Algorithm

Behind the Scenes of AI — The Challenges and Methods of Explainability

AI systems have become so complex that most experts are unable to understand the intricacies of how they work. Explainability is the foundation of transparency, making it a key requirement for being able to trust algorithms.
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Save Even More Energy with Cooperative AI

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Automi Automates Large-Scale Visual Inspections

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Mastering Industrial Operations Thanks to Smart Monitoring

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A screen features DNA in front of a lab worker

Automated Analysis of Clinical Notes for Genetic Diagnosis

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Using AI to Predict Diseases in Olive Groves

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Une femme sur un parking

Parking Just Got Smarter, with Edge Video Analytics

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