| EPSRC Reference: |
EP/N035127/1 |
| Title: |
LAMBDA: Learning Algorithms for Modularity in Broad and Deep Architectures |
| Principal Investigator: |
Brown, Professor G |
| Other Investigators: |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Computer Science |
| Organisation: |
University of Manchester, The |
| Scheme: |
Standard Research |
| Starts: |
01 September 2016 |
Ends: |
31 May 2021 |
Value (£): |
521,154
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Computer Sys. & Architecture |
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| EPSRC Industrial Sector Classifications: |
| Electronics |
Information Technologies |
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| Related Grants: |
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| Panel History: |
| Panel Date | Panel Name | Outcome |
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28 Apr 2016
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EPSRC ICT Prioritisation Panel - Apr 2016
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Announced
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Summary on Grant Application Form |
Do you know how Facebook recognises faces in images? Do you know how your iPhone understands your speech? The secret behind each of these is a technology called "Deep Learning", which uses biologically-inspired algorithms called "neural networks".
Over the next decade, society will become more reliant on this technology. But... these algorithms require an IMMENSE amount of computing power, and therefore electricity, and for example can take many weeks to learn a given task.
The LAMBDA project explores an approach to deep learning which is not just deep, but also broad - hence "Learning Algorithms for Broad and Deep Architectures". We aim to (1) make "broad" models that are faster/easier to learn, and as a consequence (2) reduce the energy consumption. Our approach builds upon previous award winning research by the PI, in exactly this area. If successful, we will be able to reproduce the same abilities as current deep neural networks, but with a significantly reduced energy consumption, and whilst learning such architectures a significantly easier task for scientists.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.man.ac.uk |