Displaying 271 resources
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Report on meta-analysis on externalities of acceptability and trustworthiness of ADR

This Adra-e deliverable presents an analysis of the externalities surrounding acceptability and trustworthiness in ADR-supported innovative technologies.

Category
Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Trustworthiness
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks 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
Source
Adra-e
Online Course Online Course

Statistical Methods for Machine Learning

Syllabus

Category
Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

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
Systems, methodologies, hardware, and tools
Source
AI-OnDemand
Certification Certification
Online Course Online Course
Tutorial/How To/Guides Tutorial/How To/Guides

AI Studies

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

Category
Systems, methodologies, hardware, and tools, Recommendations towards policy changes
Source
AI-OnDemand
Article/Books/eBooks Article/Books/eBooks

An Open Dataset of Synthetic Speech

This paper introduces a multilingual, multispeaker dataset composed of synthetic and natural speech, designed to foster research and benchmarking in synthetic speech detection.

Category
Semantic knowledge, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Researchers and Academic
Source
Adra-e