Displaying 12 resources
Tutorial/How To/Guides Tutorial/How To/Guides

Learning Agents in AI

Learning agents are a shining example of scientific advancement in the field of artificial intelligence.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Professional development resources for teachers/educators Professional development resources for teachers/educators
Tutorial/How To/Guides Tutorial/How To/Guides

Reasoning Mechanisms in AI

Artificial Intelligence (AI) systems are designed to mimic human intelligence and decision-making processes, and reasoning is a critical component of these capabilities.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e
Professional development resources for teachers/educators Professional development resources for teachers/educators
Tutorial/How To/Guides Tutorial/How To/Guides

Types of Reasoning in Artificial Intelligence

In today's tech-driven world, machines are being designed to mimic human intelligence and actions.

Category
Reasoning Techniques
Target audience
Individual Citizens/Members of the Society, 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
Video/Webinars Video/Webinars

Why we don't have robot butlers yet

TedX talk by Ken Goldberg exploring the challenges of robot development.
Category
Experiment and Deployment, Sensing and perception technologies, Architecture of sensing and perception systems, Sensing and processing methods, Other
Target audience
ADR Experts and Associations, Individual Citizens/Members of the Society, Researchers and Academic
Source
Adra-e