Connectionists: AI in Data-Intensive Science and Industry Conference, London

[Nikolaou Nikolaos]

Dear all,

We are delighted to announce the “AI in Data-Intensive Science and
Industry” Conference, hosted by the UCL Centre for Data Intensive Science
and Industry <https://www.ucl.ac.uk/data-intensive-science-industry/>. The
conference will take place from *30th June to 2nd July 2025* at *University
College London*.

This interdisciplinary meeting brings together researchers from
Astrophysics, High Energy Physics, Computer Science, and Industry to
exchange insights and share experiences in Machine Learning (ML) and
Artificial Intelligence (AI).

*Keynote Speakers Include*:
*Andrew Duncan* (Director of Science and Innovation, Alan Turing Institute)
*Ciarán M. Gilligan-Lee* (Head of Causal Inference, Spotify, Dublin)
*Chris Lintott* (Prof. of Astrophysics, University of Oxford)
*Emily Shuckburgh *(Director of ‘Cambridge Zero’, University of Cambridge)

*Topics Include*:

   - Examples of ML problems in Astrophysics & High Energy Physics
   - From ML to Physics & from Physics to ML
   - Surrogate & Generative models
   - Graph Neural Networks & Geometric Deep Learning
   - Discovery & Anomaly Detection
   - Simulation-Based Inference & Uncertainty Quantification
   - Interpretability & Explainability
   - Ethics, Sustainability & Resource-efficient AI

*Registration link, Website & Programme*:
https://www.ucl.ac.uk/data-intensive-science-industry/news/2024/dec/explore-future-ai-data-intensive-science-and-industry

*Registration is open until May 12. Conference fee is £150* (Payment
details to follow soon)

If you have any questions, please feel free to reach out. We look forward
to welcoming you to London in June!

On behalf of the organizers,
Nikos Nikolaou

-- 
*Dr. Nikolaos Nikolaou*
Machine Learning, AI & Data Science Expert
Lecturer (Assistant Professor) in Data Intensive Science, UCL
https://nnikolaou.github.io
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