Neuton.AI is an Auto TinyML platform that enables users to automatically build exceptionally tiny models without coding and natively embed them into 8, 16, and 32-bit MCUs or smart sensors! 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 sensor and tabular data, and helps to perform the most common tiny machine learning tasks such as recognizing gestures and human activity, enhancing smart home devices and appliances, creating smart human interfaces, performing predictive maintenance, monitoring device conditions, and controlling physical assets. 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
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Create TinyML Models without СompressionA 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
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Case Study Remote Control Application
This solution of <4 kb in total footprint can remotely control your media system or presentation slides through gestures. Classes: 8 Accuracy: >98.8% Inference Time: <2.5 ms Total footprint: ~4 Kb
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Case Study Tiny ML Teeth-brushing Tracking Solution
The solution can identify which specific area of your oral cavity needs cleaning and how effectively it is being cleaned. Classes: 11 Accuracy: >97% Inference Time: <2 ms Total footprint: ~4.5 Kb
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Case Study Ultra-Tiny Solution of Daily Activities Recognition
The solution is highly efficient and has a small footprint. It can recognize complex human activity and can be easily replicated on your device. Classes: 5 Accuracy: >98.5% Inference Time: <2.5 ms Total footprint: ~5 Kb
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Webinar Ultra-tiny Neuton Neural Networks at Sensors Converge 2023 - Watch now!
In case you were unable to attend Sensors Converge 2023, this remarkable presentation delves into how Neuton.AI can enhance the intelligence of even sensors leveraging ultra-tiny neural networks.
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Webinar Hand Activity Recognition WEBINAR co-hosted by Neuton.AI, Arduino and Bosch Sensortec
Watch how Ultra-Tiny Neural Networks change IOT products at the Practical Webinar from Arduino, Bosch Sensortec, and Neuton.AI. Learn how to create a Hand Activity Recognition solution on the Nicla Sense ME and Bosch smart sensor.
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Arm Tech Talk Arm Tech Talk 2023: The Next Generation Smart Toothbrush - Watch now!
Watch the presentation of an ultra-efficient teeth-brushing tracking solution leveraging Neuton's ultra-tiny Neural Networks with less than 5 Kb in total footprint in action at the Arm Tech Talk event.
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News Automated Design of Tiny Machine Learning Models: Part 2
Meet the long-awaited IEEE newsletter issue with the release of the second part of A Practical Guide with 3 full-cycle use cases illustrating the innovative Automated Design of Tiny Machine Learning Models.
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Arm Tech Talk Solving Real-World Challenges with Arm and Neuton - Watch now!
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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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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Arm Tech Talk Bottoms-up Approach to Building Extremely Small Models - Watch now!
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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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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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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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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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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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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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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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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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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