ST Edge AI Suite Released, Accelerating Development of AI-Enabled Products Leveraging STMicroelectronics Technology
A new starting point for all your edge AI projects, bringing together tools, software, and resources in one place for a faster, smoother developer experience.
STMicroelectronics, a global semiconductor leader serving customers across a broad range of electronics applications, announced the availability of the ST Edge AI Suite, which brings together tools, software and knowledge to simplify and accelerate the building of edge AI applications.
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The ST Edge AI Suite is an integrated collection of software tools designed to ease the development and deployment of embedded AI. AI ApplicationsThis comprehensive suite includes: Machine Learning Algorithms that streamline workflows for different types of users, from data collection to its final deployment on hardware.
The suite of tools covers a wide range of ST products, from smart sensors to microcontrollers and microprocessors, including the upcoming STM32N6 neural processing microcontroller.
“The ST Edge AI Suite marks a new starting point for embedded AI development at st.com. Driven by their imagination, today's innovators will find support here to realize the smart things of tomorrow that sense, reason and respond intelligently, autonomously and efficiently to the world around them,” said Alessandro Cremonesi, Executive Vice President, Chief Innovation Officer and General Manager of the Systems Research and Applications Group at STMicroelectronics. “The environment brings simplicity to developers through easy selection of models and data sources, quick and easy finding of the right tools, optimization and benchmarking, and automatic generation of code and libraries – all within one unified framework.”
ST Edge AI Suite works across multiple hardware platforms while meeting the needs of different types of users, including data scientists, embedded software developers and hardware system engineers.
Get seamless access to online tools like the ST Edge AI Model Zoo and Developer Cloud, as well as desktop tools for data tuning and model optimization on your hardware platform of choice, including NanoEdge AI Studio for automatically generating machine learning libraries, STM32Cube.AI, MEMS Studio and Stellar Studio for optimizing models on STM32 devices, MEMS inertial sensors and Stellar processors, all for free.
The release of this suite also marks the introduction of world-first innovations for AI applications in the MEMS Studio tool: the “ISPU NN Model Optimizer” and “Automatic Selection of MLC Features and Filters”.
Lead customer experience:
Honeywell, Soxai and HPE Group will explain how tools such as MEMS Studio and Stellar Studio in the ST Edge AI Suite help simplify and accelerate edge AI development.
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Israel Herrera, firmware architect and embedded systems engineer at Honeywell Fire, commented: “We recognize that ST has made innovative advances in the field of edge computing with their sensors. MEMS Studio included in the ST Edge AI Suite has proven to be an excellent software development tool that helps us quickly perform tests with multiple MEMS sensor modules from ST. The code generation feature allows us to easily create proofs of concept. MEMS Studio is also very useful for testing various independent machine learning and data analytics algorithms.”
Tatsuhiko Watanabe, CEO and founder of SOXAI, which uses ST's edge AI sensor, said: “During the development of SOXAI RING 1, ST introduced the world's first sensor with edge AI, and we quickly adopted it to improve our product's performance. Thanks to the machine learning core software tools included in the ST Edge AI Suite, we were able to quickly integrate this new technology, allowing developers to maximize the sensor's potential with minimal effort. Compared to the first generation, the new SOXAI RING 1's battery life has been extended to more than 10 hours, revolutionizing the world of wearable technology.”
Andrea Bozzoli, CEO of HPE Group, added: “HPE is at the forefront of the transformation in the automotive sector through our collaboration with STMicroelectronics and its Stellar MCUs and Stellar Studio software, part of the ST Edge AI Suite. Our Prometeo Joint Innovation Lab efforts aim to leverage AI to enhance predictive maintenance and control systems, and deliver proofs of concept for next-generation vehicle powertrains. This synergy will not only improve the performance of electric vehicles, but also enhance the digital cockpit experience, setting new standards for smart and sustainable mobility.”
STM32 is a registered and/or unregistered trademark of STMicroelectronics International NV or its affiliates in the EU and elsewhere. In particular, STM32 is registered with the U.S. Patent and Trademark Office.
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