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What we do Flycatcher builds unsupervised visual anomaly detection for industrial inspection. Our system learns what normal looks like from a handful images, then flags everything else in milliseconds, on commodity hardware. No pre-labelled defect data. The
The University of Applied Sciences and Arts of Southern Switzerland (SUPSI) invites applications for a PhD position in Robotics , at the Dalle Molle Institute for Artificial Intelligence (IDSIA USI-SUPSI) within the Department of Innovative Technologies
