Article/Books/eBooks
At-the-edge AI acceleration on FPGAs, from CNNs to SNNs
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
Article/Books/eBooks
Comparing implementations of a Small CNN on Commodity Hardware
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.
Article/Books/eBooks
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.
Seminar
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