STMicro presents Edge AI - Edge AI refers to the technology that runs AI algorithms and models directly on devices such as microcontrollers, microprocessors, and sensors embedded in industrial and automotive applications. Deploying AI at the edge enables real-time data processing directly at the source of data collection, offering faster response times, enhanced data security, and greater bandwidth efficiency. The ST Edge AI Suite is a set of tools for integrating AI features in embedded systems. It supports STM32 microcontrollers and microprocessors, Stellar automotive microcontrollers, and MEMS smart sensors, and includes resources for data handling and AI model optimization and deployment. Users will also find educational insights and real-world case studies to simplify their design journey. The ST Edge AI Suite facilitates the deployment of AI models by allowing users to easily find the right tool for their project: • Data logging: capturing the sensor data necessary for AI model training. • Auto ML: automatically generating optimized machine learning algorithms. • Model optimization: optimizing AI models and generating associated code for target devices. • Validation and testing: ensuring model performance meets deployment criteria. • Online benchmarking: testing model performance on ST hardware using the cloud. Embedded developers can also benefit from: • The model zoo: simplifying the deployment of AI models on supported devices. • Documentation for more guidance through the deployment process.
SpeakerCredentials
Product Marketing Engineer, AI Solutions, AME Region, STMicroelectronics

