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 Copyrighted and licensed contents will not be published in the Centre.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 273 resources

Music Genre Recognition

This lecture overviews Music Genre Recognition that has many applications in the music industry and in the social/broadcasted media. It covers the following topics in detail: Audio Feature Extraction.

Category

Systems, methodologies, hardware, and tools, Recommendations towards policy changes

Source

AI-OnDemand

3D Image Processing

This lecture overviews 3D Image Processing, 3D volume filtering, (e.g., 3D moving average filter, 3D median filters), 3D mathematical morphology operators, anisotropic diffusion, 3D volume interpolation and 3D histogram equalization, 3D volume

Category

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

Source

AI-OnDemand

MultiDrone Datasets

This lecture overviews MultiDrone Datasets that has many applications in autonomous drone research and development.

Category

Data for AI, 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

Drone Cinematography

This lecture overviews issues related to drone cinematography for TV, cinema and media production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Hybrid AI for knowledge representation and model-based medical image understanding

Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their relationships.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Terse notes on Riemannian geometry

The technical report gives a compact introduction into the basic definitions and theorems of Riemannian geometry, Lie groups & Lie algebras and symmetric spaces.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

3D Surface and Volume Rendering

This lecture overviews 3D Surface and Volume Rendering hat has many applications in 3D computer graphics, games, data visualization, simulators, Virtual Environments and media production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image Typology

This lecture overviews various digital image types: 2D images, 3D images (videos, medical volumes, hyperspectral images). Multichannel images, e.g., colour and multispectral images come next. RGBD images and graphics texture images.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

3D Animation

This lecture overviews 3D Animation that has many applications in 3D computer graphics, games, data visualization, simulators, Virtual Environments and media production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image Sampling

This lecture overviews spatial image frequency content and image sampling. Rectangular and hexagonal sampling grids are presented. Sampled image frequency content is analyzed and a 2D version of Shannon theorem is presented.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Summarization

This lecture overviews Video Summarization that has many applications in video description, search, retrieval and browsing.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand