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SERIES OF NEUROMORPHIC CONTROL BOARDS WITH PCIE INTERFACE Neuromorphic memory NT Adaptive PCIe series control boards have no microcontroller and can be mounted in any PC…
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NEUROMORPHIC MODULE FOR RASPBERRY PI NT Adaptive Module with 576 neurons designed for demonstration, training, developing of neuromorphic chips capabilities. The module is easily connected to…
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During the configuration and training phase, VASS NT Adaptive learns the data without any prior knowledge of the current operating modes; when the number of learned…
Read moreNT Adaptive.VAS is the next word in Edge ML. The device is intended for vibration-acoustic control of rotation equipment, threshing and crushing equipment and electric motors.…
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Neuromorphic manufacturing brings trainable edge intelligence to inspection, condition monitoring, and real-time machine control on the factory floor.
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A neural controller retrofit adds trainable edge recognition to existing industrial equipment for fast local decisions without replacing proven controls.
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Learn how to teach controllers new signal patterns for fast, low-power edge classification in vibration, audio, image, and process monitoring systems.
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Learn how to configure adaptive recognition for industrial edge AI, from signal capture and training to thresholds, validation, and deployment on site.
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Neural controller accuracy depends on training data, sensing, thresholds, and edge deployment. Learn how to measure and improve it in industry systems.
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Compare edge controllers vs industrial PCs for real-time industrial AI, machine vision, signal analysis, power budgets, integration, and lifecycle support.
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