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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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What are trainable neural controllers? Learn how edge-based recognition hardware is trained on examples to classify signals and drive industrial decisions.
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Embedded AI controller integration guide for selecting hardware, training models, connecting sensors, and validating real-time industrial control systems.
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Image based equipment inspection brings real-time condition recognition to the edge, reducing latency, network load, and unplanned maintenance risk early.
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Machine perception for industrial equipment turns video, vibration, audio, and process signals into fast edge decisions for monitoring and control live.
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Learn how to deploy neural controllers for low-power industrial recognition, from signal design and training to edge validation and control integration.
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AI controllers vs PLC systems differ in deterministic control, perception, training, and deployment. Learn where each architecture fits production well.
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