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Jonathan Masci

Dr. Jonathan Masci is the Director of Deep Learning at NNAISENSE, a Swiss startup bringing AI to industrial process inspection, modeling, and control. His main interest lies in the application of machine learning to computer vision, pattern recognition, graphs and time-series analysis with over 5,000 citations in the field. The algorithms he developed for the leading steel manufacturer, ArcelorMittal, were the first applications of deep learning in heavy industry. He also serves as reviewer and is a program committee member for the top machine learning and computer vision conferences and journals (NeurIPS, PAMI, JMLR, IJCV, IJCAI).

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    AI-Based Error and Anomaly Detection: How Manufacturers Can Pick the Right Service

    In order to minimize losses due to defects, manufacturers need precision during the production process. AI-based systems can be a great help here–but not all AI is created equal. Manufacturers need to understand the methods available and determine which one will help them keep defects to a minimum–or eliminate them altogether.
    By: Jonathan Masci
    26 August, 2021 | 3 minutes
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