Netzwoche | How companies can use data science to their advantage [In German]

Introducing AIXD (AI-eXtended Design), a toolbox for forward and inverse modeling for exhaustive design exploration.

As of January 1st, 2025, the Swiss Data Science Center embraces its new role as a National Research Infrastructure.

Dear SDSC Community, we are excited to introduce SDSC News, a platform to keep you informed about the latest developments, projects,...

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.

Natural language processing, i.e. the automated processing of human language with computers, is certainly not a new discipline. Some date it back to 1950, with Alan Turing’s famous test which a machine would pass by holding a convincingly “human” conversation.

Innovation in pharmaceutical manufacturing raises key questions: How will AI change our operations? What does this mean for the skills of our workforce? How will it reshape our collaborative efforts? And crucially, how can we fully leverage these changes?