Artificial Models for Multimodal Creativity: Part 1
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- Subject according curriculum
- Multimedia
- Teachers
- Alessandro Anatrini
- Scope
- Format: In-person, monthly block seminars (14:30-19:30). Schedule: 10.10, 17.10, 7.11 (online session), 5.12, 9.1.
- Room
- ELA 5 (Grün 005)
- Duration
- 2 Semesterwochenstunden
- Description
This practical course provides the foundational skills to integrate machine learning into creative work. Through monthly intensive seminars, students will gain hands-on experience in generating and manipulating audio and video using contemporary AI models.
Core Topics:
1. technical setup: Python, essential libraries, and Jupyter notebooks.2. ML Fundamentals: Core concepts of neural networks and data preprocessing for art.
3. audio generation: Hands-on work with models like RAVE and FluCoMa for analysis and synthesis, focusing on dataset curation and deployment in environments like Max/MSP.
4. video generation: Practical application of Stable Diffusion and TouchDesigner for creating and controlling generative video.
- Literature
1 Sofian Audry: "Art in the Age of Machine Learning", MIT Press, 2021;
2. David Foster: "Generative Deep Learning. Teaching Machines to Paint, Write, Compose, and Play" (2nd edition), O'Reilly, 2023 - (excerpts);
3. additional material provided by the instructor;- Credits
- 4 Creditpoints
- Comments
The course is conducted in English and is offered in person. It is structured as an annual program, and students are strongly encouraged to attend the entire course to gain the full benefit. Although prior knowledge of Python is not required, students are expected to independently acquire the basic Python skills necessary to understand the essential concepts covered in the course. During the first class, suggestions and links for learning the fundamentals of Python online will be provided.
For further details, contact the instructor at alessandro [dot] anatrini [at] hfmt-hamburg [dot] de
- Modules
- CoPeCo, Multimediale Komposition (Jazzkomposition Master), Technisches Wahlmodul 1 Multimediale Komposition Master, Technisches Wahlmodul 2 Multimediale Komposition Master, Berufsvorbereitendes Wahlmodul Master, Wahlmodul freie Wahl (alle Studiengänge), Wissenschaftliches Modul Multimediale Komposition Master