No items found.

ICT Journal | Bühler relies on machine learning to separate the wheat grain from the chaff [In French]

More blog posts


March 12, 2025
First National Calls: 50 selected projects to start in 2025
First National Calls: 50 selected projects to start in 2025
50 proposals were selected through the review processes of the SDSC's first National Calls.
Blog


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.
Our News


January 22, 2025
AIXD | Generative AI toolbox for architects and engineers
AIXD | Generative AI toolbox for architects and engineers
Introducing AIXD (AI-eXtended Design), a toolbox for forward and inverse modeling for exhaustive design exploration.
Blog
More news


March 20, 2024
Efficient and scalable graph generation through iterative local expansion
Efficient and scalable graph generation through iterative local expansion
Have you ever considered the complexity of generating large-scale, intricate graphs akin to those that represent the vast relational structures of our world? Our research introduces a pioneering approach to graph generation that tackles the scalability and complexity of creating such expansive, real-world graphs.
Blog


November 6, 2023
Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
Climate-smart agriculture in sub-Saharan Africa: optimizing nitrogen fertilization with data science
Food insecurity in sub-Saharan Africa is widespread, with crop yields much lower than in many developed regions. The project aims to use laser spectroscopy to measure fluxes and isotopic composition of N2O from maize and potato crops subjected to a range of fertilization levels.
Blog
Contact us
Let’s talk Data Science
Do you need our services or expertise?
Contact us for your next Data Science project!