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November 2021
Applied Data Science – Use Cases and Challenges in the Semiconductor Industry
Dr. Anja Zernig | KAI Kompetenzzentrum Automobil- und Industrieelektronik GmbH Villach | Friday, November 26, 2021 | 10:00 (CET, 09:00 UTC) | S.1.42 Online: https://classroom.aau.at/b/sch-xte-ijl-jdg Abstract: AI has infected the world. Today, there is a huge hype around Data Science activities all over the world, where one of the biggest challenges for the industry is to deliver financial value quickly but also sustainably. In her talk, she will show some examples on latest Use Cases in the area of…
Erfahren Sie mehr »Januar 2022
März 2022
‚Response-able‘ AI by utilizing Feminist STS – CS Talks #8
Artificial intelligence, together with large amounts of data (Big Data), promises to enable previously unfeasible calculations, predictions and personalization. However, numerous examples of applications in medicine, recruiting or risk assessment indicate that AI systems can reproduce and intensify existing social inequalities and stereotypes, particularly with respect to race, gender or economic conditions. Such systems result in discrimination by AI technology (O’Neil 2016, Noble 2018, Benjamin 2019).
Erfahren Sie mehr »April 2022
Antrittsvorlesung Univ.-Prof. Edgar Weippl: „Sicherheit und Datenschutz – Die Eckpfeiler Digitaler Transformation“
Herzliche Einladung zur Antrittsvorlesung von Univ.-Prof. Edgar Weippl // 21.4.2022, 17:00 Uhr zum Thema "Sicherheit und Datenschutz – Die Eckpfeiler Digitaler Transformation"!
Erfahren Sie mehr »Mai 2022
Advances in Visual Quality Restoration with Generative Adversarial Networks
Thursday, May 12th 2022 | 2 pm (CET) | Room: HS 6 | Leonardo Galteri, PhD | University of Florence Abstract: In the latest years, we have witnessed a growing number of media transmitted and stored on computers and mobile devices. For this reason, there is an actual need to employ smart compression algorithms to reduce the size of our media files. However, such techniques are often responsible for severe reduction of user perceived quality. In this talk we present…
Erfahren Sie mehr »CS-Colloquium with A.M. Turing Award winner Prof. Adi Shamir
We cordially invite you to the first CS Colloquium of the year with Prof. Shamir on "A New Theory of Adversarial Examples in Machine Learning." in HS1 of the faculty building at Währinger Straße 29. CS-Colloquium mit Prof. Adi Shamir (Weizmann Institute of Science) A New Theory of Adversarial Examples in Machine Learning WHEN 17.5.2022, 13:30 WHERE HS1 Währinger Straße 29, 1090 Wien "Adi Shamir is an internationally recognized cryptographer. He has a number of claims to fame including being a co-inventor…
Erfahren Sie mehr »Juni 2022
Who deserves Cybersecurity? – CS Talk #9
Talk mit Eva Galperin, Director of Cyber Security, EFF
Erfahren Sie mehr »IT does not stop
Wednesday, June 8th, 2022 | 17:00 (CET) | Room: Z.1.09 Univ.-Prof. i. R. Dipl-Ing. Dr. techn. Hannes Werthner Abstract: We live in a “digital” world, the separation between physical and virtual makes (almost) no sense anymore. Here, the Corona pandemic has also acted as an accelerator/magnifier demonstrating that the future of our digital society is here with all its possibilities, but also shortcomings. In his talk, Hannes Werthner will briefly reflect on the history of computer science, and then discuss…
Erfahren Sie mehr »Machine Learning in Finance via Randomization
Friday, June 10th 2022 | 10:00 am (CET) | Room: N.2.35 | Josef Teichmann | Prof. at ETH Zürich Abstract: Randomized Signature or random feature selection are two instances of machine learning, where randomly chosen structures appear to be highly expressive. We analyze several aspects of the theory behind it, show that these structures have several theoretically attractive properties and introduce two classes of examples from finance (joint works with Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Martin Larsson, and Juan-Pablo…
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