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.
Created in 2017 as a permanent research institution, the LIT AI Lab started with three seed groups conducting core AI research:
The ELLIS Unit Linz comprises nine ELLIS faculty members, including Martina Seidl and Theresa Roland, the two ELLIS members Bernhard Nessler and Johannes Brandstetter, and the four ELLIS fellows Sepp Hochreiter, Armin Biere, Gerhard Widmer and Johannes Fürnkranz, as well as ELLIS scholar Günter Klambauer. The ELLIS Unit Linz includes the recently founded Institute of Advanced Research Artificial Intelligence, opens an external URL in a new window (IARAI) that also contributes to the ELLIS PhD and PostDoc Programme, opens an external URL in a new window, educating ELLIS PhD students and providing post-doctoral training to the best young researchers in the field.
ELLIS Unit Linz
Address
Johannes Kepler University Linz
Altenberger Straße 69
A-4040 Linz/Austria
Location
Computer Science Building, Room S0309
In summer 2021 the LIT AI Lab/ ELLIS Unit Linz Seminar has kicked off, which shall bring together researchers and students interested in the field of Artificial Intelligence. Here you can find more information.
Name | Position | Telephone number |
Mag. Doris Kaiserreiner | ELLIS Manager | +43 732 2468 9391 |
Jenny Joana Knauth, MA | ELLIS Administration | +43 732 2468 9390 |
The European Laboratory for Learning and Intelligent systems (ELLIS) is a pan-European effort initiated in 2018 to foster European research excellence in machine learning and related fields. It aims to offer European researchers outstanding opportunities to carry out their research in Europe, and to nurture the next generation of European young researchers in this field of strategic importance. Its goal is to enable Europe to be competitive in modern AI and benefit from positive economic and societal impact.
ELLIS´ mission ist to benefit Europe in two ways:
On December 11th 2019 at the Conference on Neural Information Processing Systems (NeurIPS), the leading international conference on machine learning, ELLIS announced the establishment of the first 17 ELLIS units across 10 European countries and Israel. Built around outstanding AI researchers, the newly established research units are devoted to tackling fundamental challenges in AI with a focus on research excellence and societal impact. An open call resulted in 28 proposals from 13 countries, each of which committed local funding of at least 1.5 Mio € per year for at least five years, 20% thereof reserved for ELLIS network activities such as student and faculty exchanges and the organization of joint ELLIS research programs and workshops. Proposals from Alicante, Amsterdam, Copenhagen, Darmstadt, Delft, Freiburg, Helsinki, Linz (LIT AI Laboratory), Lausanne, Leuven, Oxford, Prague, Saarbrücken, Tel Aviv, Tübingen, Vienna (IST Austria) and Zürich (ETH Zürich) were selected by an international evaluation committee, based on proven scientific excellence and the implementation of measures to foster the ELLIS mission. To avoid conflicts of interest, all the reviews were done by scientists of countries different from the units being evaluated. The list of directors of ELLIS units includes European researchers such as Wolfram Burgard, Sepp Hochreiter, Thomas Hofmann, Sami Kaski, Nuria Oliver, Bernhard Schölkopf, Yee Whye Teh, Luc van Gool and Max Welling.
Geoffrey Hinton, Turing Award winner, Emeritus Professor of Computer Science at the University of Toronto, an engineering Fellow at Google and one of the leading scientists in AI, says: "Deep learning is at the core of the staggering progress we are witnessing in AI today. Companies such as Google, Facebook, Amazon, Apple and Microsoft are investing billions in developing this technology. If Europe wants to keep up with North America and China, it needs to focus its major AI investments on deep learning."
A number of European companies have already stated their support of this initiative, including Audi, AVL, Bayer, Bosch, DeepMind, Greiner, Porsche, Siemens as well as US companies such as Amazon, Facebook, Google, NVIDIA, Qualcomm and the Canadian startup Element AI.
Topic:
Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network
Team:
As part of the Federal Competition for Artificial Intelligence, or BWKI, which was organized by the Austrian Society for Artificial Intelligence…
Are you excited to learn more about ELISE 2nd open call? Join our first webinar online!
Great news! We are excited to announce that the proposals ‘Machine Learning for
Molecule Discovery’ and ‘Learning for Graphics and Vision’ have been…
Be it image recognition software, chatbots, or a browser’s search algorithm, self-learning systems are now an undeniable part of everyday life.
AI for Good - The ELLIS Unit Linz is proud to announce the 2nd ELLIS Doctoral Symposium. The conference will take place between September 19 - 23,…
The workshop will take place on December 13th, 2021 via Zoom.
Discovering new molecules with desired functions or activities is crucial for human…
A city of music just the way you like it
Project Manager: Markus Schedl
Institute of Computational Perception / LIT AI Lab
First talk by Richard Küng, Institute for Integrated Circuits, Johannes Kepler University Linz
We are pleased to announce the second central call for applications for the ELLIS PhD Program. The ELLIS PhD Program is a core element of the ELLIS…
ELISE, a network of artificial intelligence research hubs, is based on a high level research focused om disseminating its findings and expertise in…
Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
In our new paper, we identify and counter domain shifts in machine learning models for COVID-19 diagnosis from blood tests:
The dramatic increase in using of Artificial Intelligence (AI) and machine learning methods in different fields of science becomes an essential asset…
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
On Failure Modes of Molecule Generators and Optimizers by Philipp Renz, Dries Van Rompaey, Jörg Kurt Wegner, Sepp Hochreiter, Günter Klambauer.
Publication by Institute for Machine Learning and LIT AI Lab in cooperation with Department of Immunology and Department of Informatic, University of…
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.
This online workshop will present projects on how to tackle Covid-19 using methods of machine learning and AI.