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STMicro opened access to NanoEdge AI Studio to all STM32 and the others

Date: 11/12/2023
With the AI capable processor cores available now for devices such as microcontrollers and such processor chips used in edge devices, there is a rapid growth of adoption of AI at the device level. The leading microcontroller chip vendor STMicroelectronics is supporting all the available resources to speed up the development at affordable cost. The software plays important role here.

ST Microelectronics announces that the deployment of software libraries built with its flagship design tool, NanoEdge AI Studio, will now become free for unlimited deployment on any STM32 microcontrollers.

NanoEdge AI Studio to cover all Arm Cortex-M based microcontrollers, enabling the development and deployment of efficient machine learning libraries, including on-device learningon other Arm Cortex-M microcontrollers under special license agreement.
“Our goal is to ensure that accurate, power-efficient AI algorithms can be built to run on resource-constrained edge computing devices as easily, quickly, and cost-effectively as possible,” said Remi El Ouazzane, President Microcontrollers and Digital ICs Group, STMicroelectronics. “Today, we are taking another big step by allowing developers working in any Arm Cortex-M ecosystem to build and deploy their libraries on as many devices as they need, free of cost, to both them and their users, which we believe will spark innovation further.”

NanoEdge AI Studio streamlines machine learning algorithm creation for tasks like anomaly detection, classification, and prediction. It has gained recognition for its capacity to generate small-footprint ML libraries that can learn directly on the device enabling predictive maintenance in comlex systems .

The updated NanoEdg AI Studio now supports a broad range of Arm Cortex-M-based MCUs beyond STM32, extending accessibility to the wider embedded systems community. Users can access over 140 STM32 development boards and choose from 1,000+ Cortex-M MCUs during project creation.

ST has enhanced the Studio with a user-friendly interface, introducing a step-by-step guide for project creation and an advanced validation tool to ensure production-quality algorithm generation in the latest version, V4.3.

NanoEdge AI Studio can now estimate ML model execution time with a 98% precision score for pre-selected targets to enrich the model report and help users make an informed choice for model selection.
This updated version, Edge AI Studio V4.3, incorporating NanoEdge AI Studio, is now available for free download.

For more information, visit https://stm32ai.st.com/.

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Source: st.com