边缘AI软件与工具库

Edge AI tools enable the deployment of AI / ML models directly on STMicroelectronics edge devices, such as microcontrollers (MCUs), Microprocessors (MPU) and MEMS smart sensors. These tools play a crucial role in bringing intelligence to the edge, allowing devices to process data locally without relying on cloud services. Hence improving the energy and cost effectiveness of tinyML edge devices. Edge AI tools can be either local or cloud based and they are essential for creating efficient and optimized models that can run directly at the edge, on edge optimized devices. Whether you’re a product leader, AI practitioner, or embedded engineer, these tools empower you to build intelligent solutions that enhance products and services.