On June 30, 2021 Raimondas Zemblys from Smart Eye AB (Sweden) will talk within the framework of the lecture series “Eye-Tracking 4.0: Understanding Seeing in Art and Science” of the University of Regensburg about the connection of eye-tracking with methods of machine learning and deep neural networks. Wednesday, 06-30-2021, 06.00 p.m. – 08.00 p.m., virtual […]
Digital Pathology: On the intersect of Computer Vision and Data Science
Due to the proliferation of whole-slide-imaging (WSI) digital scanners it is now possible to leverage computer vision, image analysis, and machine learning techniques, such as deep learning to process the digital pathology images in hopes to derive, diagnosis and prognosis markers. The convergence of digital imaging, data science and pathology gave rise to a new […]
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Virtual panel discussion: Artificial intelligence – quanta, AI and Konrad Zuse in the massage salon of the universe
The Regensburg School of Digital Sciences (RSDS) cordially invites to the panel discussion “Artificial intelligence – quanta, AI and Konrad Zuse in the massage salon of the universe”. At the beginning of the event, Prof. Dr. Wolfgang Mauerer will give a keynote speech. Panelists: Prof. Dr. Wolfgang Mauerer: Faculty of Mathematics and Computer Science, Technical […]
AI Campus East Bavaria: Cross-border commuters and bridge builders – Interdisciplinary perspectives on AI
The AI Campus East Bavaria organizes a workshop on June 22, 2021 on the subject of “Cross-border commuters and bridge builders – Interdisciplinary perspectives on AI” for the scientific exchange between the universities in Eastern Bavaria on the diverse areas of application of AI. Scientists at universities in Eastern Bavaria present the applications and challenges […]
Applying AI: How companies successfully cooperate with universities
Only a few companies are currently using AI in their processes. There is a lack of the necessary expertise on the technology. Companies also rarely have the necessary large amounts of data in sufficient quality to implement successful business models with AI, or their IT infrastructure cannot withstand the requirements of AI. Good and close […]
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Russian-Bavarian Online Workshop “Artificial Intelligence and Law”
The use of AI technologies raises numerous questions regarding the responsibility and liability for undesired outcomes. Who will be responsible for mistakes made by autonomous systems or for damage done by them? Can existing laws be applied to new AI technologies? How should AI be regulated by law? The aim of the workshop is to […]
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Precious data – How AI methods help to use the wealth of data available in companies
In today’s knowledge society, all kinds of information are available to us within a few seconds and with just a few clicks. But it is both a blessing and a curse. On the one hand, there is unlimited access to a wide variety of topics; on the other hand, this mass makes it difficult to […]
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From the Makers of Haystack: Ask your Data with Neural Search (in German too!)
The next meeting of the Data Science @ Regensburg – meetup group will highlight an area that combines natural language processing and search – automatic Question-Answering. In the last few years plenty of new advances have been made in this area, but primarily for languages such as English. But recently a German QA data set […]
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Mastering digitization “Artificial Intelligence”
While large internet corporations are already generating significant parts of their turnover with the help of methods from the field of “artificial intelligence”, the conditions for their application are still lacking in the manufacturing sector. At the same time, useful applications are not always easy to identify. As part of our consultation-hours, experts from the […]
Hybrid AI for knowledge representation and model-based medical image understanding
Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their relationships. Prof. Isabelle Bloch shows in her talk the contribution of hybrid artificial intelligence, combining different types of formalisms and methods, and combining knowledge with data. Knowledge representation may rely on symbolic and […]
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