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Académie suisse des sciences techniques SATW

Making complex data easy to understand

Data often contains more knowledge than is apparent at first glance. Small and medium-sized enterprises (SMEs) in particular are faced with the task of utilising unstructured information such as customer feedback or operating logs in a meaningful way. A new method from research can help here: so-called hyperbag graphs. These represent data as networks in which relationships, patterns and weightings between different elements can be recognised - for example, how frequently certain topics occur together.
  • Académie suisse des sciences naturelles SCNAT

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    Combien pourrait coûter une nouvelle centrale nucléaire en Suisse et quelles en seraient les conséquences pour les pouvoirs publics ?

    Les Académies suisses des sciences ont analysé les coûts et les risques financiers liés à la construction d'une centrale nucléaire en Suisse, en s'appuyant sur des données empiriques et des estimations internationales. Les incertitudes sont grandes : la construction d’une nouvelle centrale nucléaire pourrait coûter environ quinze milliards de francs, voire même trois fois plus selon la taille de l'installation et l'évolution des coûts. Une nouvelle construction ne serait probablement finançable qu’avec un soutien public important, soulignent les Académies dans un nouveau rapport.

  • Académie suisse des sciences techniques SATW

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    The PFAS dilemma: Why replacing and phasing out these substances is becoming a project for generations to come

    Headlines about PFAS are becoming increasingly frequent: this group of substances, which went unnoticed for a long time, is everywhere – even in food and in the bodies of humans and animals – and it is not simply going to disappear. Whilst environmental and consumer protection campaigners are pushing for a swift end to exposure, industry is searching for alternatives for key technologies. However, the path to a PFAS-free future is a generational project that will challenge business, research and society for decades to come. In an interview with SATW, Manfred Heuberger (Empa), Martin Scheringer (ETH Zurich) and Dominique Werner (Scienceindustries) explain what the biggest challenges are when dealing with PFAS.
  • Académie suisse des sciences techniques SATW

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    Why we trust a lift, but not yet an AI

    In our day-to-day lives, we often rely on technology without giving it much thought. Standards establish common rules for this. When it comes to artificial intelligence, these rules are particularly important because they help determine safety, trust and market access.
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