Product Overview of Neuton TinyML
Neuton TinyML is an innovative, automated no-code platform designed to empower users to build and deploy extremely compact machine learning models, even on the smallest of devices. Here are the key features and functionalities of Neuton TinyML:
Core Functionality
- Automated Model Creation: Neuton TinyML allows users to create neural networks without any coding or extensive machine learning experience. The platform automates the entire process, from data upload and validation to model training and prediction.
Unique Neural Network Framework
- Patented Algorithm: Neuton TinyML uses a patented neural network framework that is not based on any existing frameworks or non-neural algorithms. This framework grows the network neuron by neuron, adjusting coefficients to optimize model performance.
Compact and Efficient Models
- Ultra-Tiny Models: The models created by Neuton TinyML are significantly smaller, often up to 10 times smaller than those generated by other frameworks. This compactness allows them to be deployed on 8-bit, 16-bit, and 32-bit microcontrollers and smart sensors without compromising accuracy.
Ease of Use
- Intuitive Interface: The platform features a single web interface for both training and prediction, guiding users through a simple, three-click process: upload, train, and predict. This interface is user-friendly, with minimal technical terms, and does not require coding for infrastructure provisioning and setup.
Automated Infrastructure and Preprocessing
- Automated Infrastructure Provisioning: Neuton TinyML automates the creation of buckets for datasets, enables virtual machines for training, and deprovisions VMs when experiments are complete. It also automates the selection of settings, preprocessing, and feature engineering, including filling in missing values and combining original features.
Support for Various Tasks
- Common TinyML Tasks: The platform supports a wide range of common tiny ML tasks such as gesture recognition, vital sign determination, human-machine interface, human activity recognition, machine fault classification, and asset tracking and monitoring.
Deployment and Inference
- Fast Inference Time: Models built with Neuton TinyML demonstrate fast inference times and can be deployed and run on the smallest MCUs and programmable sensors. Users can run inference on both microcontrollers and desktop environments.
Explainability and Support
- Explainability Office: Neuton TinyML includes comprehensive explainability tools, ensuring that the models are transparent and understandable. The platform also offers extensive support resources, including video tutorials, quick start guides, and user manuals.
Pricing and Accessibility
- Free Access: Neuton TinyML is absolutely free for developers worldwide, with an additional Enterprise plan available for large-scale IoT projects. This plan includes an individual approach and full-cycle end-to-end data science services.
In summary, Neuton TinyML is a powerful, user-friendly platform that democratizes the use of tiny machine learning by enabling anyone to build, deploy, and run highly accurate and compact ML models on tiny devices, all without the need for coding or extensive technical expertise.