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Data Science Collective

With the beginning of the 2019 summer semester students of the courses of Computational Sciences and Media Informatics formed a student group to jointly explore Big Data and help each other with the design and execution of individual research projects.

Who we are

Knowledge creates² Data is a project at Universität Regensburg. It combines research efforts in Big Data, Artificial Intelligence and machine learning across all faculties.

Machine learning in enterprises

A growing number of companies in the Regensburg area optimize and enhance their productivity by using Artificial Intelligence – in conjunction with the universities of Regensburg.

The digital world of work with and without artificial intelligence – part 1

The online seminar series “The digital working world with and without artificial intelligence” starts on March 11, 2021 with the topic: The digital HR assistant CARL. The event format of the Center for Digitization Bavaria – Themed Platform: Working World 4.0 (ZD.B-Themenplattform Arbeitswelt 4.0) offers companies the opportunity to present good practical examples and to […]

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Image Computing in Medicine

From March 7th to 9th, 2021, the Regensburg Medical Image Computing team of the OTH Regensburg will host the annual “Image Computing in Medicine” (Bildverarbeitung für die Medizin – BVM) workshop. The program offers tutorials, keynotes and an exciting supporting program. Medical image computing is the key technology for modern image-supported diagnostics and surgeries. German-speaking […]

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16TH INTERNATIONAL SYMPOSIUM OF INFORMATION SCIENCE

The 16th International Symposium for Information Science (ISI 2021) is being organized this year by the University Association for Information Science and the University of Regensburg. Due to the current situation it will will be held as a virtual event – like so many other events. This year’s overall conference theme is “Information between Data […]

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Impulse workshop: “Data value creation in industrial production: Introduction of AI methods”

When using artificial intelligence in their own production, many industrial companies are confronted with fundamental questions: When does an AI project make sense and what added value is associated with it? Which steps are necessary and which data should be collected? Which internal company participants have to be included? We want to discuss the way […]

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AIR – KICK-OFF WORKING GROUP ON CAUSAL INFERENCE

Last year, at the kick-off event of the network AIR (Artificial Intelligence Regensburg), the idea for a working group was given. At the start of the new year, the first meeting of the Causal Inference Working Group will take place on January 28, 2021. Daniel Grünbaum introduces the topic with a short lecture on the […]

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Webinar: Artificial Intelligence – Approaches for Industrial Practice

The “Mittelstand 4.0 Kompetenzzentrum Augsburg” (Middle class 4.0 competence center Augsburg) hostes in cooperation with the “Wirtschaftsförderung Landkreis Unterallgäu” (Promotion of economic development administrative district Unterallgäu) a webinar on February 25, 2021 from 2:00 p.m. to 3:00 p.m. that offers insight into the topic of “Artificial Intelligence”. Content: Basic knowledge “Artficial Intelligence” Practical examples of […]

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Big Data Architect – seminars series

In the seminar series “Big Data Architect” of the “Strategische Partnerschaft Sensorik e.V.” (Strategic Partnership for Sensor Technologies), the participants deal with different aspects of the topic Big Data in five modules. The individual online seminars take place from 9:00 a.m. to 5:00 p.m. The event is aimed to anyone interested with good to very […]

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INFO AND DIALOGUE EVENT OF THE NETWORK AIR (ARTIFICIAL INTELLIGENCE REGENSBURG)

The Department for Economics and Science of the City of Regensburg invites you, together with the partners of the new network AIR (Artificial Intelligence Regensburg), to an information and dialogue event about the current and planned developments in Artificial intelligence and Data Science at Regensburg. Speakers: Prof. Dr. Georg Barfuß, Consultant for Economics, Science and […]

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