Displaying 81 resources
Online Course

Online course on Data Spaces for Mobility

Discover the world of mobility data spaces in this online course tailored for mobility professionals with a solid background in mobility planning, operations, data, and management.

Category
Other
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Article/Books/eBooks

An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering

When deployed, machine-learning (ML) adoption depends on its ability to actually deliver the expected service safely, and to meet user expectations in terms of quality and continuity of service.

Category
Support guidance in the responsible implementation of ADR
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Article/Books/eBooks

Artificial Intelligence Index Report 2023

Welcome to the sixth edition of the AI Index Report!

Category
Technology methodologies and landscape
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Online Course

Statistical Methods for Machine Learning

Syllabus

Category
Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Online Course

Non-Markov Decision Processes and Reinforcement Learning

We present non-Markov decision processes, where rewards and dynamics can depend on the history of events. This is contrast with Markov Decision Processes, where the dependency is limited to the last state and action.

Category
Hybrid Decision Making
Target audience
ADR Experts and Associations, Researchers and Academic
Online Course

AI Science and Engineering and its Impact on the Society

This CVML Web Module focuses on the “Introduction to AI Science and Engineering and its impact on the society and Environment”. It is ideal for personnel upskilling and reskilling on AI. The Module content can be configured on demand.

Category
Technology methodologies and landscape
Target audience
Researchers and Academic