

ISO/IEC 42005:2025 - AI system impact assessment
What is ISO/IEC 42005?

Information technology — Artificial intelligence — Artificial intelligence concepts and terminology
This document establishes terminology for AI and describes concepts in the field of AI.
This document can be used in the development of other standards and in support of communications among diverse, interested parties or stakeholders.

AI Standards & Assurance Roadmap
This AI Standards & Assurance Roadmap is a collaborative effort based on input from many stakeholders and experts from across the Irish AI community, including: Irish academia; multinational corporations and largescale information technology i

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


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


Types of Reasoning in Artificial Intelligence
In today's tech-driven world, machines are being designed to mimic human intelligence and actions.



IMPACT STORIES - from the TAILOR Network of Excellence Centres in AI
The TAILOR Impact Stories is a powerful demonstration of the collective achievements and spirit of the TAILOR network.

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.


Handbook of Trustworthy AI
The main goal of the Handbook of Trustworthy AI (HTAI) is to provide to non-experts, researchers and students, an overview of the problem related to the developing of ethical and trustworthy AI systems.

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.

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