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ScaDS.AI Dresden/Leipzig at GECCO 2022

Between 09.-13.07.2022, ScaDS.AI Dresden/Leipzig joined the Genetic and Evolutionary Computation Conference (GECCO) in Boston, Massachusetts. […]

ScaDS.AI Data Visualization experts at EuroVis in Rome

From June 13-17, the 24th edition of EuroVis took place in Rome. Our ScaDS.AI Dresden/Leipzig […]

ScaDS.AI at the Franco-German Workshop on AI

On 14.06.2022, ScaDS.AI Dresden/Leipzig took part in the Franco-German Workshop on AI. The event took […]

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) […]
funded by:
Gefördert vom Bundesministerium für Bildung und Forschung.
Gefördert vom Freistaat Sachsen.