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A Machine learning approach to Identify patients with Resected non-small-cell lung cAnCer with high risk of reLapsE (MIRACLE)

As an interdisciplinary and multinational research project MIRACLE aims to identify patients with resected non-small […]
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Kick-off event „Dimensions of Artificial Intelligence“

In cooperation with Dresden-concept, the digital kick-off event of the Scientific Area Network (SAN) “Dimensions […]

Embedding Assisted knowledge Graph Entity Resolution (EAGER)

Entity Resolution Let’s say you’re researching something on George Bush and look at different sources […]
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Supporting Social Distancing with AI and Camera – A Demonstrator

Our emerging Living Lab will be the home to many of our competences at ScaDS.AI. To […]
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MLHPCS 2021: Call for Papers

The 2nd Workshop on Machine Learning on HPC Systems (MLHPCS) is looking for your ideas! MLHPCS […]
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AMPL Project: Kickoff

Efficiently managing and merging heterogeneous, changing data sources has become a critical success factor for […]

HEALTHINF: Best Paper Award 2021 for Dr. Ying-Chi Lin

We are happy to announce that the research paper Enhancing Cross-lingual Semantic Annotations Using Deep […]

A Data Science Christmas – Merry Christmas from ScaDS.AI

There are a lot of concerns about hygiene precautions at the upcoming holidays. Nonetheless, we […]
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ScaDS.AI at the Student Panel of DI2KG 2020 Workshop

The 2nd International Workshop on Challenges and Experiences from Data Integration to Knowledge Graphs (DI2KG) […]

Ray Reiter Best Paper Award for Baumann, Brewka and Ulbricht

The ScaDS.AI researchers Ringo Baumann, Gerhard Brewka and Markus Ulbricht recently won the Ray Reiter […]
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Honorable Mention at the Dissertation Award of the European Association for AI for Dr. Markus Ulbricht

Dr. Markus Ulbricht reached an honorable mention for his PHD thesis at the Dissertation Award […]

New joint research project on Cyber Security (ZIM network)

Today we are happy to announce the Kick-Off of a new and exiting joint research […]
funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.