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SERIE DE PLACAS DE CONTROL NEUROMÓRFICAS CON INTERFAZ PCIE Las placas de control de la serie NT Adaptive PCIe con memoria neuromórfica no tienen microcontrolador y…
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MÓDULO NEUROMÓRFICO PARA RASPBERRY PI Módulo NT Adaptive con 576 neuronas, diseñado para la demostración, formación y desarrollo de las capacidades de los chips neuromórficos. El…
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Tienen a su disposición dos modelos de VASS NT Adaptive: uno para el diagnóstico de rodamientos y otro para el diagnóstico general, la detección de anomalías…
Read moreNT Adaptive.VAS representa el siguiente avance en Edge ML. El dispositivo está diseñado para el control vibroacústico de equipos rotativos, equipos de trilla y trituración, así…
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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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Why use trainable neural hardware? See how edge-based learning improves industrial recognition speed, power efficiency, deployment, and control uptime.
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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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Motor failure recognition combines vibration, current, acoustic, and thermal signals to detect faults early at the edge and protect production uptime for plants.
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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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