The SDSC and SIB are joining forces to build a secure data processing environment for personalized health research

By
SDSC
March 27, 2018
Share this post

About the author

Share this post

More blog posts

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.
Our News
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...
Blog

More news

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.
Blog
June 5, 2023

Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

Montblanc | Applying data science to enhance resource efficiency in manufacturing processes

As we endeavor to reduce global CO2 emissions to avoid the worst impacts of climate change, Bühler Group is laying the technical foundations to make real impacts on the industry’s emissions through an innovative approach to optimizing manufacturing operations.
Blog
May 30, 2023

The ICRC and the SDSC cooperate to better understand patterns of violence

The ICRC and the SDSC cooperate to better understand patterns of violence

The International Committee of the Red Cross and the Swiss Data Science Center cooperate on a research project to better understand patterns of violence. This project is a concrete example of how data science can work out an effective model based on publicly available data, delivering a measurable humanitarian impact.
Our News

Contact us

Let’s talk Data Science

Do you need our services or expertise?
Contact us for your next Data Science project!