This event showcases the group projects of the students of the course TIF360/FYM360 – Advanced machine learning with neural networks.
Overview
Date:
Starts 28 May 2026, 12:00Ends 28 May 2026, 17:00Location:
Language:
English
People who are interested are welcome to drop by and engage with the students between 12 and 17. About 100 students will present their project, in two consecutive turns (first turn 12:00-14:30, second turn 14:30-17:00).
There will be coffee and fika at the beginning of each turn (12:00-12:30 and 14:30-15:00).
Registration is not necessary, but you can register until 25 May at 17:00.
TIF360 / FYM360 is an advanced course that introduces students to recent developments and state-of-the-art methods in machine learning using artificial neural networks. It provides an in-depth analysis of many of the concepts and algorithms that were briefly introduced in that course, with particular emphasis on applications in the natural and engineering sciences.
The goal is to become familiar with several advanced machine-learning methods, and to code them efficiently in Python using current neural-network packages. An essential part of the course are projects in deep learning, recurrent learning, and reinforcement learning.
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.
- Project Leader, Institution of physics at Gothenburg University