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 […]
Read MoreCausal Inference Working Group – Validating Causal Models…
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 […]
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 […]
On July 8th, 2021 Andreas Sudmann (CITAS, University of Regensburg) will talk within the framework of the lecture series “Rethinking Area Studies and Space from the ‘Global South’” at the University of Regensburg about the past and future of AI in Area Studies. Abstract: AI, as an area of knowledge, is at the center of […]
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 […]
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 […]
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 […]
Read MoreDigital Pathology: On the intersect of Computer Vision and Data Science…
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 […]
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 […]
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 […]
Read MoreApplying AI: How companies successfully cooperate with universities…