16.12.2024

Teaser image to The MCML Outreach Programs in 2024

The MCML Outreach Programs in 2024

MCML Outreach Programs Inspire AI and ML Education in 2024

Throughout the year, MCML researchers have offered workshops and lectures for school classes and participated in public events to talk about machine learning and artificial intelligence.

What is AI? What is the difference between AI and Machine Learning? Can AI learn to see? How do algorithms work, and how can AI be used for the early detection of diseases? Questions like these were addressed in workshops for school classes, during the Open Day at the Campus Garching and the Lange Nacht der Museen at
Deutsches Museum.


School workshop

School workshop

Over the year, we welcomed several school classes on site in Munich and Garching that were curious to learn more about AI and machine learning. The aim of the workshops was to bring theory closer to the lives of young people, to show the impact of research and who is behind it.

The participants of these school workshops learned, for example, how machine learning algorithms can be used to predict whether a breast tumor is benign or malignant based on certain characteristics of the tumor. They actively worked with a real data set in Python software and learned how to train an algorithm to make predictions on new data and how to assess the quality of the algorithm’s predictions.

In further school workshops, the participants came to know how recommender systems work in platforms such as TikTok or Amazon. They interactively learned how to design a ranking system from data collection to the algorithm and created and optimized their own simple model. In addition, potential dangers and problems of such systems were worked out and discussed together.


Girls' Day 2024

Girls' Day 2024

Ethical questions of AI were also part of the program of the Girls’ Day in collaboration with TUM Think Tank and Women in AI & Robotics. After having been introduced to the basics of AI, to generative AI and to programming, the 45 girls participating in the day reflected together on the questions where technology can help and where it can harm.


Kick-Off KI-Trans

Kick-Off KI-Trans

To not only reach single school classes but the teachers, the MCML with its expertise in machine learning and AI supports the project KI Trans - How artificial intelligence can contribute to the transformation of the education system led by Junge Tüftler and the Chair of Primary School Pedagogy and Didactics at LMU. The project focuses on cross-institutional cooperation in the design of a hybrid further education and training program for teachers.


Pedagogy workshop

Pedagogy workshop

To constantly improve our outreach offers, the MCML provides its junior members with the opportunity to educate themselves further in didactics. During a pedagogy workshop conducted by the Computing Education Research Group at TUM, the participants received valuable tools for the preparation of workshops for both adults and children regarding the question of how to turn complex research into engaging, educational sessions.


Open Day Campus Garching

Open Day Campus Garching

Besides giving workshops, the MCML was part of the Open Day at Campus Garching and the Lange Nacht der Museen in Munich with exhibits that gave the public the possibility to learn about the basics of machine learning in a playful and interactive way. The lively attended events gave the audience the possibility to try out how Stable Diffusion, a deep learning model that generates images from text descriptions, learns the connection between image and text through a latent diffusion model process. MCML researchers also demonstrated how it is possible to simultaneously localize and map the environment using a camera and a connected IMU sensor, a method that can be used in self-driving cars, for example. Additionally, MCML researchers took part in a science slam and gave lectures.

Thank you to all the MCML researchers and the visitors who engaged in our outreach programs!

The road of AI evolution

The road of AI evolution

16.12.2024


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