We are a (still) young and growing institute with innovative projects and motivated young researchers. The focus of our research and teaching is on Artificial Intelligence and Machine Learning. We develop and study computational models and algorithms that permit computers to perceive and 'understand' aspects of the external world, where we interpret 'perception' in the widest sense of the word, as the extraction of useful high-level information and knowledge from complex, possibly low-level data (audio, video, image, text, sensor data, and user-item interaction data).

This requires fundamental and applied research on AI, machine learning, pattern recognition, text / data / social media mining, signal processing, statistical data modeling and classification.

Our current research has a particular focus on intelligent audio and music processing. In particular, we are among the leading research groups worldwide in the fields of Music Information  Research (MIR), Sound and Music Computing (SMC), and Acoustic Scene & Event Recognition (DCASE). Further research topics include image processing, biometrics, cryptography, and personalization.

Embedded within the Institute of Computational Perception, the Multimedia Mining and Search (MMS) and Human-centered Artificial Intelligence (HCAI), opens an external URL in a new window groups particularly target the research topics of Recommender Systems (RS), Information Retrieval (IR), Natural Language Processing (NLP), and Affective Computing, with a strong focus on ethical considerations (e.g., aspects of fairness, explainability, and trustworthiness of AI technology).

Our goal is to offer state-of-the-art research and teaching in this area, and to provide a teaching environment that permits students to get involved in real research projects as early as possible.

If you want to visit us: we have offices both in Linz and in Vienna (see box to the right).