Displaying 44 resources
Article/Books/eBooks Article/Books/eBooks

Human-computer intra-action: a relational approach to digital media and technologies

The growing pervasiveness of digital technologies has exposed the entanglements of Human-Computer Interaction (HCI) with its surrounding context, from the immediate vicinity of interfaces to global issues.

Category
Multi-modal interaction, Technology methodologies and landscape
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Tutorial/How To/Guides Tutorial/How To/Guides

Preparing action interaction data for training

If you use the Next-Best-Action custom recipe, Amazon Personalize uses action interactions data to identify user interest and predict the actions they will most likely take.

Category
Multi-modal interaction
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Certification Certification

VCIO based description of systems for AI trustworthiness characterisation

This VDE SPEC provides a way to describe certain socio-technical characteristics of systems and applications that incorporate artificial intelligence techniques and methods.
Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks
Certification Certification
Professional development resources for teachers/educators Professional development resources for teachers/educators

Labelling initiatives, codes of conduct and other self-regulatory mechanisms for artificial intelligence applications

AI has emerged as a critical area of interest to numerous stakeholders across the world.

Category
Support guidance in the responsible implementation of ADR, Understanding of the fundamental rights and values, Policy, Regulation, Certificates, and Standards, Best practices in deployment, Certification and Compliance, Legal framework and regulation, Recommendations towards policy changes, Standards, Trustworthiness
Target audience
ADR Experts and Associations, Private Sector, Researchers and Academic
Source
Adra-e
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

At-the-edge AI acceleration on FPGAs, from CNNs to SNNs

This paper outlines the initial FPGA-centric endeavors within the EdgeAI project, targeting scenarios where extremely constrained power-energy parameters intersect with the demand for high performance and accuracy in executing Artificial Intellige

Category
Edge-based AI
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, 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
Video/Webinars Video/Webinars

Loremipsum

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.
Category
Data and AI Platforms, Reasoning Techniques, Systems, methodologies, hardware, and tools
Target audience
Other, Private Sector, Researchers and Academic
Source
Adra-e