Details of Grant 

EPSRC Reference:	EP/Y028805/1
Title:	AI HUB IN GENERATIVE MODELS
Principal Investigator:	Barber, Professor D
Other Investigators:	Faisal, Professor A Girolami, Professor M Agapito, Professor L Hernandez Lobato, Dr J Saito Stenetorp, Dr PLE Li, Dr Y Plumbley, Professor M Minervini, Dr P Williams, Professor C van der Wilk, Dr M Rodrigues, Professor M Lai, Professor Y Teh, Professor YW Stilgoe, Professor J Lapata, Professor M Kaski, Professor S Gutmann, Dr M U Narayanaswamy, Dr S Gal, Professor Y Wooldridge, Professor M Gretton, Professor A Rattray, Professor M Sun, Dr M Schockaert, Professor 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 Date Panel Name Outcome 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
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk Summary Date Materialised
Sectors submitted by the Researcher
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