Conveners
Machine Learning: Overview talk + scheduled talks by facilities
- Chair : Pierre Schnizer (HZB)
Machine Learning: Scheduled talks by facilities + contributed talks
- Chair : Luis Vera Ramirez (HZB)
At Elettra Sincrotrone Trieste there are several ongoing activities regarding Machine Learning and automation.
A research driven activity investigating Reinforcement Learning for the optimization of the FERMI Free Electron Laser has been carried out with promising results.
A framework based on the concept of Behavior Tree is employed in the autonomous operation
of the Elettra...
In the past decade Deep Learning (DL) proved to be very successful in tasks which involve image, signal and text analysis and recognition. Due to the complexity of the synchrotron control system and the physical phenomena occurring in such an infrastructure, it can benefit from novel deep learning techniques. Currently at Solaris two projects that involve the machine learning techniques are...
Artificial Intelligence, Digital Twins, Machine Learning are areas being explored in view of the SOLEIL upgrade.
Experimental data processing, control, online optimization, predictive maintenance become very hot topics and the center of the IT architecture transformation of the synchrotron light source. In this presentation I will give a short overview what has been achieved so far and ...
The Institute for Beam Physics and Technology (IBPT) at the Karlsruhe Institute of Technology (KIT) hosts two research accelerator facilities, KARA and FLUTE, that serve as platforms for the development and testing of new beam acceleration technologies and new cutting-edge accelerator concepts, including Machine Learning (ML) methods. In this talk I will present three ML activities in...
