Chair Theme seminar: AI for Scientific Data Analysis

AI for Scientific Data Analysis centers around the identification, analysis and interpretation of data using AI from, e.g., microscopy, spectroscopy, chemistry, and astronomy.

The theme arranges a seminar series that will be held every second Thursday each month. This is the first seminar in the series.

Title: Convolutional Neural Networks for source finding in astronomy: the Team FORSKA-Sweden approach to SKA Data Challenge 2.

Please, sign up before 7 February!

Agenda

13:00-14:00:

• Lecture by Maria Carmen Toribio Perez from the Department of Space, Earth and Environment 
• Henrik Håkansson from Fraunhofer-Chalmers Centre 

14:00-late: 

Traditional “fika” and networking in the nearby Nexus