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Future Production Systems Supported by Artificial Intelligence

  • AF Sandgatan 2 Lund (map)
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Join us in an exciting workshop about AI in future production systems

Cross Border Science and Society, in collaboration with Big Science Sweden and ESS, invite to the technology workshop “Future Production Systems Supported by Artificial Intelligence”.

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
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Preliminary Programme

09.00 Registration and coffee

09.30 Welcome
Anna Hall, 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, LTH

10.20 The Autonomous Factory – A Vision of the Future
Bo Bernhardsson, 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

Workshop, 29th of August 2018

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Registration

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