Artificial Models for Multimodal Creativity: Part 2

Fach laut Studienplan

Multimedia

Lehrende

Termin

April 11 (online) May 2 (online), May 16 – 14:30-17:30 Theoretical class May 23, June 6, 20, 27 – 14:30-18:30 Practical class Unless stated otherwise, the course will be held in person.

Raum

ELA 5 (Grün 005)

Dauer

2 Semesterwochenstunden

Beschreibung

This course provides foundational skills and practical experience in integrating machine learning models into artistic practices, focusing on both sound and visual arts.

Core Topics:
1. Python Basics and Machine Learning Foundations: Introduction to Python, practical exercises, fundamentals of PyTorch for deep learning;
2. Symbolic Data and Generative Models: Representation and manipulation of symbolic data, working with MIDI databases, introduction to AI-driven symbolic generation;
3. Realtime AI in Multimedia Systems: Stable Diffusion for AI-generated video, Mediapipe for motion tracking, integration of AI tools inside TouchDesigner for interactive media.

Literatur

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

Bemerkung

The course is conducted in English and is offered in a hybrid format. 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 Max, Python and TouchDesigner is not required, students are expected to independently acquire the basic 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

Module

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