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, images, sensor data, texts, or even the Internet).
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. Further research topics include biometrics, cryptography, personalization, and recommender systems.
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.

Address
Johannes Kepler Universität Linz
Altenberger Straße 69
4040 Linz
Location
Science Park 3, 4th floor
and
Aubrunnerweg 3B/1
OPENING HOURS ADMINISTRATION
Mon-Thu: 07.30 - 15.00
Phone
+43 732 2468 4700
Keynote presentation at ICAART 2021
Gerhard Widmer will give a keynote presentation at the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021).
How to break out of your Spotify feedback loop and find new music
Article based on interviews of CP member Markus Schedl and former CP member Peter Knees on diversification of Spotify music recommendations published in Wired UK.
Gerhard Widmer has been elected as an ELLIS Fellow by the European Laboratory for Learning and Intelligent Systems (ELLIS)
Ellis Fellows advance science and act as ambassadors of ELLIS. They provide strategic advice and leadership not just scientifically, but also in terms of how to build and grow ELLIS.
CP submission wins the "Judges Award" in DCASE 2020 Challenge
"Low-Complexity Cross-Device Acoustic Scene Classification with RF-Regularized CNNs" by Khaled Koutini, Florian Henkel, Hamid Eghbal-zadeh and Gerhard Widmer win the "Judges Award" in DCASE 2020 Challenge.