Accelerating AI-Enabled Product Development with ST Edge AI Suite: A Game-Changer for Edge-AI Projects
The ST Edge AI Suite is now available, speeding up the development of AI-enabled products using STMicroelectronics' technologies. This new platform combines tools, software, and resources in one location to enhance the developer experience and make project development quicker and more efficient.
STMicroelectronics, a prominent semiconductor company that caters to customers in various electronics fields around the world, has introduced the ST Edge AI Suite. This suite includes tools, software, and expertise to make the process of creating edge-AI applications easier and faster.
The ST Edge AI Suite is a set of software tools that are combined together to help in creating and using AI applications on embedded devices. This suite assists in optimizing and deploying machine-learning algorithms from gathering data to running them on hardware, making the process easier for various users.
The tools available in this suite encompass a wide variety of ST products, such as smart sensors, microcontrollers, and microprocessors, including the new STM32N6 neural-processing microcontrollers.
According to Alessandro Cremonesi, the Executive Vice President, Chief Innovation Officer, and General Manager of STMicroelectronics’ System Research and Applications Group, the ST Edge AI Suite on st.com is a new platform for embedded AI development. It provides support for innovators looking to create intelligent devices that can sense, infer, and respond efficiently to their surroundings. The platform offers developers a simple and streamlined process for selecting models and data sources, finding the necessary tools, optimizing and benchmarking their work, and automatically generating code and libraries all within a single framework.
ST Edge AI Suite is designed to cater to the needs of a variety of users, including data scientists, embedded software developers, and hardware system engineers, who work across different hardware platforms.
Users have easy access to online tools like the ST Edge AI Model Zoo and Developer Cloud, as well as desktop tools for adjusting data and optimizing models on their preferred hardware platform. These tools include NanoEdge AI Studio for creating machine learning libraries automatically, and STM32Cube.AI, MEMS Studio, and Stellar Studio for optimizing models on STM32 devices, MEMS inertial sensors, and Stellar processors. All of these tools are available for free.
This suite's launch includes groundbreaking advancements for AI applications in the MEMS Studio tool, such as the "ISPU NN model optimizer" and the automatic selection of MLC features and filters, which are world-first innovations.
Guide the way customers interact with your business.
Honeywell, Soxai, and HPE Group discuss how tools like MEMS Studio and Stellar Studio within the ST Edge AI Suite make it easier and faster to develop edge-AI applications.
Israel Herrera, a professional in firmware architecture and embedded systems engineering at Honeywell Fire, praised ST for their advancements in edge computing using sensors. He specifically highlighted the effectiveness of MEMS Studio, a software tool within the ST Edge AI Suite, in facilitating quick testing with various MEMS sensor modules. This tool simplifies the process of creating proof of concepts through its code generation capability and is instrumental in testing different Machine Learning and Data Analysis algorithms separately.
Tatsuhiko Watanabe, the CEO and Founder of SOXAI, discussed how they utilized ST's edge-AI sensors to enhance their product, SOXAI RING 1. ST introduced a groundbreaking sensor with edge AI technology, which they incorporated into their product to improve its performance. By utilizing the machine-learning core software tool from the ST Edge AI Suite, they were able to easily integrate this new technology and maximize the sensor's capabilities with minimal effort. As a result, the new SOXAI RING 1 now has a significantly longer battery life of at least 10 hours, which is a significant advancement in the wearable technology industry.
Andrea Bozzoli, the CEO of HPE Group, stated that HPE is leading the way in revolutionizing the automotive industry through their partnership with STMicroelectronics and their Stellar MCU and Stellar Studio software in the ST Edge AI Suite. The Prometeo Joint Innovation Lab is working on creating a proof-of-concept for advanced vehicle powertrains that use AI to improve predictive maintenance and control systems. This collaboration aims to enhance electric vehicle performance and improve the digital cockpit experience, establishing a new benchmark for intelligent, environmentally-friendly mobility.
The ST Edge AI Suite is currently available for use at the following website: https://www.st.com/content/st_com/en/st-edge-ai-suite.html
Two industry leaders, Milestone Systems and Arcules, have partnered up to collaborate on new projects. Researchers have made significant discoveries in the development of energy harvesting and power generation materials. Model N has introduced innovative data solutions, including Syndicated Customer Master and Formulary Compliance. IObit Uninstaller PRO is a software program designed for uninstalling applications. Improving test and fault coverage can be achieved through interactive testing methods. Amkor has set science-based net-zero targets that have been approved by SBTi. STMicroelectronics is leading the way in microcontroller innovations and ultra-low power MCUs. The company is dedicated to fostering innovation and empowering edge AI innovation. STMicroelectronics is also advancing power electronics for aircraft electrification and supporting wireless connectivity with its STM32 MCUs.