Displaying 35 resources
Article/Books/eBooks Article/Books/eBooks

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.

Category
Cooperation with partners, Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Legal framework and regulation, Recommendations towards policy changes, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks
Professional development resources for teachers/educators Professional development resources for teachers/educators

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.

Category
Multistakeholder dialogue, Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Legal framework and regulation, Trustworthiness
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

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.

Category
Edge-based AI
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

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

Category
Edge-based AI
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

EdgeAI

Develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing.
Category
Edge-based AI
Target audience
Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Seminar Seminar

Automotive Intelligence - Edge AI, Hardware and Software Integration

The automotive industry faces
unprecedented challenges, such as
climate change, reducing emissions,
global competition, and rapidly evolving
technologies such as digitalisation

Category
Edge-based AI
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Online Course Online Course
Video/Webinars Video/Webinars

AI for Education

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

Category
Multi-modal interaction, AI platform for deployment, Trustworthiness, Technology methodologies and landscape
Target audience
Individual Citizens/Members of the Society, Policy Makers
Source
Adra-e
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Webinar "Distributed and Hierarchical Reinforcement Learning"

Category
Action and Interaction Technologies, Data for AI, Systems, methodologies, hardware, and tools, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Certification Certification
Online Course Online Course
Video/Webinars Video/Webinars

Webinar "Industry-driven Use Cases"

Category
Action and Interaction Technologies, Data for AI, Systems, methodologies, hardware, and tools, Reasoning and decision-making Technologies
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e

Structured Power Grid Simulation Dataset for Machine Learning: Failure and Survival Events in Grid2Op's L2RPN WCCI 2022 Environment

Category
Action and Interaction Technologies, Data for AI, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

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.
Category
Action and Interaction Technologies, Data for AI, Reasoning and decision-making Technologies, Sensing and perception technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e
Video/Webinars Video/Webinars

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.

Category
Action and Interaction Technologies, Data for AI, Reasoning and decision-making Technologies, Sensing and perception technologies, Systems, methodologies, hardware, and tools
Target audience
ADR Experts and Associations, Policy Makers, Private Sector, Public Sector, Researchers and Academic
Source
Adra-e