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 […]
Read MoreCausal Inference Working Group – Domain Knowledge in Probabilistic Graphical 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 […]
Read MoreCausal Inference Working Group – Validating Causal Models…
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 […]
Read MoreNew Co-Programmed Partnership on AI, Data and Robotics…
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 […]
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 […]
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 […]
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 […]
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 – […]
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 […]
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 […]
Read MoreDigital Pathology: On the intersect of Computer Vision and Data Science…