
09 MAR 2021
From 15 – 19 February 2021, over 80 participants attended the online LENS Machine Learning School. The school, which was targeted towards neutron and muon facilities staff, offered a gateway for beginner and intermediate coders to get into machine learning, providing an overview of modern and traditional machine learning techniques alongside neutron or muon based applications.
The Machine Learning School, organised collaboratively by the LENS initiative, was run by lecturers from facilities across Europe, including ISIS, PSI, ESS, ILL, and MLZ, with additional support from the STFC’s SciML group and the Jülich Supercomputing Centre.
The hands-on lectures covered a range of topics, from the very basics of how a neural network operates, to training a neural network to play Mrs Pac-Man (with a fair dose of more traditional methods inbetween!).
Resources from the School, including recordings of most of the lectures, are available online for all to access. Anyone with an interest in machine learning is encouraged to explore the lecture material and join the Slack channel for the LENS Machine Learning School for hints, tips and discussion on the projects going on across the European neutron and muon sources.

Contacts:
Jos Cooper, ISIS, jos.cooper@stfc.ac.uk
Recent News & Events
- Register for the RI.Logistica conference today and be part of an unparalleled international forum that will impact how research infrastructures deal with logistics in the future.
- This webinar will focus on how neutrons can provide crucial information to study the structure-dynamics-function relationships in macromolecular drug targets and to design successful drug delivery systems.
- This webinar will focus on how neutron scattering techniques can elucidate the structures and steps involved in the aggregation mechanisms to provide crucial information to understand and combat these diseases and to develop better medications.