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Survey results

In the summer semester 2020 and winter semester 2020/2021, we surveyed students of the University of Regensburg on Artificial Intelligence, Machine Learning and Big Data. The answers are now online!

To the results

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.

Causal Inference Working Group – Validating Causal Models

The meetings of the Causal Inference Working Group serve as a platform for collaboration and discussion, focussing on causal data analysis in academia and industry. Using causal techniques, the group aims to develop intelligent strategies for data analysis that surpass the correlation based approach of classical statistics, in order to distill robust causal information from […]

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New Co-Programmed Partnership on AI, Data and Robotics

The European Commission and the newly established AI, Data and Robotics Association (Adra) signed a public-private partnership to jointly invest 2.6 Billion Euro. “Artificial intelligence, data and robotics are at the core of the ongoing digital transformation of Europe. This transformation will have a profound impact on European businesses as well as European science; it […]

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The CLAIRE Innovation Network

Europe has an impressive number of strong businesses in all shapes, markets and sizes; it is also home to some of the world’s strongest Artificial Intelligence (AI) scientists, research groups and centres as well as universities. However, Europe lags behind other regions in turning AI technologies into global products, platforms and services. CLAIRE has not […]

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Symbolic, Statistical, and Causal Representations

On July 13, 2021, Prof. Bernhard Schölkopf gives a lecture on a new approach to machine learning at I-AIDA. Abstract: In machine learning, we use data to automatically find dependencies in the world, with the goal of predicting future observations. Most machine learning methods build on statistics, but one can also try to go beyond […]

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Official CLAIRE Brussels Office Opening

On Friday, June 25th, 2021, “CLAIRE – Confederation of Laboratories for Artificial Intelligence Research in Europe” officially opens their new office in Brussels. This event is the final part of a event series celebrating the launching of four new offices across Europe – Zurich, Oslo, Paris and Brussels. The theme of the event is “AI […]

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Meeting of the Working Group “AI in Logistics”

The IT logistics cluster invites to the second virtual meeting of the working group “AI in Logistics” on July 6th, 2021. This meeting should focus on the topic “Data – The Basis for the Successful Use of AI in Logistics”. Nowadays, many companies accumulate large amounts of data from which valuable knowledge can be generated […]

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Modern approaches to eye-movement event detection: machine learning and deep neural networks

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 […]

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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 […]

Read MoreVirtual panel discussion: Artificial intelligence – quanta, AI and Konrad Zuse in the massage salon of the universe