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Recent Developments in Theoretical Machine Learning Workshop

13/01/2025
10:00 - 17:00

This workshop aims to bring together researchers in stochastic analysis, statistics and theoretical machine learning for an exchange of ideas at the forefront of the field. The

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Jun
11
Professor Eiman Kanjo, Gian Marco Iodice, Omar Al Khatib, George Gekov,

AI: Cutting-Edge Overviews & Tutorials with Professor Eiman Kanjo, Gian Marco Iodice, Omar Al Khatib and George Gekov

11/06/2024
13.00 - 15.00

tinyML, characterized by its low-cost, privacy-preserving, and energy-efficient architecture, represents a paradigm shift in computing. In this talk, the group will delve into key techniques and pipelines for building and deploying models on tiny edge devices, exploring the latest advancements in microcontroller technology, including multicore processors, expanded memories, and on-board TPUs and Neural Accelerators.

Jun
06
Professor Alexandre Antonelli

AI: Cutting-Edge Overviews & Tutorials with Professor Alexandre Antonelli

06/06/2024
14.00 - 15.00

Never before has nature been at greater risk from human activities and climate change. There is therefore an urgent need to prioritise available resources in ways that provide maximum benefits to biodiversity, climate, and people. In this talk, Professor Alexandre Antonelli will outline key areas where artificial intelligence could play a substantial role in supporting on-the-ground conservation actions.

May
28
Dr Nicole Salomons

AI: Cutting-Edge Overviews & Tutorials with Dr Nicole Salomons

28/05/2024
14.00 - 15.00

Robots possess great potential to enhance the experiences of their users. However, every individual they engage with presents a unique set of requirements and preferences. In this talk, Dr Salomons will explore the concept of personalization in human-robot interaction, by presenting several strategies by which robots can tailor their interactions to personalize for the distinct needs of each user.

May
23
Michael Huth (PhD)

AI: Ethics & Diversity Seminar Series with Professor Michael Huth

23/05/2024
14.00 - 15.00

Convergence science refers to transdisciplinary integrations of scientific disciplines in addressing the world’s pressing problems, in advancing science, and in rethinking how we live, work, and innovate. Diversity – of perspective, education, culture, aspiration, talent, and more – and advances in AI are key enablers of convergence science.

May
14
Dr Gege Wen

AI: Cutting-Edge Overviews & Tutorials with Dr Gege Wen

14/05/2024
14.00 - 15.00

CO2 geological storage plays an essential role in global decarbonization and the energy transition. Predicting the transport of CO2 in subsurface formations requires the numerical simulation of multiphase flow through porous media.

May
09
Dr Mary Meaney Haynes

AI: Ethics & Diversity Seminar Series with Dr Mary Meaney Haynes

09/05/2024
13.00 - 14.00

From running mobile clinics with semi-nomadic polygamous tribes to running McKinsey’s global Organization practice, Dr Mary Meaney Haynes will share some perspectives on a career in consulting, serving on Boards of Fortune500’s and Imperial College Council and her recent work supporting Ukrainian refugees.