Go to JKU Homepage
Our three pillars are Machine Learning, Logical Reasoning, and Computational Perception
Managed by Prof. Sepp Hochreiter, the LIT AI Lab was created as a permanent research center at the Linz Institute of Technology (LIT). The unique environment at the Johannes Kepler University (JKU) Linz is an opportunity for the LIT AI Lab to pool the JKU’s world-class expertise in artificial intelligence (AI) to shape and advance AI research and its industrial applications.
The LIT Lab is committed to scientific excellence. We focus on theoretical and experimental research in machine learning, logical reasoning, and computational perception. We are educating the next generation of AI researchers and engineers in AI technology at various academic levels.
“Artificial Intelligence (AI) is the part of computer science concerned with designing intelligent computer systems, that is, systems that exhibit characteristics we associate with intelligence in human behaviour – understanding language, learning, reasoning, solving problems, and so on.”
(Barr & Feigenbaum, 1981)
LIT AI Lab
Location
Computer Science Building, Room S0309
Address
Johannes Kepler University Linz
Altenberger Straße 69
A-4040 Linz/Austria
Phone
+43 732 2468 9390
News & Events
News
21.05.2024
JKU Best Practice Teaching Award for Thomas Gegenhuber and Laura Thäter.
The JKU annually awards the 'Kepler Awards for Excellence in Teaching' to recognize innovation in and implementation of excellent teaching. As part of this, Thomas Gegenhuber and Laura Thäter were honored with their course 'KS Fundamentals of Integrated Management' in the 'Best Practice' category.
Event
06.05.2020
4th ELLIS Online Workshop on Covid19
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
News
29.04.2020
On failure modes of molecule generators and optimizer
On Failure Modes of Molecule Generators and Optimizers by Philipp Renz, Dries Van Rompaey, Jörg Kurt Wegner, Sepp Hochreiter, Günter Klambauer.
News
29.04.2020
Modern Hopfield Networks and Attention for Immune Repertoire Classification
Publication by Institute for Machine Learning and LIT AI Lab in cooperation with Department of Immunology and Department of Informatic, University of Oslo, Norway and Institute of Advanced Research in Artificial Intelligence (IARAI): "Immune repertoire classification with attention-based deep massive multiple instance learning" by Michael Widrich, Bernhard Schäfl, Milena Pavlović, Hubert Ramsauer, Lukas Gruber, Markus Holzleitner, Johannes Brandstetter, Geir Kjetil Sandve, Victor Greiff, Sepp Hochreiter, Günter Klambauer. Accepted as publication and spotlight talk at NeurIPS 2020.
