Details of Grant

EPSRC Reference:

EP/S021566/1

Title:

UKRI AI Centre for Doctoral Training in Foundational Artificial Intelligence

Principal Investigator:

Other Investigators:

Brostow, Professor GJ	Agapito, Professor L	Stoyanov, Professor D
Mitra, Professor N

Researcher Co-Investigators:

Project Partners:

Adobe Systems Incorporated	Albion Capital	ASI Data Science (Adv Skills Initiative)
BenevolentAI Bio Ltd	Capital Enterprise LLP	Cisco
DeepMind	Digital Catapult	Digital Surgery
Dynium Robot	EntrepreneurFirst	Huawei Group
Julia Computing	Microsoft	nVIDIA
SCM Advisors	Vodafone

Department:

Computer Science

Organisation:

UCL

Scheme:

Centre for Doctoral Training

Starts:

01 April 2019

Ends:

30 September 2027

Value (£):

6,740,856

EPSRC Research Topic Classifications:

Artificial Intelligence

Image & Vision Computing

EPSRC Industrial Sector Classifications:

Information Technologies

Related Grants:

Panel History:

Panel Date	Panel Name	Outcome
07 Nov 2018	UKRI Centres for Doctoral Training AI Interview Panel W – November 2018	Announced

Summary on Grant Application Form

The UK has had remarkable success in producing new algorithms in Artificial Intelligence. This has driven two processes -- one is the adoption of existing large-scale data analysis tools to industry problems. The other is the acquisition by large tech companies of UK talent, with the intention that it will significantly shape the future commercial landscape.

Whilst there has been dramatic recent progress in AI, the systems are still far from being universally useful. The tech giants are well aware of this and are investing heavily in teams and algorithms that can address these fundamental AI challenges.

It is vital that the UK retains the ability to create new AI technologies and does not become merely a consumer and user of AI technologies produced by others. This training centre will spearhead this effort by addressing the core research problems and training students to become the next generation scientists and entrepreneurs.

Key Findings

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Potential use in non-academic contexts

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Impacts

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Summary
Date Materialised

Sectors submitted by the Researcher

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Project URL:

Further Information:

Organisation Website: