Displaying 92 resources
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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

Human activity recognition in time series in PIR sensor networks with reinforcement learning

Recognizing human activity from IoT events is essential for automatic light scene setting. A challenge with IoT systems is the diversity among customers.

Category
Edge-based AI, Architecture of sensing and perception systems
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

EdgeAI: Leveraging SNNs, Transformers, and Autoencoders for Near-Sensors Intelligence

This talk will explore the cutting-edge advancements in EdgeAI for biosignal analysis, focusing on innovative algorithms such as Spiking Neural Networks (SNNs), Transformers, and Autoencoders.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Functional and Non-Functional Requirements in Edge Ai Systems

This presentation highlights the critical elements defining edge AI solutions’ performance and effectiveness.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e
Article/Books/eBooks Article/Books/eBooks

Pioneering the Future of Edge AI

In today’s fast-evolving technological landscape, edge AI stands at the forefront of innovation, enabling data processing at the edge, closer to the source of information.

Category
Edge-based AI
Target audience
Researchers and Academic
Source
Adra-e