Institute of Complex Systems
Planning deep excavations is a long, complex but a very common task for geo-technical engineers. Through a collaboration of iCoSys and iTec, the Optisoil project uses machine learning to greatly speed up the process of evaluating a given deep excavation configuration. It also enables new possibilities, such as automatically finding the optimal solution to a […]
The deep learning micro-services library of iCoSys is extending with a NLP multilingual sentiment analysis. Check it out at here More precisely, we have built a polarity detection of text. The polarity is a number between 0 and 1 and texts with polarity values closer to 0 are negative, and positive if closer to 1. […]
iCoSys is proud to present SwissCrawl, the largest Swiss German text corpus to date! The tool was built by Lucy Linder with the supervision of Jean Hennebert & Andreas Fischer and is composed of more than half a million sentences, which were generated using a customized web scraping tool that could be applied to other […]
How can iCoSys help researchers and clinicians fight against the COVID-19 ? Our colleague Dr Beat Wolf developed with Phenosystems SA a graphical data analysis tool for genetic data since 2012 : GensearchNGS. He expanded it now to include the SARS-CoV2 virus genome, to help researchers and clinicians work against the virus. GensearchNGS allows geneticists to work with […]
At iCoSys we bet on an Industry 4.0 future. Lorenz Rychener, Frédéric Montet & Jean Hennebert asked themselves about how to detect anomalies of production machines by using machine learning ? They wrote a reflection about the impact of using machine learning algorithms to increase the reliability of industrial process and also highlight the advantages of such […]
Technology Assessment Switzerland – TA-SWISS published the results of the project “When Algorithms Decide for Us: The Challenges of Artificial Intelligence” on April 15, 2020. Our iCoSys collaborator Jean Hennebert is a member of the TA-SWISS steering committee and chaired the project support group.