Innovate with CERN
Date and time
Wednesday, 4 November 2020 08:30 - 17:00
Inspiring company collaborations with CERN
During this one-day virtual event, you will have the chance to hear about ongoing collaboration projects between CERN and different companies:
- Zenseact (former Zenuity) is developing a software platform with innovative and self-driving features. CERN and Zenceact have teamed up on fast machine learning for autonomous driving. – Christoffer Petersson, Zenseact-CERN research collaboration on fast deep learning.
- Bundesdruckerei is a German state-owned security company printing banknotes, stamps, identity cards, passports, visas, driving licences and vehicle registration certificates. They are together with CERN exploring links between quantum physics, identities and trust. – Ilya Komarov, Senior Expert, BDR.
- The Medipix technology is one of CERN’s most successful knowledge transfer cases. Each collaboration has triggered a significant number of commercial activities in widely different application areas. Medical imaging, space dosimetry, education, and material analysis just to mention a few. – Aurélie Pezous, Knowledge Transfer Officer, CERN
CERN’s value propositions in breakout sessions and 1-to-1 meetings
It will also be an opportunity to hear CERN present its value propositions and different fields of technology in breakout sessions. There will also be opportunities for 1-to-1 meetings with CERN Knowledge Transfer Officers and Technology Experts.
Breakout sessions with the technical themes:
Industrial Controls, Machine Learning, Analytics and Robotics - Digital solutions for tomorrow’s industry
CERN’s ambitious scientific endeavours are driving developments for faster, smarter, safer and more reliable systems across the Organization’s complex infrastructure and in the experiments. The next machine and detector upgrade will result in a torrent of raw data that needs to be filtered, and will increase the performance demands, which require improved, smarter controls, monitoring and maintenance protocols. In addition, reducing human interventions in hazardous environments and preparing for future accelerators are also important priorities. Application of machine learning, deep learning techniques to meet the above challenges are part CERN’s experts’ toolkit. In this breakout session, we will present some of the work related to the use of these techniques to address challenges in various domains:
- Overview of Industrial Controls activities at CERN and future directions
- Deep Neural Networks on FPGAs for low-latency on-edge computing
- Data Analytics for Industrial Controls
- Digital Twins and Simulation Tools
- Robotics and application of Machine Learning techniques for remote maintenance
Magnets, Superconductivity and Cryogenics - Solutions for sustainable transportation (trains, cars, aircraft)
At CERN, many experts have been working on innovative magnet systems over the last decades. More than 10 000 magnets are operational in the Large Hadron Collider, many of them using advanced superconductive technology. In this break-out session, we will look into the CERN know-how related to magnets, cryogenics and superconductivity - from a hardware and material perspective, but also from a software and simulation perspective. CERN experts will explain the capabilities related to their magnet and cryogenic system design and testing capabilities that could be of interest for industry.
- Magnets development and design at CERN: historic perspective, challenges and future perspective.
- Designing and testing superconductive magnets: hardware and software
- Cryogenic testing: CERN facilities and capabilities
Material Science – High Performance Applications in Harsh Environments
Machines at CERN have to operate reliably for decades in challenging environments, including extremes of temperature, radiation, vacuum and magnetism. CERN experts have developed knowledge in the selection, specification, development and application of materials, processes and devices to meet these demanding requirements. In this breakout session, we will be sharing a selection of some of the approaches and solutions developed:
- Overview of testing facilities
- Non-destructive testing and failure analysis
- Joining expertise and technologies, including an introduction to shape memory alloy joints
- Materials for thermal management applications
The Knowledge Transfer Group at CERN and Big Science Sweden. The Discovery Day is part of the joint collaboration programme that the organisers are establishing.
Agenda and registration
Participation is by invitation only. More information and registration details on the event page.