ADR Awareness Centre

Learning agents are a shining example of scientific advancement in the field of artificial intelligence.

Artificial Intelligence (AI) systems are designed to mimic human intelligence and decision-making processes, and reasoning is a critical component of these capabilities.

In today's tech-driven world, machines are being designed to mimic human intelligence and actions.

This paper outlines the initial FPGA-centric endeavors within the EdgeAI project, targeting scenarios where extremely constrained power-energy parameters intersect with the demand for high performance and accuracy in executing Artificial Intellige

Presentation detailing our benchmarking of several low cost boards for AI inference on the Edge.
The NN is a small NN that performs 1 channel images classification over 58 categories targeting an industrial application.

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

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

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 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.

The webinar covers the challenges, advantages, and limitations of edge AI technology, using various examples to illustrate its applications.