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 Copyrighted and licensed contents will not be published in the Centre.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 204 resources

Mathematical brain modeling

This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).

Category

Data for AI, Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Region Segmentation

This lecture overviews Region Segmentation and Texture Description that have many applications in in image analysis, notably in shape description and object recognition It covers the following topics in detail: Image segmentation by thresholding.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

3D Image and Video Quality

This lecture overviews 3D Image and Video Quality that has many applications in stereoscopic imaging, 3D TV and 3D cinema.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

What is AI?

The stakes of this lecture are as follows: Can an ordinary person having a high school education and genuine interest understand the basic principles of Artificial Intelligence in just an one-hour lecture?

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Processing and Standards Conversion

This lecture Video Processing and Standards Conversion that has many applications in video denoising, video interpolation and de-interlacing. It covers the following topics in detail: Continouous and discrete multidimensional signals.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image Perception

This lecture overviews Image Perception. This is very important to understand image quality issues and develop many appropriate image processing operations.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Multiview Object Detection and Tracking

This lecture overviews Multiview Object Detection and Tracking that has many applications in video analysis and autonomous systems. It covers the following topics in detail: Multiview Human and Object Detection, Multiview Object tracking.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Mathematical Morphology

This lecture overviews Mathematical Morphology that has many applications in digital image processing, analysis and computer vision.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Production

This lecture overviews Video Production that has many applications in movie and TV productions. It covers the following topics in detail: Pre-Production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Special topics in Object Detection

This lecture overviews Special topics in Object Detection that has many applications in embedded computing and drone vision.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

3D Video Coding and Broadcasting

This lecture overviews 3D Video Coding and Broadcasting that has many applications in 3D cinema, 3D TV and 3D video content streaming. It covers the following topics in detail: 3D Video Processing Chain. Video Coding Standards.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Imaging for Drone Safety

This lecture overviews Imaging for Drone Safety that has many applications in autonomous drones.

Category

Data for AI, Systems, methodologies, hardware, and tools, Recommendations towards policy changes

Source

AI-OnDemand