with increasingly high power consumption (kW), posing a barrier to scalability and sustainability. In contrast, the human brain performs complex computation and communication tasks using just 20 watts.

The centre’s ambition goes beyond technology development. It aims to serve as a foundation for a long-term, interdisciplinary research ecosystem, actively expanding its membership and reach over time.

It seeks to establish a sustainable centre that will continue to be a focal point for the community and thrive beyond the initial funding period, reinforcing innovation, partnership, and impact in the field of neuromorphic computing.