Break-throughs in deep learning (DL) technology are revolutionising the amount, rate and nature of information that can be extracted from data, creating new opportunities to accelerate scientific discovery in ways that have never been imagined before.

Billedresultat for machine learning workshop

This workshop is a follow up of the previous one organised on September 2019 at the NBI. During these two days on May 2020, we shall  again focus on two topical themes on DL Accelerated Discovery.

• The use of DL architectures to generate unbiased and objective models for analysis of experimental data.

• The use of DL methods for optimising data collection protocols in real time and for discovering anomalies in experimental data and enhancing the efficiency of the scientific workflow.

These intersections of scientific discovery and DL science are unique and the workshop will now explore potential research avenues to understand how to best develop these technologies to accelerate discovery in Physics.

The program for the workshop will consist of plenary sessions followed by working groups, and final close-out.

On Thursday the 14th, plenary seminars will review the state of the art in DL and how it is currently used in selected areas of Physics, as well as on the challenges that these experimental techniques face that can be addressed by DL. Afternoon working groups, led by a convener, will explore and report in how DL methods can become more generically applicable to a wide range of  experiments, in the areas of Experiment design, Data collection and instrumentation control, Data reduction Analysis, and extraction of science.

On Friday, 15th, morning sessions will be again split by panels, focusing this time on techniques, such as (un)supervised and reinforcement learning, Artificial Neural Networks,  machine learning firmware implementation for Hardware (FPGA), etc..

Friday afternoon, conveners will present the outcomes of the previous day’s working-groups and the meeting will close with a discussion and presentation of an overall summary. A tentative roadmap on how to make progress in the application of DL for Accelerated Scientific Discovery ain Physics will also be proposed.

There is no registration fee for the workshop, but attendance is limited to 100 participants.

Looking very much forward to seeing you on  May!



HCØ Building
Aud. 2 (May 14) or Aud. 6 (May 15)
Universitetsparken 5 2100 København Ø


Associate Professor Heloisa N. Bordallo, X-Rays and Neutron Section 

Associate Professor Stefania Xella, Subatomic Group

Associate Professor Troels Petersen, Subatomic Group

Dr. Adriano Agnello, DARK Cosmology

Local Support:  Gitte Michelsen (

This workshop is sponsored by the Niels Bohr Institute Fund and by the Niels Bohr Institute Directorate.

There is no fee for the participants, but the open sections are limited to 100 participants.

Webmaster: Heloisa N. Bordallo (

Registration for this event is currently open.