Upcoming events

September 26, 2019
Swiss Swedish Innovation Initiative - AI, Big Data & XR
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February, 2020 
Swiss Nordic Bio
Read more

Preliminary Agenda | SWII AI, BIG DATA & XR

Venue: ABB Baden, Switzerland

Moderator: Mr. Ulf Borbos, Project Manager, Swedish Incubator & Science parks (SISP)
08.00-08:30
REGISTRATION
08:30-09:00
OPENING OF CONFERENCE

ABB (TBC) (3min)

Mr. Stefan Ramseier, Head of Corporate Research Center ABB Switzerland (5min)

H.E. Magnus Hartog-Holm, Ambassador of Sweden to Switzerland & Liechtenstein (5min, TBC)

Ambassador Mauro Moruzzi, Head of International Relations Division, Swiss State Secretariat of Education, Research and Innovation (5min, TBC)

Swiss-Swedish Innovation Initiative Ms. Maja Zoric, Senior Project Manager, Business Sweden (5min)

EUREKA-Eurostars: Boost Innovation Across Borders Ms. Colette John-Grant, National Project Coordinator, Swiss State Secretariat of Education, Research and Innovation SERI (10min)

09:00-10:15
MULTINATIONAL ENTERPRISE PRESENTATIONS á 15 min

AI, Big Data, VR/AR in the Aerospace Industry (15min)
Ms. Lisa Åbom, CTO, Saab Aeronautics

Making Traffic Automation Real at Zenuity - What are the Challenges? (15min)
Mr. Jonas Ekmark, Product Area Owner, New Technology, Zenuity AB

Synopsis: Traffic automation functionality has great advantages in terms of traffic safety and making productive time available for individuals. However, the paradigm shift is challenging in many aspects. The need for development, research and innovation will be discussed from Zenuity's point of view. Zenuity is a joint venture started by Volvo Cars and Autoliv in 2017, focusing on developing software for driver assist and traffic automation.

AM Digital Chain
Dr. Vladimir Navrotsky, Chief Technology Officer, Siemens Power and Gas

Synopsis: Siemens continue to focus on acceleration of AM technology industrialization. Digitalization is a backbone of AM technology and platform for AM successful industrialization. Therefore, the whole AM digital chain is under consideration and focus at Siemens. We are working with design tools, process simulation, pattern recognition, big data handling and visualization, machine learning and robotics. Collaboration with AM equipment suppliers, end users of AM, IT companies and Univer-sities is a part of Siemens approach in AM digital chain development.

Innovation collaboration opportunity with Sandvik

Hexagon – Enabling Technologies Shaping Smart Change
Dr. Bernd Reimann, Head of AI Center, Hexagon AB

Synopsis: Hexagon empowers its customers to shape smart change across geospatial, industrial, mining and agricultural applications. Here Hexagon’s Innovation Hub develops and deploys enabling technologies such as IIoT, AR/VR, and both cloud and edge analytics with big data, machine and deep learning. This talk will highlight several real-world use cases and point out research and collaboration opportunities in autonomous connected ecosystems such as smart factories, cities, construction sites, plants, mines and farms.

10:15-10:45
NETWORKING COFFEE BREAK
10:45-11:45
MULTINATIONAL ENTERPRISE PRESENTATIONS CONTINUE á 15 min

Industrial AI, Challenges and Use Cases
Dr. Christopher Ganz - Group VP Digital R&D

Synopsis: An industrial environment has requirements that are not obviously addressed by most machine learning algorithms. To fulfill them, AI needs to be incorporated into industrial systems. This requires a combination of different approaches and algorithms in one intelligent system.

Smart Solutions for Zero Defect Multi Stage Machining (SDM prel.)
Mr. Håkan Dahlquist, Quality and Research Manager, GF Machining Solutions System 3R Int. AB

Synopsis: The project focuses on developing nobel compensation and adaptive solutions to attain a zero defect multi-stage machining. The material condition in relation to residual stresses, workholding and machining induced errors and distortions are considered. Industrial cases from the aerospeace and automotive components manufacturing will be included. The project is a continuation project from prior.

Innovation collaboration opportunity with SBB (TBC)

Innovation collaboration opportunity with BOBST (TBC)

 

11:45-13:00
NETWORKING LUNCH
13:00-14:15
PRESENTATIONS BY SMALL- & MEDIUM SIZED COMPANIES

Each elevator pitch is 3 minutes long.

14:15-15:00
ACADEMIA PRESENTATIONS á 10 min

Machine Learning and Big Data in Quality Assurance for AM
Mr. Eduard Hryha, Professor, Department of Industrial and Materials Science, Chalmers University of Technology, Gothenburg

Synopsis: Exploration of the in-sity quality assurance tools in AM enables significant increase in robustness in AM processes and allows to minimize/avoid the need for expensive post-AM quality assurance. However, huge amount of data and high process speed require development of the efficient data mining and machine learning procedures to develop efficient closed-loop control algorithms.

Innovation collaboration opportunity with Linköping University 
Mr. Fredrik Heintz, Associate Professor Computer Science & Mr. Johan Ölvander, Professor Machine Design, Linköping University

Synopsis: The AI and Robotics research at Linköping University spans the whole spectrum from physical artifacts and how they interact with humans in intelligent collaborative and autonomous systems. The research integrates diverse disciplines such as sensor fusion, perception, knowledge representation, reasoning and learning, planning and decision making, and control with design and cognition. The majority of the research activities are conducted in collaboration with industrial partners and encompass a broad range of sectors including aerospace, transport, energy and medicine. LiU also provides interdisciplinary access to major research laboratory equipment and resources through the national Wallenberg AI, Autonomous Systems and Software Program (WASP) and National Supercomputer Center (NSC).

Innovation collaboration opportunity with University of Fribourg (TBC)

Innovation collaboration opportunity with EMPA (TBC)

Innovation collaboration opportunity with CSEM (TBC)

16:00-18:30
ONE-TO-ONE MATCHMAKING MEETINGS

Each time slot is 20 Minutes, all meetings are booked online

18:45-20:30
AFTER CONFERENCE NETWORKING

Networking, drinks and finger food.

Contact person:
Ms. Ulrika Hallström, Consultant,
Business Sweden Switzerland


Direct phone: +43 699 123 515 30
E-Mail: ulrika.hallstrom@business-sweden.se