Collaborating Authors


Vienna Gödel Lecture 2022: Toby Walsh


TU Wien Informatics will be welcoming Toby Walsh, AI expert and "rock star" of Australia's digital revolution, for the Gödel Lecture 2022. Artificial intelligence is an essential part of our lives – for better or worse. It can be used to influence what we buy, who gets shortlisted for a job, and even how we vote. Without AI, medical technology wouldn't have come so far, we'd still be getting lost on backroads in our GPS-free cars, and smartphones wouldn't be so, well, smart. But as we continue to build more intelligent and autonomous machines, what impact will this have on humanity and the planet?

About Us


Our aim is to publish prioritized research from all over the world in terms of global health in the form of oral and summary papers without wasting time. All oral presentation sessions and conferences of the relevant month will be broadcast live on the 27th of each month on MedicReS scientific TV channel broadcasting 24 hours a day. In parallel with all the developments in technology, we delivered MedicReS 2022 Congress to all our members via MedicReS TV on our Papers coming to our congress pass through the referee system in MedicReS advisory boards, and oral abstracts are published in English in MedicReS GMR World Congress Abstracts and Congress Proceedings Book. Your oral presentations are also given to you as MP4.

Research Fellowships (at the PhD and Postdoc level) for young rising stars - Vienna, Austria


We invite the best to work with us. The institute has openings for multiple positions at any level, including tenured faculty positions, tenure-track opportunities, research fellowships, visiting professorships, software engineers, and office administrators. See the full list of our openings. Join us to help shape the future of AI. Research Fellowships are endowed with generous discretionary funds, and the complete freedom to pursue your ground-breaking academic research.

GitHub - CPJKU/madmom: Python audio and music signal processing library


Madmom is an audio signal processing library written in Python with a strong focus on music information retrieval (MIR) tasks. The library is internally used by the Department of Computational Perception, Johannes Kepler University, Linz, Austria ( and the Austrian Research Institute for Artificial Intelligence (OFAI), Vienna, Austria ( It includes reference implementations for some music information retrieval algorithms, please see the References section. Documentation of the package can be found online The package has two licenses, one for source code and one for model/data files.


AAAI Conferences

In the summer of 2014, Vienna hosted the largest scientific conference in the history of logic. The Vienna Summer of Logic consisted of twelve large conferences and 82 workshops, attracting more than 2,000 researchers from all over the world. This unique event was organized by the Kurt Gödel Society at Vienna University of Technology and held from July 9 to 24, 2014, under the auspices of the Federal President of the Republic of Austria, Dr. Heinz Fischer.


AAAI Conferences

The KR conference series is a leading forum for timely in-depth presentation of progress in the theory and principles underlying the representation and computational management of knowledge. The 2014 edition of KR is held as part of the Vienna Summer of Logic together with the Federated Conference on Logic, Logic Colloquium, and other related events, making it a very special edition.

Machine Learning Gets a Quantum Speedup


For Valeria Saggio to boot up the computer in her former Vienna lab, she needed a special crystal, only as big as her fingernail. Saggio would place it gently into a small copper box, a tiny electric oven, which would heat the crystal to 77 degrees Fahrenheit. Then she would switch on a laser to bombard the crystal with a beam of photons. This crystal, at this precise temperature, would split some of those photons into two photons. One of these would go straight to a light detector, its journey finished; the other would travel into a tiny silicon chip -- a quantum computing processor.

AI-based Re-identification of Behavioral Clickstream Data Artificial Intelligence

AI-based face recognition, i.e., the re-identification of individuals within images, is an already well established technology for video surveillance, for user authentication, for tagging photos of friends, etc. This paper demonstrates that similar techniques can be applied to successfully re-identify individuals purely based on their behavioral patterns. In contrast to de-anonymization attacks based on record linkage, these methods do not require any overlap in data points between a released dataset and an identified auxiliary dataset. The mere resemblance of behavioral patterns between records is sufficient to correctly attribute behavioral data to identified individuals. Further, we can demonstrate that data perturbation does not provide protection, unless a significant share of data utility is being destroyed. These findings call for sincere cautions when sharing actual behavioral data with third parties, as modern-day privacy regulations, like the GDPR, define their scope based on the ability to re-identify. This has also strong implications for the Marketing domain, when dealing with potentially re-identify-able data sources like shopping behavior, clickstream data or cockies. We also demonstrate how synthetic data can offer a viable alternative, that is shown to be resilient against our introduced AI-based re-identification attacks.

COVID-19 will Accelerate High-Efficiency AI in 2021


Francisco Webber: My interest in information technology arose during my medical studies when I worked with the Vienna General Hospital and could not find relevant patient information hidden in data silos. After that experience, I spent a lot of time exploring search engine technologies, looking for the ultimate search engine. The state-of-the-art approaches and the statistical modelling-based information retrieval theories behind them did not satisfy me, and at some point, I turned towards neurosciences. The Hierarchical Temporal Memory (HTM) theory, described by Jeff Hawkins for the first time in his book On Intelligence, gave me the idea that a new interpretation of how the brain processes information could be the code breaker of all hurdles encountered by natural language understanding solutions. And if yes, will that make language computable?

Dogs seem to know the basic way objects should behave, study claims

Daily Mail - Science & tech

Dogs have a sense of the basic way objects should behave, according to scientists, who say they stare longer if a computer animation breaks the laws of physics. Humans use a process known as'contact causality' from an early age to make sense of the physical environment, but little is known about the processes that non-primate animals use to make sense of the world and how things work. To better understand this in dogs, a team at the University of Veterinary Medicine, Vienna, adapted an eye tracking system used on human infants. Dogs were presented with realistic 3D animations of balls that obey and break Newton's basic laws of physics, and tracked their pupil dilation and attention span. The animals tracked the movements of balls closely throughout the study, but pupils were larger when objects in the animations broke the laws of physics.