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Details of Grant 

EPSRC Reference: EP/Y028805/1
Title: AI HUB IN GENERATIVE MODELS
Principal Investigator: Barber, Professor D
Other Investigators:
Lai, Professor Y Teh, Professor YW Minervini, Dr P
van der Wilk, Dr M Rodrigues, Professor M Faisal, Professor A
Plumbley, Professor M Williams, Professor C Girolami, Professor M
Agapito, Professor L Hernandez Lobato, Dr J Saito Stenetorp, Dr PLE
Li, Dr Y Gal, Professor Y Gretton, Professor A
Sun, Dr M Schockaert, Professor S Stilgoe, Professor J
Wooldridge, Professor M Rattray, Professor M Lapata, Professor M
Kaski, Professor S Gutmann, Dr M U Narayanaswamy, Dr S
Researcher Co-Investigators:
Project Partners:
4J Studios Ltd ActiveQuote Ltd Adobe Systems Incorporated
Albion Capital AMPLYFi Ltd AstraZeneca
BT Chicago ARC Cisco
Cohere Conception X Limited Creator Fund
DeepMind Dyson Technology EleutherAI
Evolution Artificial Intelligence Ltd G-Research GlaxoSmithKline plc (GSK)
Huawei Group HumanLoop IBM UK Ltd
International Council on Environmental E LEGO Group Masakhane
Microsoft Mishcon de Reya Open Source Imaging Consortium
Orbital Media & Advertising Ltd PGIM Real Estate Pindrop (UK)
Sonos Synthesia UiPath
Unilever Wellcome Trust Welsh Water (Dwr Cymru)
Women in AI
Department: Computer Science
Organisation: UCL
Scheme: Standard Research
Starts: 01 February 2024 Ends: 31 January 2029 Value (£): 10,250,181
EPSRC Research Topic Classifications:
Artificial Intelligence Computer Graphics & Visual.
Human-Computer Interactions
EPSRC Industrial Sector Classifications:
Financial Services Healthcare
Creative Industries Pharmaceuticals and Biotechnology
Related Grants:
Panel History:
Panel DatePanel NameOutcome
08 Nov 2023 AI for Science or Real Data Interview Panel A Announced
Summary on Grant Application Form
Generative Models are AI models that can generate data. Recently researchers have shown that by training these models on large amounts of data (text data from the internet and images) these models learn to understand the regularities of our text and image world so well that they can generate responses to questions and create new images with surprising fidelity. This heralds a new era in which computers can assist humans to carry out tasks more efficiently than ever with significant opportunities for society, science and industry. However, these advances need significant research still -- how to make them train efficiently on different problems, how to understand their reliability and adherence to ethical norms.

Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
Date Materialised
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