Neuton.AI is an AutoTinyML platform that enables users to automatically build exceptionally tiny models without coding and embed them into any MCU. The platform has a patented Neural Network Framework under the hood, which is not based on any existing algorithms and allows to build ML models with minimal size and without loss of accuracy. Neuton.AI supports audio, sensor, and tabular data, and helps to perform the most common tiny machine learning tasks such as creating smart human interfaces, performing predictive maintenance, monitoring device conditions and controlling physical assets, recognizing wake words, and classifying sound events. As part of Arm’s AI ecosystem, Neuton.AI facilitates the democratization of TinyML for users of any tech level. Thousands of developers worldwide use Neuton.AI to solve real-world challenges in varied domains absolutely free of charge.

Solution Briefs

  • thumbnail: Create TinyML Models without Сompression
    Create TinyML Models without Сompression

    A comprehensive approach to building exceptionally compact and explainable machine learning models, deployable on unbelievably tiny devices, even with 8-bit capacity.

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Insights

  • Solving Real-World Challenges with Arm and Neuton on September 20 at 8 AM PST Arm Tech Talk
    Solving Real-World Challenges with Arm and Neuton on September 20 at 8 AM PST

    Food safety has become a global challenge! Neuton’s 18-year-old embedded engineer, Sumit Kumar, will present an innovative AI solution that can help farmers check the quality of agrochemicals they use for their crops and avoid dangerous consequences.

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  • Automated Design of Tiny Machine Learning Models: Part 1 News
    Automated Design of Tiny Machine Learning Models: Part 1

    Together with colleagues from STM, Neuton's team shares a new approach to creating TinyML models in the article, published in the latest IEEE newsletter issue.

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  • Bottoms-up Approach to Building Extremely Small Models Arm Tech Talk
    Bottoms-up Approach to Building Extremely Small Models

    Join Arm & Neuton at our AI Tech Talk to hear all about Neuton’s approach to building models 1000x smaller and faster than competing frameworks.

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  • Making the Famous Magic Wand 33x Faster Case Study
    Making the Famous Magic Wand 33x Faster

    Most of “magic wand” experiments are created using TensorFlow codes and Arduino’s Nano 33 BLE board with Cortex-M4F Arm processor. Is it possible to automatically create a faster and more accurate magic wand, given the same hardware? Let’s find out!

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  • Using AI-based Sensor Fusion for Smoke Detection Case Study
    Using AI-based Sensor Fusion for Smoke Detection

    Can AI save lives? Definitely yes! Learn how to implement sensor fusion and tiny machine learning to detect smoke and get notified in a timely way if a fire starts.

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  • Predictive Maintenance of Compressor Water Pumps Case Study
    Predictive Maintenance of Compressor Water Pumps

    Ever thought about how water enters the central heating pipes? The secret is the proper operation of water pumps. Learn how to use RSL10 sensors and Neuton to run models for timely pump maintenance.

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  • TinyML Summit 2022. The ideal weight for a tinyML model is less than 1Kb! Webinar
    TinyML Summit 2022. The ideal weight for a tinyML model is less than 1Kb!

    Our CTO, Blair Newman, made a sensational statement at the tinyML Summit 2022 in March as he declared that the ideal weight of a tinyML model is <1 Kb!

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  • TinyML Cookbook release Webinar
    TinyML Cookbook release

    A great chance for you to meet the author of the TinyML Cookbook, Gian Marco Iodice, a team and tech lead in the Machine Learning Group at Arm, Co-founder of the tinyML Foundation UK and get useful knowledge from the Arm, Arduino, and Neuton teams!

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  • Tiny Machine Learning for Edge Devices in three clicks Webinar
    Tiny Machine Learning for Edge Devices in three clicks

    Watch a special practical master class organized by Neuton.AI in collaboration with the IEEE-Eta Kappa Nu club and Arm.

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  • Finalists for 2022 Go: Tech Awards announced News
    Finalists for 2022 Go: Tech Awards announced

    Neuton.AI became the finalist for the 2022 Go:Tech Awards in the AI/Machine Learning category! Find out more about the Award and all 14 categories in this post.

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  • MLOps for Edge compute IOT Use Case with GCP, MQTT and Neuton TinyML Blog
    MLOps for Edge compute IOT Use Case with GCP, MQTT and Neuton TinyML

    The era of industrial IoT provokes new challenges - now engineers need to deploy ML models to the IoT devices that have lower memory/RAM footprint and lower CPU. Learn how to easily implement IoT use cases with TinyML or Deep Learning in this piece.

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