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Join us for Ultralytics Live Session 18 with:
- Ultralytics’ Founder & CEO Glenn Jocher
- Machine Learning Engineer Francesco Mattioli
- STMicroelectronics AI Solutions Product Marketing Manager Nicolas Gaude
- Computer Vision MLOps Engineer Mahdi Chtourou
discussing the next evolution of AI-powered vision at the edge!
In this session, we’ll dive into STMicroelectronics’ STM32N6 microcontroller platform and explain how it drives low-power, real-time Vision AI at the edge with Ultralytics YOLO models.
We’ll also explore how Ultralytics YOLO models can run directly on STM32N6 microcontrollers, enabling efficient on-device Vision AI tasks like object detection and pose estimation on compact, low-power systems.
Agenda for the ULS:
Introduction to the STM32N6 microcontroller
How YOLO and the STM32N6 microcontroller make edge AI more efficient
Live demo: Real-time YOLO object detection on STM32 hardware
Use cases across robotics, automation, and smart cities
Live Q&A