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)
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
The workshop will take place on December 13th, 2021 via Zoom.
Discovering new molecules with desired functions or activities is crucial for human well-being by providing new medicines, securing the world’s food supply via agrochemicals, or enabling a sustainable energy conversion and storage to counter or mitigate climate change. However, the discovery of new molecules or molecular materials that are optimized for a particular purpose can often take up to a decade and is highly cost-intensive. Machine-learning (ML) methods can accelerate molecular discovery, which is of considerable importance generally, but especially in light of the COVID-19 crisis and future pandemics. To reach this goal of speeding up the discovery of new functional molecules, it is necessary to establish a dialogue between domain experts and ML researchers to ensure that ML positively impacts real world scenarios. The importance of this field has been acknowledged also by Stanford’s 2021 Artificial Intelligence index report which states that “Drugs, Cancer, Molecular, Drug Discovery” received the greatest amount of private AI investment in 2020, with more than USD 13.8 billion, 4.5 times higher than 2019. In this workshop, we are bringing together the expertise of excellent researchers in the field of ML and its applications to molecular discovery.
Prof. Stefan Rass and DI Dr.techn. Markus Gall, BSc
Meet like-minded entrepreneurs, researchers and start-ups over a breakfast in the Open Space.
If you're interested in learning more about research at the JKU, join us for the LIT Lecture Series!
This time in the OIC Forum again.