Emerging techniques and applications of AI and machine learning

Imperial College London

A workshop that aims to offer leading AI researchers affiliated with Imperial College London, DATAIA and INRIA a platform to present their latest research on AI and Machine Learning.
Against the backdrop of new AI initiatives from the European Commission, UK, and French Governments, the programme, held in partnership with the French Embassy in the UK, is designed as a platform to share scientific views on emerging techniques and applications of AI/Machine Learning, and to develop Franco-British academic collaboration in related fields.
<A HREF="http://dataia.eu/linstitut/les-missions" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">DATAIA</A> is the French Government sponsored cluster of 14 institutions working on AI (Paris-Saclay University, Inria, CEA, CentraleSupélec, CNRS, Ecole polytechnique, ENSAE, HEC, IFP-EN, IMT, INRA, Evry-Val d Essonne, University Paris-Sud, University Versailles - Saint-Quentin-in-Yvelines).
<A HREF="https://www.inria.fr/en/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">INRIA</A> is the French National Institute for Research in Computer Science and Automation.
<H2 CLASS="MsoNormal">Programme</H2>
13.45 -14.00 Welcome remarks
Imperial College London - Prof. Daniel Rueckert, Head of the Department of Computing and Professor of Visual Information Processing DATAIA / INRIA - Prof. Nozha Boujemaa, Research Director at Inria, Director of DATAIA Institute (Data Sciences, Intelligence &amp; Society).
<H3 CLASS="MsoNormal">Talks</H3>
Challenges of Trusted AI (14.00- 14.30 ) <A HREF="https://project.inria.fr/nozhaboujemaa/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Prof. Nozha Boujemaa</A>, Director of DATAIA Institute (Data Sciences, Intelligence &amp; Society), Research Director at INRIA
Geometric Deep Learning (14.30 – 15.00) <A HREF="http://www.inf.usi.ch/bronstein/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Prof. Michael Bronstein</A>, Chair in Machine Learning and Pattern Recognition, Department of Computing
Methods Deep in the Output Space (15.00- 15.30) <A HREF="https://jmread.github.io/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dr Jesse Read</A>, Assistant Professor at the Computer Science Laboratory of École Polytechnique
15.30 – 15.45 – Coffee and Refreshments 
AI and Health, Medical Image Analysis, Image &amp; Vision Computing (15.45 – 16.15)   <A HREF="http://wp.doc.ic.ac.uk/dr/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Prof. Daniel Rueckert</A>, Head of the Department of Computing and Professor of Visual Information Processing
Graphical models &amp; Artificial Vision (16.15 – 16.45) <A HREF="https://hugues-talbot.github.io/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Prof. Hugues Talbot</A>, Professor at the Centre for Numerical Vision (CVN) at CentraleSupélec, Universite Paris-Saclay
AI, Neurotechnology and Cognitive Sciences (16.45 – 17.15 ) <A HREF="https://www.imperial.ac.uk/people/a.faisal" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dr Aldo Faisal</A>, Director of the Behaviour Analytics Lab at the Data Science Institute and Associate Professor for Neurotechnology at the Dept. of Bioengineering and Dept. of Computing
The impact of open source in AI: from education to better research (17.15 - 17.45) <A HREF="http://alexandre.gramfort.net/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">Dr Alexandre Gramfort</A>, Researcher at INRIA in the Parietal Team and member of the DATAIA Institute programme committee
17.45- 18.30 Drinks and Reception

Dyson Building of Design Engineering

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