[Neutron] Machine Learning Conference: Keynote Speakers & Abstract Submission Deadline

[mlc at mlz-garching.de]

Dear colleagues,



We are pleased to announce that several high profile keynote speakers will give talks at the upcoming Machine Learning Conference for X-Ray and Neutron-Based Experiments 2024 in Garching near Munich!



You can already take a look at the speakers<https://indico.frm2.tum.de/event/451/page/385-keynote-speakers> on our website – more information will follow soon.



Abstract submission<https://indico.frm2.tum.de/event/451/abstracts/> is still possible until December 17, 2023!



Applying machine learning (ML) tools for data generated at photon and neutron (PaN) large-scale facilities offers new opportunities and challenges. This conference will gather experts from machine learning and specialists for applying neutron and photon beams to discuss their latest research. Discussion topics will range from autonomous experiment control and data analysis tools to requirements for ML training data. In addition to presentations, the event will include ML software demonstrations and opportunities for attendees to ask questions and discuss future directions.



The Heinz Maier-Leibnitz Zentrum<https://mlz-garching.de/englisch.html> (MLZ) organizes the conference, which will take place from April 8 – 10, 2024.



We are looking forward to seeing you in Garching!



Kind regards,

Prof. Dr. Peter Müller-Buschbaum

on behalf of the Scientific Advisory Board & the Local Organizing Team





Heinz Maier-Leibnitz Zentrum (MLZ)

Technische Universität München

Lichtenbergstr. 1

85748 Garching

Deutschland

www.mlz-garching.de<http://www.mlz-garching.de>







© FRM II / TUM





-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://lists.neutronsources.org/pipermail/neutron/attachments/20231128/d0e00d6e/attachment.htm>
-------------- next part --------------
A non-text attachment was scrubbed...
Name: image001.jpg
Type: image/jpeg
Size: 41162 bytes
Desc: image001.jpg
URL: <https://lists.neutronsources.org/pipermail/neutron/attachments/20231128/d0e00d6e/attachment.jpg>