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LIT Artificial Intelligence Lab

Our three pillars: Machine Learning, Logical Reasoning, Computational Perception

The LIT AI Lab headed by Prof. Sepp Hochreiter was founded as a permanent research center of the Linz Institute of Technology (LIT). In the unique environment offered by the Johannes Kepler University (JKU) Linz, the LIT AI Lab bundles JKU’s world-class expertise in artificial intelligence (AI) for shaping and advancing AI research and its industrial applications.

The LIT Lab is committed to scientific excellence. Our focus is on theoretical and experimental research in machine learning, logical reasoning, and computational perception. We train the next generations of AI researchers and educate engineers at various academic levels in AI technology.


 “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)



Computer Science Building, Room S0309


Johannes Kepler University Linz
Altenberger Straße 69
A-4040 Linz/Austria


+43 732 2468 9390


News & Events

News 23.02.2023

Winner of the AI School of the Year at JKU Linz's AI Program

As part of the Federal Competition for Artificial Intelligence, or BWKI, which was organized by the Austrian Society for Artificial Intelligence (ASAI) and sponsored by the Federal Ministry for Climate Protection, Environment, Energy, Mobility, Innovation and Technology (BMK), an AI course was offered to high school students. At the course, students were able to acquire practical knowledge about Machine Learning and Deep Learning, the key technologies for modern AI, and put it into interactive tests. In the process, the participants from Vienna's HTL Rennweg scored by far the most points in all of Austria, earning them the title of AI School of the Year. Their computer science teacher DI Dr. Harald Zainzinger motivated the students to this remarkable achievement as part of the free subject Artificial Intelligence.

Together with the BWKI winning team of the prize "AI for Green" from HTL Spengergasse, the winners visited the poster session of the master theses of the AI study at the Johannes Kepler University Linz (JKU) on 19.01.2023.

This allowed them to get in direct contact with the students and ask questions about their research and research results. This gave the students an insight into current research and information about what development opportunities the AI program at JKU offers. It was a valuable experience for the students and a great opportunity to network, talk to professors and students and also meet representatives of ÖH-JKU. This gave the students an unusually direct and deep insight into research topics at JKU, which everyone involved found very enriching.

We would like to thank the BWKI team at ASAI, DI Dr. Bernhard Nessler,

Priv.-Doz. Dr. Bernhard Moser, Valentina Lackstätter and the organizer of the AI poster session Dr. Sebastian Lehner from the Institute for Machine Learning & LIT AI Lab for the great collaboration and we are looking forward to offering more joint events in the future in cooperation between ASAI and ELLIS Unit Linz / JKU and to give students in Austria the opportunity to develop their talents and interests in AI.



Event 18.01.2023

ELISE 2nd Open Call - Webinar 1

Are you excited to learn more about ELISE 2nd open call? Join our first webinar online!

Elise webinar
News 10.01.2023

ELLIS research programs: Two new proposals accepted

Great news! We are excited to announce that the proposals ‘Machine Learning for
Molecule Discovery’ and ‘Learning for Graphics and Vision’ have been accepted as new ELLIS programs.
They will push the scientific boundaries of their respective areas by fostering exchange and research
collaborations among outstanding researchers in Europe.

News 13.12.2022

The New ELLIS Program: The JKU Spearheads AI Molecular Research in Europe

Be it image recognition software, chatbots, or a browser’s search algorithm, self-learning systems are now an undeniable part of everyday life.