Back to All Events

Future Production Systems Supported by Artificial Intelligence

  • AF-Borgen Sandgatan 2 Lund (map)
start.png

Join us in a hands-on oriented workshop about Future Production Systems Supported by Artificial Intelligence

Cross Border Science and Society in collaboration with Big Science Sweden, BigScience.dk and ESS

How can organizations use artificial intelligence to improve their productivity? The ESS particle accelerator will consist of almost two million control points, a highly complex production environment. Complex production facilities at present include some 200.000 control points and the complexity is constantly increasing.

The workshop will focus on future applications of artificial intelligence (AI) in advanced production systems with examples from research and projects at production companies. The participants will discuss questions on how to harness the potential of AI in order to reap the full benefits of automation.

Some topics for the presentations during the day

  • ESS, Cern, and Machine Learning
  • Siemens, RISE customer, deviation detection and uh-planning
  • Anomaly detection, streaming analytics, tools, and methods for the implementation of machine learning
  • Autonomous systems and autonomous factories

Programme

09.00
Registration and coffee
09.30
Welcome
Anna Hall, Program Director, Big Science Sweden
09.40
Applying Machine Learning to the ESS Control System
Henrik Carling, Head of Integrated Controls System Division, ESS
10.00
Industry 4.0 – ESS and Max IV as Drivers of Industrial IT Development
Charlotta Johnsson, Professor LTH
10.20
The Autonomous Factory – A Vision of the Future
Bo Bernhardsson, Professor LTH               
10.40
Data collection, management and retrieval with EPICS for use in machine learning
Leo R. Dalesio: Osprey Distributed Control Systems
11.00
Optimising CERN Control Systems Through Anomaly Detection and Machine Learning
Filippo Maria Tilaro, CERN
11.20
Streaming Analytics for Anomaly Detection on Large Data Sets
Jim Dowling, RISE SICS
11.40
Statistical Machine Learning for Deviation Detection
Anders Holst, RISE SICS
12.00
AI in Physics
Abbey Waldron, Computer Science Retreat
12.15
Lunch
13.00
AB Volvo – A Generic Vision-Based System Using AI for Control of a Robot Fleet
Per-Lage Götvall, AB Volvo and Knut Åkesson, Chalmers
13.20
Applied AI in Underground Mining
Daniel Enström, Mobilaris
13.40
AI for Autonomous Manufacturing
Alf Isaksson, ABB Corporate Research
14.00
Round-Table Discussions
15.15
Presentation of results
15.50
Summary
16.00
End of workshop

Logorad.png

Anmälan är stängd

Vid frågor kontakta Mats Larsson, 
+46 73-355 24 11, mats.larsson@bigsciencesweden.se