
Edge AI trends and engineering principles applied to micro, meta, and end-to-end AI system verification, validation, and testing
Edge AI, which refers to the deployment of edge computing and artificial intelligence (AI) models and algorithms on edge devices like IoT devices and embedded systems, is rapidly evolving with several emerging trends and engineering principles app
EdgeAI
Develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing.

Automotive Intelligence - Edge AI, Hardware and Software Integration
The automotive industry faces
unprecedented challenges, such as
climate change, reducing emissions,
global competition, and rapidly evolving
technologies such as digitalisation

NXP AIML Edge Platforms Webinar
This webinar is organised by the Chips JU “Edge AI Technologies for Optimized
Performance Embedded Processing” EdgeAI project, aiming at delivering an in-depth

NXP AIML Edge Platforms Webinar
The webinar introduces NXP Semiconductors’ edge AI platforms, software environment for application development, and model-zoo, offering validated starting points for edge AI projects.

Shaping the Future by Advancing Open-Source AI
The webinar brings together European and international open-source experts to share best practices, explore key trends, challenges, and benefits, and discuss collaboration on AI within the Open Source Initiative and the Eclipse Foundation.