ADR Awareness Centre | Adra Association

The European AI, Data and Robotics stakeholders operate from diverse historic backgrounds. To tap into the potentials of the diverse knowledge and resources generated in the AI, Data, and Robotics ecosystem, an all-inclusive collaboration approach between these stakeholders is necessary to make the ADR resources available and accessible to all.

For this, the ADR Awareness Centre is developed as an open repository of ADR educational resources and materials to enable collaboration and alignment among all projects within the Partnership, relevant external projects, and the public. The Awareness Centre will collect, validate, and publish educational resources and materials related to AI, Data, and Robotics.

- Who is this for? Everyone. Every project and organization in Europe including the general member of the public
- What does this Centre provide? AI, Data, and Robotics educational resources and materials produced in the EU
- When a new resource becomes available? The list of the resources will be updated when a new resource is submitted and validated
- Why should I publish a resource? Firstly, publishing your materials will promote and make them accessible to all. Secondly, it increases the transparency of your work and improves your and your organizations reputation. Last but not the least, your material will help address ADR challenges and contribute to shaping the future of ADR in Europe.
- How can I contribute and publish my resources? The Centre designed a very simple process for you to submit and publish your resources. You only need to submit your resource here and we will review and get it published and publicly accessible to all.
- What kinds of resources can I publish? The Centre only collects and publishes ADR related educational resources that can be publicly available and accessible to all. Copyrighted and licensed contents will not be published in the Centre.

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Displaying 266 resources

2D Systems

This lecture overviews 2D Systems, as they are the primary tools for many image processing and analysis operations. It covers the following topics in detail: Two-Dimensional Discrete LTI Systems. 2D convolutions. 2D correlation.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

High-Dynamic Range Imaging

This lecture overviews High-Dynamic Range Imaging that has many applications in digital photography.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Colour Theory

This lecture overviews Colour Theory that has many applications in digital image/video processing and analysis, multimedia sites and in digital TV.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

2D Digital Filter Design and Implementation

This lecture overviews 2D Digital Filter Design and Implementation that has many applications in digital image filtering, computer vision (template matching) and convolutional neural networks .

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Digital Image Restoration

This lecture overviews Digital Image Restoration that has many applications in scientific/medical imaging and in digital photography.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image Quality

This lecture overviews Image Quality that has many applications in image filtering, processing, transmission, streaming and TV.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand