Displaying 101 resources


Fairlearn
Fairlearn is an open-source, community-driven project to help data scientists improve fairness of AI systems.



Webinar: Knowledge-Assisted AI Applications for Real-World Network Infrastructure

Webinar "Industry-driven Use Cases"
AI4REALNET project covers the perspective of AI-based solutions addressing critical systems (electricity, railway, and air traffic control), modelled by networks that can be simulated and traditionally operated by humans and where AI complements and

Webinar "Distributed and Hierarchical Reinforcement Learning"
In this webinar, AI4REALNET project provides an overview of two emerging topics in Reinforcement Learning (RL): Distributed RL and Hierarchical RL.
For both DRL and HRL, a general definition of the paradigm is provided, discussing the learning object


Application of the ALTAI tool to power grids, railway network and air traffic management

Don’t ask if AI is good or fair, ask how it shifts power
Opinion piece by Pratyusha Kalluri in Nature

Uncertainty-Based Learning of a Lightweight Model for Multimodal Emotion Recognition



Towards functional safety management for AI-based critical systems

