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ETH Zurich | ETH Zurich promotes data science research

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June 3, 2025
The SDSC introduces the Renku 2.0 platform for collaborative research
The SDSC introduces the Renku 2.0 platform for collaborative research
The SDSC takes collaboration to the next level with its Renku 2.0 open-source collaboration platform.
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March 12, 2025
The SDSC to support 50 data science and AI projects, following first successful National Calls
The SDSC to support 50 data science and AI projects, following first successful National Calls
Press Release: The SDSC has announced its support for 50 proposals, carefully selected through its 1st National Calls.
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May 1, 2025
PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning
PAIRED-HYDRO | Increasing the Lifespan of Hydropower Turbines with Machine Learning
Hydropower accounts for almost 60% of Swiss energy production, which is likely to increase with a shift to renewable energy...
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November 5, 2018
Deepsphere | A neural network architecture for spherical data
Deepsphere | A neural network architecture for spherical data
Not all datasets are images and we need architectures that adapt to other types of data, encoding both domain specific knowledge and data specific characteristics. For instance, at the SDSC, we deal with spherical data, i.e. curved images on a sphere, but without clear borders and arbitrary orientation.
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June 25, 2021
DATALAKES | Heterogeneous data platform for operational modeling and forecasting of Swiss lakes
DATALAKES | Heterogeneous data platform for operational modeling and forecasting of Swiss lakes
The Datalakes project creates a user-friendly online platform that allows spatial and temporal analysis of lakes through hydrological and ecological data.
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