Machine Learning & Artificial intelligence
© HEAD — Genève
Thinking Machines, Gabriel Abergel, Leyla Baghirli, Aurélie Belle, Amsatou Diop, Laís Kunzendorff, Johan Pardo, 2020
© HEAD — Genève
The Reading Lantern, Vincent Belet, Tammara Leites et Jiajun Zheng, Poppy Matigot, 2019
© HEAD — Genève
Audio Playground, Hanieh Rashid, Tomislav Levak, Dorian Jovanovic, 2023
© HEAD — Genève
Cheerio AI, Amaury Hamon, Tibor Udvari, 2023
© HEAD — Genève
Satanic Scissors, Luka Najjar, Nathan, Zweifel, Margot Herbelin, 2024
© HEAD — Genève
Am I like you, Marine Faroud-Boget Narges, Hamidi Madani, Michelle Ponti, 2023
© HEAD — Genève
Visual Dictionary, Elie Hofer, Mariia Gulkova, 2023
© HEAD — Genève
Don’t Kill the cat, Daria Kotova, Lauren Thiel, 2024
© HEAD — Genève
Next move, Ares Pedroli, Andres Acosta Blaschitz, 2024
© HEAD — Genève

Machine Learning & Artificial intelligence

July 2024

Every day, we hear news about artificial intelligence (AI)  and machine learning (ML), but what exactly are these technologies, and how can we integrate them into the field of interaction design? This workshop provides students with an introduction to the fundamentals of AI and its creative applications for practitioners in art and design. Through hands-on experiences, students experiment with various tools designed specifically for artists and designers, learning to effectively integrate machine learning into their projects. 

Participants gain practical experience with accessible programming tools such as Teachable Machine, ml5.js, p5.js, and Runway while studying real-world examples that illustrate the fast-evolving landscape of machine learning in design. By the end of the workshop, students will be familiar with several key machine learning libraries and prototyping applications, which they can readily apply to their own projects. 

The workshop ends with a demo day, where students present their design ideas and prototypes that use machine vision, image recognition, and other intelligent algorithms, demonstrating the potential of AI and ML in creating engaging interactive experiences.  

Project credits 
Thinking Machines, Gabriel Abergel, Leyla Baghirli, Aurélie Belle, Amsatou Diop, Laís Kunzendorff, Johan Pardo, 2020 
The Reading Lantern, Vincent Belet, Tammara Leites et Jiajun Zheng, Poppy Matigot, 2019 
Audio Playground, Hanieh Rashid, Tomislav Levak, Dorian Jovanovic, 2023 
Cheerio AI, Amaury Hamon, Tibor Udvari, 2023 
Satanic Scissors, Luka Najjar, Nathan, Zweifel, Margot Herbelin, 2024 
Am I like you, Marine Faroud-Boget, Narges Hamidi Madani, Michelle Ponti, 2023 
Visual Dictionary, Elie Hofer, Mariia Gulkova, 2023 
Don’t Kill the cat, Daria Kotova, Lauren Thiel, 2024 
Next move, Ares Pedroli, Andres Acosta Blaschitz, 2024 
 
Teachers 
Matteo Loglio, oio studio 
Jurg Lehni  
Pierre Rossel 
Douglas Edric Stanley 

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