We will demonstrate two live demos that perfectly illustrate the uniqueness of our approach: Keyword Spotting –> 40 Kb in total footprint and Human activities recognition –> 3 Kb in total footprint.
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.
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.
A special 20th-anniversary edition of the Embedded World 2022 took place on June 22-24 in Nuremberg, Germany. The Neuton team was excited to attend the event and meet the global embedded community.
Forrester’s Overview Of 35 AI/ML Platform Providers.
In the recent decade, Machine Learning (ML) has experienced a surge in applications in several branches of applied science, social sciences, business, and economics. ML is complex, and choosing the optimum algorithm takes a great deal of knowledge, energy, and intuition on behalf of the user.