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Alumni Insights: Shaping a Responsible Future with AI for Good

12/06/2025
18:30 - 20.45

How can we ensure that artificial intelligence doesn’t just disrupt the world, but improves it?

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Aug
29
Eileen Boyce, Tracy Bussoli, Andreas Jørgensen, Jonathon Langford, Austin Mroz, Gema Vera-Gonzalez,

AI in Science Fellowships Q&A Session

29/08/2024
16.00 - 17.00

This informal Q&A is for anyone interested in finding out more about the Eric and Wendy Schmidt AI in Science Postdoctoral Fellowships before applying to the scheme.

Aug
27
Dr Guang Yang

I-X Research Presentations: Guang Yang

27/08/2024
15.30 - 16.30

This talk delves into the comprehensive journey of medical images through the stages of segmentation, reconstruction, and their iterative interplay.

Jul
18
Professor Claudia Clopath

AI: Cutting-Edge Overviews and Tutorial Series with Professor Claudia Clopath

18/07/2024
14.00 - 15.00

This talk delves into how we can use machine learning tools to study learning and adaption in the brain.

Jul
04
Professor Sun Kim

I-X Seminar: Modeling Gene-Gene Interactions for Drug Response Prediction and Biomarker Gene Discovery with Professor Sun Kim

04/07/2024
11.00-12.00

In this talk, Professor Sun Kim shares his recent research works on drug response prediction and biomarker gene discovery.

Jul
03

I-X Open Day

03/07/2024
09:30 - 16:30

Step into the Future with the I-X Open Day! Embark on an illuminating journey into the realm of Intelligible AI (IAI) at the I-X Open Day! Join us as we unveil the forefront of multidisciplinary research, dedicated to crafting a new era of AI systems that are both intelligible and trustworthy.

Jun
20
Dr Chen Qin

I-X Research Presentations: Chen Qin

20/06/2024
15.30 - 16.30

Deep learning has shown great potential in improving the entire medical imaging workflow, from image acquisition to disease treatment. This talk will focus on the recent advances of deep learning in medical imaging, from the reconstruction of signals to quantification of clinically useful information.