By navigating our site, you agree to allow us to use cookies, in accordance with our Privacy Policy.

STMicroelectronics Upgrades NanoEdge AI Studio V3

NanoEdge AI Studio simplifies the creation of machine learning, anomaly learning, detection and classification on an STM32 microcontroller.

STMicroelectronics has declared the availability of Version 3 of NanoEdge AI Studio, the first major upgrade of the software tool for machine-learning applications that ST acquired with Cartesiam earlier this year.

STMicroelectronics NanoEdge AI StudioThe new version of NanoEdge AI Studio comes as the shift of AI capabilities from the cloud to the edge offers manufacturers phenomenal potential to fundamentally improve industrial processes, optimize maintenance costs, and deliver innovative functions in equipment that can sense, process data, and act locally to improve latency and information security.

Steve Peguet, Scientific Director, Innovation Department of Alten Group, an international technology consulting and engineering company, said: “We had the opportunity to use NanoEdge AI Studio with one of our major aerospace customers. For machine drilling during the manufacture of expensive parts, where a worn drill-bit or the slightest anomaly can have significant consequences, Alten used NanoEdge AI Studio to integrate Machine-Learning algorithms into the drilling equipment. The solution tested on a production line was so effective that Alten has launched a practice around this technology to support its customers and to industrialize these first results to deploy a disruptive solution of drilling tools prescriptive maintenance in their factories.”

David Dorval, CEO and founder of Stimio, a company specialized in the development of industrial IoT solutions for the railway and other industries (IIoT), said: “Our major railway customers are asking us to provide them with autonomous low-power wireless-based predictive maintenance solutions to increase uptime, optimize costs and avoid costly downtime. The contribution of edge low-power AI is at the heart of our strategy and after benchmarking several Edge AI software solutions, we chose NanoEdge AI Studio from STMicroelectronics to enrich our Oxygen Edge offering with powerful low-power AI algorithms.”

Deepak Arora, President & CEO of Wearable Technologies Inc, said, “To protect our loved ones so that they can have a healthy and fulfilling life, NanoEdge AI is empowering us to reduce the Machine-Learning development time for our next-generation personal-safety devices. AI running at the edge on our devices will allow us to make informed decisions promptly with higher accuracy and reduced false positives.”

NanoEdge AI Studio simplifies the creation of machine learning, anomaly learning, detection and classification on an STM32 microcontroller. This new release also includes prediction capabilities such as regression and outliers libraries.

The tool makes it easier for users to integrate such cutting-edge machine-learning capabilities quickly, easily, and cost-effectively into their equipment. No data-science expertise is needed.


Aishwarya Saxena

A book geek, with creative mind, an electronics degree, and zealous for writing.Creativity is the one thing in her opinion which drove her to enter into editing field. Allured towards south Indian cuisine and culture, love to discover new cultures and their customs. Relishes in discovering new music genres.

Related Articles

Upcoming Events