Sorrento Meeting marks twenty years of PMLR
The 2026 Sorrento Meeting centred on the future of machine learning publishing, celebrating two decades of the Proceedings of Machine Learning Research.
Machine learning advances through communities as much as through papers. ML@CL supports meetings and programmes that bring researchers together across institutions, countries and career stages — and that keep open routes for publishing and training alive.
The UK AI Conference series brings AI researchers from across the UK together for talks and posters. The first meeting, at the Natural History Museum in May 2023, was organised for the Turing AI Fellows. Later editions in Birmingham (2024), London (2025) and Nottingham (2026) have been organised principally by Christian Cabrera, with Neil remaining on the series committee. Proceedings from the series appear in the Proceedings of Machine Learning Research.
Data Science Africa is a grass-roots network for training and research in data science and machine learning in African contexts. Lab members contribute as speakers, programme chairs and advisors — including the 2025 summer school and workshop in Ibadan, and longer-running collaboration on data-sharing policy and teaching such as the Machine Learning Foundations course in Kenya.
The Sorrento Meeting continues the spirit of the DALI (Data, Learning and Inference) workshops: a small, invitation-oriented European meeting with time for workshops and plenary discussion. Cambridge colleagues have chaired the 2025 and 2026 editions at the Grand Hotel Vesuvio. The 2026 meeting centred on the future of machine learning publishing and marked twenty years of the Proceedings of Machine Learning Research.
PMLR (originally JMLR Workshop and Conference Proceedings) publishes machine learning research presented at workshops and conferences. Neil proposed the series to JMLR in 2006; the first volume, from the Gaussian Processes in Practice workshop at Bletchley Park, appeared in March 2007. The series remains a community-run, open route for conference proceedings, with Neil as a series editor.
The DeepMind Professor of Machine Learning, Cambridge University
Assistant Research Professor, Cambridge University
Visiting Researcher, Cambridge University
Programme Manager, Interfaces Project, Cambridge University
PhD Student, University of Cambridge
Executive Director, Accelerate Science, Cambridge University
Data Science Africa Fellow, UN Global Pulse
PhD Student, Cambridge University