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 Copyrighted and licensed contents will not be published in the Centre.

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Graph Signal Processing

This lecture overviews Graph Signal Processing that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Linear 1D convolution. Cyclic 1D convolution. Graph Basics.

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Recommendations towards policy changes

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AI-OnDemand

Face and Object De-detection

This lecture overviews Face and Object De-detection that has many applications in Human-centered Computing and privacy protection in Social or Broadcasted Media.

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Recommendations towards policy changes

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AI-OnDemand

Information Diffusion

This lecture overviews Information Diffusion that has many applications in Network Theory, Web Science, Political Science, Marketing and Social Media Analytics. It covers the following topics in detail: Basics of Information Diffusion.

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Recommendations towards policy changes

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AI-OnDemand

FIR Filter Design

This lecture overviews FIR Filter Design that has many applications in digital signal processing and deep neural networks.

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Recommendations towards policy changes

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AI-OnDemand

Digital Filter Structures

This lecture overviews Digital Filter Structures that has many applications in digital signal processing.

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Recommendations towards policy changes

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AI-OnDemand

Blockchain Algorithms

This lecture overviews Blockchain technology that has many applications in cryptocurrencies, e-commerce and identity management.

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Recommendations towards policy changes

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AI-OnDemand