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Wednesday 17th July 2024

Wellcome Collection, London

This Open for Business event was linked to the INI programme on Diffusions in Machine Learning: Foundations, Generative Models and Non-Convex Optimisation and took place within the International Workshop on Diffusions in Machine Learning: Foundations, Generative Models, and Optimisation. This event was developed in partnership with the Alan Turing Institute. It aimed to provide a meeting ground to facilitate interactions and exchanges between representatives of academia, research and industry, relevant to the theme, with the objective of identifying points of mutual interest and possible co-activity.


Diffusion processes are now among the most prevalent mathematical tools in machine learning (ML), demonstrating significant impact and success across various ML subfields, including generative models, sampling techniques, and nonconvex optimization. The remarkable effectiveness of diffusion-based methodologies has generated considerable interest in their mathematical underpinnings and spurred the development of innovative diffusion-based algorithms. This rising prominence underscores an immediate need for fundamental research to thoroughly comprehend and evaluate the application of these tools in ML, particularly given their implementation in real-world scenarios.

To address this pressing need, this workshop was designed to unite emerging talents, esteemed scholars, and industry experts with a dedicated focus on Generative AI applications. The event aimed to facilitate a forward-looking discussion on the future of Generative AI.

Aims & Objectives 

The planned activities of the day geared towards this goal included a session of talks from industry and academia based on the themes of Generative AI.

Registration and Venue 

Registration is now closed. Please contact for any queries.

The workshop took place at the Wellcome Collection. Please visit the Wellcome Collection website for further information about the venue. 

To maximise networking opportunities and interaction with speakers and other participants, we strongly encouraged in-person attendance to this workshop. However, this event was also hosted as hybrid via Zoom.