Automated Machine Learning for Sensors including Predictive Maintenance, Human Activity Recognition & Smart Home
After analyzing and summarizing the experiences of the world’s scientific communities, we designed a completely different approach to the creation of perceptron neural networks with an optimal architecture that is free from the flaws.
Unlike most NAS methods, based on intelligent enumeration of predetermined neural network structures, we use neuron-by-neuron network structure growth, with the minimum structural unit involved in the optimization process being the neuron’s input. This allows minimization of the “discretization” of the architecture search and creates minimum-size neural networks with no loss of accuracy.
We thereafter created and patented our own highly effective global optimization algorithm, as an efficient solution to the problems of local extremes and plateaus. Using the algorithm for identifying network parameters helps to significantly improve each neuron’s efficiency in the network and to reduce the network’s volume as a result. The patented algorithm has enormous potential for parallelizing (multiple hosts, multiple GPUs) without loss of accuracy, allowing us to solve cross-validation problems while training a neural network within an acceptable time.
We have named the neural network framework “Neuton”. It is based on a process of automatic neuron-by-neuron network growth with overfitting control. This approach allows dynamic growth of the neural network until it achieves its maximum generalization ability. The use of our own global optimization algorithm when learning the parameters of each neuron allows for a significant reduction in the volume of the network, while maintaining its accuracy characteristics.
Please check the ST sensors related to Neuton.AI Automated Machine Learning
Machine Learning Service for Intelligent IMUs
Neuton AI can provide engineering support to help you develop your software around our Neuton platform. Neuton is a no-code Tiny AutoML platform empowered by a patented Neural Network Framework under the hood. Offering a highly automated and transparent pipeline, Neuton does not require a lot of actions from the user's side. It helps to automatically build extremely compact and accurate models without additional compression and natively embed them into 8, 16, and 32-bit MCUs.
