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

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.

“DEAPSnow”, a project by the Swiss Data Science Center (SDSC) and the WSL Institute for Snow and Avalanche Research SLF, developed an Artificial Intelligence (AI) to support avalanche forecasters in creating the avalanche bulletin. This product provides essential information about the prevailing snow and avalanche conditions in the Swiss Alps and the Jura.

Ensuring compliance with privacy regulations can be a challenging task, requiring continuous monitoring and the ongoing collection of consent for data usage. The Swiss Data Custodian is an open-source framework that provides the necessary tools to govern data access and processing and enables secure and compliant data usage through contractual agreements.

Our digital self is becoming an important part of ourselves and a very descriptive representation of our physical body and mind. It is thus very important that we protect it.

Artificial Intelligence (AI) is not an alien word anymore nowadays. We see both academic and industrial institutions adopting AI topics as a part of their curriculum and use cases to accelerate existing processes. The pharmaceutical industry is one of them.

Le SDSC a développé un tableau de bord qui permet aux services du Parlement de calculer la composition des commissions du Conseil national.