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EP/K015664/1 - ENGAGE : Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research

Research Perspectives grant details from EPSRC portfolio

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Professor M Girolami EP/K015664/1 - ENGAGE : Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research

Principal Investigator - Statistical Science, University College London

Other Investigators

Dr GJ Brostow, Co InvestigatorDr GJ Brostow

Professor KE Jones, Co InvestigatorProfessor KE Jones

Scheme

Standard Research

Research Areas

Artificial Intelligence Technologies Artificial Intelligence Technologies

Human-Computer Interaction Human-Computer Interaction

Image and Vision Computing Image and Vision Computing

Start Date

02/2013

End Date

01/2016

Value

£674,580

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Grant Description

Summary and Description of the grant

Our vision is to establish and lead a new theme in ICT research based on Interactive Machine Learning (IML). Our expansion of IML will give scientists and non-ICT specialists unprecedented access to cutting-edge Machine Learning algorithms by providing a human-computer interface by which they can directly interact with large scale data and computing resources in an intuitive visual environment. In addition, the outcome of this particular project will have a direct transformative impact on the sciences by making it possible for non-programming individuals (scientists), to create systems that semi-automatically detect objects and events in vast quantities of A) audio and B) visual data. By working together across two parallel, highly interconnected streams of ICT research, we will develop the foundations of statistical methodology, algorithms and systems for IML. As an exemplar, this project partners with world leading scientists grappling with the challenge of analysing enormous quantities of heterogeneous data being generated in Biodiversity Science.

Structured Data / Microdata


Grant Event Details:
Name: ENGAGE : Interactive Machine Learning Accelerating Progress in Science, An Emerging Theme of ICT Research - EP/K015664/1
Start Date: 2013-02-01T00:00:00+00:00
End Date: 2016-01-31T00:00:00+00:00

Organization: University College London

Description: Our vision is to establish and lead a new theme in ICT research based on Interactive Machine Learning (IML). Our expansion of IML will give scientists and non-ICT specialists unprecedented access to cutting-edge Machine Learning algorithms by providing a h ...