
A Deep Dive into the Artificial Intelligence Act.
February 13 / 2026
Join us for an engaging series of webinars focused on Edge AI-based Devices, Electronic Circuits, and Tools. Each session explores cutting-edge technologies and practical applications, providing insights into how edge AI is transforming various industries.
The webinars cover designing efficient electronic circuits, integrating AI algorithms into devices, and leveraging tools for rapid prototyping and testing.
Whether a beginner or an experienced professional, these webinars will enhance your understanding of the intersection between AI and electronics and empower you to innovate in the fast-evolving tech landscape.
Take advantage of this opportunity to gain experience from industry experts and enhance your skill set.


The AI Advantage: How AI is Transforming Decarbonization, Digitalization, and the Organizations.
October 15 / 2025
The webinar introduces Infineon’s approach to decarbonization, highlighting digitalization through sensors and microcontrollers, and showcases Infineon’s expertise in leveraging AI to drive digital transformation and sustainability. This emphasizes the company’s commitment to delivering innovative AI solutions. The application of AI in real-world scenarios will be discussed, including the integration of edge AI into products such as sensors and microcontrollers, showcasing Infineon’s expertise in leveraging AI to drive digital transformation and sustainability. A further focus is on building up the organization to prepare it for the challenges and opportunities of AI. By combining these topics, the webinar aims to provide a comprehensive overview of the possibilities and challenges of AI application in practice.


Edge AI and Sensor Fusion into Smart Connected Lighting Systems
October 2 / 2025
This webinar is organised by the Chips JU “Edge AI Technologies for Optimized Performance Embedded Processing” EdgeAI project, aiming at delivering an in-depth overview of edge AI platforms, tools, applications, and industrial research and development targeted towards mass-market democratisation of AI, machine, and deep learning at the edge.
The webinar will introduce ams OSRAM´s ambient light sensor (TCS3530) technology and its applications. The focus is on sensor fusion and integration into smart connected lighting systems via the use of different intelligence concepts for computational edge intelligence and mesh techniques. Several IoT applications (such as human-centric lighting) will be highlighted that can monitor and control indoor and outdoor spaces.


Edge AI – Challenges and perspectives illustrated by application cases. Live NanoEdge AI Studio tutorial to carry out your first project.
June 03 / 2025
This webinar is organised by the Chips JU “Edge AI Technologies for Optimized Performance Embedded Processing” EdgeAI project, aiming at delivering an in-depth overview of edge AI platforms, tools, applications and industrial research and development targeted towards mass-market democratisation of AIML at the edge.
What is edge AI? This webinar will discuss the technology’s challenges, advantages, and limitations, using different examples to illustrate the application. It will also present state-of-the-art tools to start a project easily and a live demonstration using NanoEdge AI Studio to discover what can be done without previous experience in an AI project.


Shaping the Future by Advancing Open-Source AI Webinar
February 20 / 2025
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.


NXP AIML Edge Platforms Webinar
November 14 / 2024
The webinar introduces NXP Semiconductors’ edge AI platforms, software environment for application development, and model-zoo, offering validated starting points for edge AI projects. The event includes practical application examples and concludes with a look at industrial research efforts towards optimisation at the edge.