A networking event to connect researchers from academia with the needs of local industries, organized by the CHAIR theme AI for Scientific Data Analysis.
Overview
- Date:Starts 2 June 2023, 09:00Ends 2 June 2023, 18:00
- Location:Veras gräsmatta, Campus Johanneberg
- Language:English
This event is an excellent opportunity to meet and collaborate with like-minded professionals in your field and to explore potential research and industry partnerships. It will feature a series of informative presentations and discussions, along with opportunities for networking over fikas and lunch. The event is free of charge.
You will have the chance to:
• Meet other researchers and industry professionals in your field
• Learn about ongoing AI research projects in academia and industry
• Share your own AI research and industry experiences and insights
• Discover potential opportunities for collaboration and partnership
Last day for registration: 26 May.
Program
9:00 Opening Remarks
Prof. Mattias Goksör, University of Gothenburg
9:15 AI and regional development – Challenges and opportunities
Hannes Lindkvist, Business Region Göteborg AB
9:45 Plenary session
Prof. Fredrik Kahl, Chalmers
10:15 Break
10:30 AI in Live Tumor Cell Behavior Analysis for Diagnostic Purposes
Hanne Evenbratt, Cline Scientific AB
11:00 Using AI to preserve privacy in healthcare
Shahid Jabbar, Mabel ai
11:30 Brain Analysis using Graph Theory
Joana B. Pereira, Karolinska Institute
12:00 Lunch break
13:30 Distributed AI at Volvo Cars
Jonas Andersson, Volvo Car Corporation
14:00 Simplifying Decision-Making with Augmented Intelligence
Ajay Anantha, Braviz
14:30 ML Approaches for Trajectory Analysis
Prof. Carlo Manzo, ICFO
15:00 Mingle and fika
15:30 Roundtable discussion with ChatGPT and Bing
Contact
Mattias Goksör, University of Gothenburg
AI for Scientific Data Analysis
This theme is about utilizing the power of AI as a tool for scientific research. AI can be applied to, and potentially speed up, discovery and utilization in a variety of research disciplines, such as microscopy, physics, biology, chemistry, and astronomy.