
Human-computer intra-action: a relational approach to digital media and technologies
The growing pervasiveness of digital technologies has exposed the entanglements of Human-Computer Interaction (HCI) with its surrounding context, from the immediate vicinity of interfaces to global issues.

Preparing action interaction data for training
If you use the Next-Best-Action custom recipe, Amazon Personalize uses action interactions data to identify user interest and predict the actions they will most likely take.

STRATEGIC RESEARCH & INNOVATION ROADMAP OF TRUSTWORTHY AI
This document is the first version of the Strategic Research and Innovation Roadmap of the TAILOR project, focussed on Trustworthy Artificial Intelligence through Learning, Optimization and Reasoning.

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

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.

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