STMicroelectronics (ST), a global semiconductor company, is accelerating the commercialization of physical AI.

ST announced on the 26th that it has released STM32 AI Model Zoo 4.0, the industry's largest AI model library for microcontrollers.

This expansion provides over 140 vision, audio, and sensing-based models and is expected to significantly accelerate the prototyping and development of embedded AI applications.

The STM32 AI Model Zoo contains models applicable to a wide range of devices, including wearables, smart cameras, sensors, security and safety devices, and robotics.

With this update, ST enables developers to implement optimized AI models even in small microcontroller environments with limited processing power and memory.

This enables highly efficient AI operation with minimal power consumption, and embedding AI in everyday electronic devices and home appliances simultaneously realizes energy savings and improved performance.

“The process of implementing data science into real-world applications optimized for embedded platforms is extremely complex,” said Stephane Henry, Vice President of ST’s Edge AI Solutions Group. “The STM32 AI Model Zoo 4.0 provides developers with a simple and easy-to-use platform for data science and AI development.”“This supports rapid project launch and smooth progress through to deployment, demonstrating ST’s commitment to realizing physical AI,” he said.

The new Model Zoo, included in the ST Edge AI Suite, provides tools, libraries, and utilities that simplify the development and deployment of AI algorithms.

This ensures seamless integration from prototyping to production, enabling developers to solve complex edge AI implementation challenges more efficiently.

Currently, ST's AI tools are used in more than 160,000 projects annually, earning high trust from the global developer community.

ST's STM32 family is the world's most widely adopted microcontroller, used in a wide range of applications including consumer electronics, wearables, communications infrastructure, smart grids, smart cities, industrial automation, and low-Earth orbit (LEO) satellites.

By deploying AI across these broad applications, ST is bringing cutting-edge technologies to end users quickly and cost-effectively, while enhancing sustainability.

ST has added AI-accelerated MCUs, such as the STM32N6 series, to its portfolio to strengthen its leadership in embedded AI.

Through this, we are leading the rapidly growing edge AI market and expanding strategic support to enable developers to implement next-generation AI applications.