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Swiss Academy of Engineering Sciences SATW
Fair data use starts with asking the right questions
Data helps businesses to better understand their target groups and tailor their offerings more effectively. However, not everything that is technically possible is also responsible. How can SMEs ensure that they use data fairly and transparently? The Data Fairness Label from Swiss Insights offers practical guidance on this.
Swiss Academy of Engineering Sciences SATW
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Machine learning demystified: understanding superhuman performance
Artificial intelligence can outperform humans in certain tasks. But how meaningful are such achievements, and where are the limits? The key factors are the quality of the training data, realistic performance tests and the transparency of the results. What businesses need to know to deploy AI systems reliably.Swiss Academy of Engineering Sciences SATW
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Technology Days 2026: Switzerland as a spacefaring nation
The 2026 Technology Days in Lausanne and Dübendorf demonstrated how Swiss research and industry are helping to shape the space sector. The award of the 2029 International Astronautical Congress to Geneva underlines the international significance of Switzerland as a centre for space activities.Swiss Academy of Medical Sciences SAMS
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Policy recommendations for AI in European healthcare
AI systems are already being used in many areas of healthcare. How can we ensure that AI delivers patient-centered benefits while being used safely, transparently and fairly? A report sets out recommendations for the responsible use of AI in European healthcare.