AI Challenges for European Research and Academia#
Venue: Imperial College, Lecture Theatre 311, Huxley Bldg. 3rd Floor, ICL, 180 Queens Gate, London SW7Date: 4-5 Sep. 2024
Sponsors: Academia Europaea & CNRS Abraham de Moivre Math. Laboratory, ICL
Co-Sponsor: Foundation for Science and Technology, UK
AE Task Force on AI: Erol Gelenbe MAE (Chair), Guy Brasseur MAE, Schahram Dustdar MAE, Thomas Eiter MAE, Véronique Halloin, Alessandro Lenci
Organizing Committee:
Dan Crisan, Maths. Dept., ICL, Erol Gelenbe, Inst. Theoretical & Applied Informatics, Polish Acad. Sci., Federica Pratola, Maths.Dept. ICL
For invitation and registration please contact: seg@iitis.pl#
Preliminary Program#
Wednesday Sep 4, 2024
10.00am Welcome
10.10am - 11.30 Introduction
- 10.10 - 10.50 Eric Xing, President MBZUAI “Toward public and reproducible foundation models beyond lingual and visual intelligence: How a young university helps lead a young country in the premier league of global AI”
- 10.50 - 11.30 Zeina Zakhour, CTO Global Security Eviden/ATOS, “Interdisciplinary Perspectives on AI for Cybersecurity & Security for AI”
11.30 - 12.30 Brain Modeling
- Samuel Deslauriers-Gauthier, INRIA, “Modeling the Brain Connectome”
- Dan Farina, ICL “Mapping Brain and Spinal Sensorimotor Activity”
12.30am - 1.15pm Lunch
1.15pm - 3.15pm Machine Learning I
- Yonina Eldar MAE, FAcad.Sci.Israel, Weizmann Institute “Model-based Deep Learning”
- Eric Moulines FAcadSci Fr, Ecole Polytechnique “Bayesian inverse problems with denoising diffusion model”
- Marco di Renzo MAE, CNRS, Centrale Supelec “Smart Metasurfaces for Communications”
3.15pm - 3.30pm Coffee Break
3.30pm - 6.30pm Machine Learning II
- Louis Wehenkel MAE, Liège Univ. “Physics informed ML for bulk electric power systems”
- Tolga Birdal, ICL “Topological Deep Learning: Beyond Graph Data”
- Ekin Dogus Cubuk, Google DeepMind “Scaling up computational materials discovery via deep learning”
- Erol Gelenbe MAE FNATF RoyAcad Be, IITIS & KCL ”Wave Equation for Quantum Neural Networks”
6.00 - 7.00 Panel: Technical Challenges for Machine Learning
Yonina Eldar, Erol Gelenbe, Iryna Gurevych, Zeina Zakhour
7.30 pm Dinner for Speakers and Organizers at Ogniesko (Exhibition Road)
Thursday Sep 5, 2024#
9.30am - 10.30am AI in Cybersecurity, Trust and Privacy
- Yves-Alexandre de Montjoye, ICL “Computational Privacy and AI”
- Zheng Yan, Xidan University “AI-empowered Trust and Trust-controlled AI”
10.30am - 10.45am Coffee Break
10.45am - 12.00am Research on Language Technology
- Iryna Gurevych, TU Darmstadt, “How to InterText? Modeling Text as a Living Object in Context”
- Anna Korhonen, University Cambridge “Towards globally equitable language technologies”
12.00am - 12.45am Lunch Break
12.45am - 3.00pm AI in Healthcare
- Benoît Macq RoyAcad Be, Louvain University “Coalitional Learning for Healthcare”
- Payam Barnaghi, ICL, “AI for Personalized Healthcare Alerts”
- James Cole, UCL “AI in the Analysis of Brain Ageing”
3.00pm - 3.15pm Coffee Break
3.15pm - 6.15pm AI in Engineering
- Helen Li, Duke University “Efficient Machine Learning: Algorithm-Hardware Co-design”
- Alexandra Brintrup, Cambridge University , “Explainable AI for Supply Chains”
- Eiman Kanjo, Nottingham Trent University & ICL “Tiny ML”
- Emmanouil Spyrakos, KCL “Interchangeability of AI and Control Theory for Robot Control”
For invitation and registration please contact: seg@iitis.pl#
Download the preliminary programme (updated 14th August 2024)