Displaying 81 resources
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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
Case studies Case studies
Professional development resources for teachers/educators Professional development resources for teachers/educators

IMPACT STORIES - from the TAILOR Network of Excellence Centres in AI

The TAILOR Impact Stories is a powerful demonstration of the collective achievements and spirit of the TAILOR network.

Category
Best practices in deployment
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

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