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RTS | How to cohabit with ChatGPT? [In French]
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October 10, 2024
Data-Driven Control Methods in Energy and Manufacturing
Data-Driven Control Methods in Energy and Manufacturing
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.
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July 19, 2024
Eawag | Establishing machine learning as alternative to fish testing
Eawag | Establishing machine learning as alternative to fish testing
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.
Our News
May 1, 2024
Smartair | An active learning algorithm for real-time acquisition and regression of flow field data
Smartair | An active learning algorithm for real-time acquisition and regression of flow field data
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.
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April 9, 2019
The "Deep Dive" of natural language processing | Part 2
The "Deep Dive" of natural language processing | Part 2
Deep learning – the area of machine learning generating its models from deep neural networks – has revolutionized the way we think of machine learning problems.While its disruptive force initially hit the field of computer vision with the massive adoption.
Blog
May 2, 2019
ACE-DATA | Antarctic circumnavigation expedition – delivering added value to Antarctica
ACE-DATA | Antarctic circumnavigation expedition – delivering added value to Antarctica
Understanding the complexity of the Earth systems and our climate is important to be able to make predictions about how they may change in the future. To do this, scientists use models which describe the relevant processes.
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