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How neuromonitoring can prevent post-operative brain damage

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Analysing signal data in intraoperative neuromonitoring using machine learning - Simon Koller won over the jury at the DMEA in Berlin with this…
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Federated Learning: The Future of AI Without Compromising Privacy

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Federated Learning (FL) has become a paradigm-shifting technology in AI, allowing data scientists to work with private data. In comparison to…
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Fairness and Bias in AI Applications for the Labor Market

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For the 2024 Applied Machine Learning Days (AMLD) conference held at EPFL, the BFH Applied Machine Intelligence group and NLP expert Dr. Elena…
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“We seek a relationship in every interaction – even with AI”

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AI is already present in many areas, even if this is not always obvious. Awareness of this is particularly important in sensitive contexts such…
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Resource paradoxes of digital transformation (1) – the digital death of productivity

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Today's world is characterised by exuberant diversity - the number of human tasks is growing and the number of solution tools is increasing.…

More than a chatbot – how AI can be used responsibly in companies

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ChatGPT, Midjourney & Co. have shown how much potential software with machine learning has. However, in order to shape this change responsibly,…