ICT Journal | A platform to share the work of data scientists [In French]

The Swiss Data Science Center (SDSC), in collaboration with Empa and Bühler Group, co-organized a workshop to explore data-driven control methods in energy and manufacturing. The event brought together experts from academia and industry to discuss cutting-edge approaches like Rule-Based (RB) Controllers, Model Predictive Control (MPC) and Reinforcement Learning (RL). Participants examined real-world applications and addressed the challenges of adopting these advanced methods in production environments.

Researchers at Eawag and the Swiss Data Science Center have trained AI algorithms with a comprehensive ecotoxicological dataset. Now their machine learning models can predict how toxic chemicals are to fish.

We’ve developed a smart solution for wind tunnel testing that learns as it works, providing accurate results faster. It provides an accurate mean flow field and turbulence field reconstruction while shortening the sampling time.

PSI, ETH Zurich, and the SDSC are jointly working on automatically analysing such three-dimensional images to ease the burden of the clinicians and pathologists in identifying healthy tissue from sick ones.

Parkinson’s disease is a severe neurodegenerative disorder that affects an increasing number of people in the world. Understanding the underlying mechanisms and the neuronal basis of this disease is a key step in the endeavor to develop new therapies.