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Parallel Session - Sponsor

EI-14 – Bringing AI to the Edge – A Collaborative Study of Defect Detection in Surface Mount Devices

Congress Enabling IOT

Wednesday 30, 13:50h - 14:35h
30-10-2019 13:50 30-10-2019 14:35 Europe/Madrid EI-14 – Bringing AI to the Edge – A Collaborative Study of Defect Detection in Surface Mount Devices

The Internet of Things presents exciting opportunities to apply artificial intelligence for transformative business growth. Advanced analytics methodologies and embedded AI help companies understand and process IoT data, resulting in meaningful business outcomes. This confluence of AI and IoT, also known as AIoT, will run the entire gamut from personalization in healthcare for the connected patient to the prediction of component failures in large industrial assets. What are the benefits of augmenting traditional rules-based systems with adaptive learning systems in the world of IoT? Moving up another level, what will new innovations in computer vision technology bring to the IoT? The possibilities are limitless: enhanced industrial safety, traffic monitoring for smart city initiatives, drone inspections in agriculture that monitor health of crops, and much more. These applications will continue to improve with faster processors, more advanced machine learning algorithms and deeper integration with edge devices. In this session, pa


The Internet of Things presents exciting opportunities to apply artificial intelligence for transformative business growth. Advanced analytics methodologies and embedded AI help companies understand and process IoT data, resulting in meaningful business outcomes. This confluence of AI and IoT, also known as AIoT, will run the entire gamut from personalization in healthcare for the connected patient to the prediction of component failures in large industrial assets. What are the benefits of augmenting traditional rules-based systems with adaptive learning systems in the world of IoT? Moving up another level, what will new innovations in computer vision technology bring to the IoT? The possibilities are limitless: enhanced industrial safety, traffic monitoring for smart city initiatives, drone inspections in agriculture that monitor health of crops, and much more. These applications will continue to improve with faster processors, more advanced machine learning algorithms and deeper integration with edge devices. In this session, pa

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