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Research project

International Centre for Spatial Computational Learning

Lead researcher:
Other researchers:
Research funder:
EPSRC
Status:
Active

Project overview

The Centre for Spatial Computational Learning is an international collaborative research centre, bringing together experts from Imperial College, the University of Southampton, the University of Toronto, and the University of California Los Angeles.

The rise of the Deep Neural Network as an increasingly universal paradigm of computation has been the defining feature across much of computing in the last few years. At the same time, the traditional von Neumann processor paradigm is being challenged by the rise of hardware spatial computational accelerators, such as FPGAs, which face serious usability and programmability challenges. The deep learning application domain is narrow enough to allow us to reconsider the entire stack of spatial compute, from arithmetic circuits to cloud-based systems, in an integrated and domain-specific manner. We have strong expertise across the breadth of this space. Our joint research centre has the potential to put the UK's expertise at the centre of the technology revolutionising the way high performance and low energy computation is specified and delivered, opening opportunities from ultra-low energy machine learning in internet of things devices through to powering scientific discovery in high-end server farms.

This centre marks a break-through in international coordination of research in the field. We: (a) work together to evolve a joint research strategy, (b) deliver elements of that joint research strategy through the staff employed on this grant as well as through academic staff and PhD students in all institutions, (c) facilitate a managed researcher exchange programme through funding exchange / secondment expenses for investigators and visiting researchers, as well as supporting secondments to/from industry, (d) hold annual showcase events of our work, and (e) deliver high-quality R&D and STEM advocacy outreach.

By the end of the project, we expect to have a self-sustaining momentum of internationally-coordinated research, incorporating the initial investigators, but extending beyond to new groups and the network of SMEs developing in this area.

Staff

Lead researcher

Professor Geoff Merrett PhD, BEng, PGCert, FHEA, SMIEEE, MIET

Personal Chair

Research interests

  • Energy management of mobile/embedded systems
  • Self-powered computing

Connect with Geoff

Other researchers

Professor Jonathon Hare

Professor

Research interests

  • My main research interests lie in the area of representation learning. The long-term goal of my research is to innovate techniques that can allow machines to learn from and understand the information conveyed by data and use that information to fulfil the information needs of humans.  Broadly speaking this can be broken down into the following areas:
  • Novel representation: I have worked on a number of different approaches to creating novel representations from data. These include:

Connect with Jonathon

Collaborating research institutes, centres and groups

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