Exhibition

Student poster session, Advanced machine learning with neural networks

This event showcases the group projects of the students of the course TIF360/FYM360 – Advanced machine learning with neural networks.

Overview

People who are interested are welcome to drop by and engage with the students between 13 and 17. About 20 different projects will be presented. No registration is necessary.

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.