
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.

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.

Adaptable robots, ethics, and trust: a qualitative and philosophical exploration of the individual experience of trustworthy AI


AI for Education
Offers a comprehensive library of free resources to help integrate Generative AI into educational settings.



Webinar "Distributed and Hierarchical Reinforcement Learning"



Oratione
Quae cum dixisset, finem ille. Quamquam non negatis nos intellegere quid sit voluptas, sed quid ille dicat. Progredientibus autem aetatibus sensim tardeve potius quasi nosmet ipsos cognoscimus. Gloriosa ostentatio in constituendo summo bono.

Webinar Towards Transparent, Safe and Trustworthy AI for critical infrastructures
This webinar focuses on the development of safe, explainable, and algorithmically transparent methods as part of the AI4REALNET project.
