Due to the Corona outbreak AI Lund Drop-in until further is moved to the Internet. Plattform and address are communicated in the list below.
AI Lund Drop-in is an opportunity for anyone at Lund University (students, researchers, others) who is working with or wants to get started with AI to meet like-minded people and experts in order to discuss practical problems or new project ideas, e.g. in connection with:
- student projects or theses*
- research projects
- hobby or innovation projects
- digitization of IT systems
Every other Monday (odd weeks) at 10-12, one or more AI researchers will be online, to answer questions or lead discussions. But we expect that there will also be people who just want to hang with others interested in the topic. Different weeks will focus on different topics, such as image analysis, robotics or clinical AI. Try to choose the meeting that you think is best suited for your challenges.
Schedule and topics spring semester 2020
6 April at 10-12
Researchers: Sonja Aits, Marcus Klang, Nikolay Oskolkov
Theme: Machine Learning, Natural Language Analysis, Technical Platforms, AI in medicine/life sciences.
20 April at 10-12
Researchers: Jacek Malec, Kalle Åström
Theme: Machine learning, Knowledge representation and reasoning, Image analysis
4 May at 10-12
Researchers: Mattias Ohlsson, Kalle Åström
Theme: Machine Learning, GAN, Image Analysis, Pattern Recognition
18 Maj at 10-12
Researchers: Sonja Aits, Stefan Larsson, Nikolay Oskolkov
Theme: AI in medicine/life sciences, Ethics, Law
1 June at 10-12
Researchers: Stefan Larsson, Marcus Klang
Theme: Ethics, Law, Natural Language Analysis, Technical Platforms
15 June at 10-12
Researchers: Sonja Aits, Kalle Åström, Nikolay Oskolkov
Theme: Machine Learning, AI in medicine/life sciences, GAN, Image Analysis, Pattern Recognition
** If a student's work applies to a course where the subject itself is about AI or Machine Learning, we expect you to turn to your teachers in the first place :-).
** IKDC, Sölvegatan 26, Lund See: http://www.design.lth.se/english/the-department/directions/