Combining tools, SW, and resources into a single environment… Supporting a fast and smooth developer experience
A new starting point for all edge AI projects… Helping realize future smart objects

STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, has announced the launch of the ST Edge AI Suite, a collection of integrated software tools designed to ease the development and deployment of embedded AI applications.

ST announced on the 28th that it is offering the ST Edge AI Suite, which combines tools, software, and expertise to simplify and accelerate the implementation of AI applications.

This comprehensive suite supports optimization and deployment of machine learning algorithms from data collection through final deployment on hardware, simplifying workflows for a wide range of users.

The suite’s tools cover a wide range of ST products, from smart sensors to microcontrollers and microprocessors, including the upcoming STM32N6 neural-network processing microcontroller.

The ST Edge AI Suite can meet the needs of diverse user types, including data scientists, embedded software developers, and hardware system engineers, across multiple hardware platforms.

Desktop tools for data tuning and model optimization on your chosen hardware platform, as well as the ST Edge AI Model Zoo and Developer Cloud.You can also easily access online tools such as r Cloud.

It also includes NanoEdge AI Studio, which automatically generates machine learning libraries; STM32Cube.AI, MEMS Studio, and Stellar Studio to optimize models on STM32 devices, MEMS inertial sensors, and Stellar processors. All of these solutions are available free of charge.

This suite release also introduces the world’s first innovations supporting AI applications in MEMS Studio tools: the ISPU NN Model Optimizer and the MLC Feature and Filter Auto-Selection.

“The ST Edge AI Suite, available on st.com, is a new starting point for embedded AI development,” said Alessandro Cremonesi, Executive Vice President, Chief Innovation Officer, and General Manager, System Research and Applications Group, STMicroelectronics. “It will help today’s imaginative innovators realize tomorrow’s smart things that can sense, reason, and respond to the world intelligently, autonomously, and efficiently.”

“This single, integrated framework environment enables developers to easily select models and data sources, quickly and easily find the right tools to optimize and benchmark, and then automatically generate code and libraries,” he added.