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 Copyrighted and licensed contents will not be published in the Centre.

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Available resource

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Resource types

Displaying 98 resources

Discrete Fourier Transform

This lecture overviews Discrete Fourier Transform that has many applications in digital signal processing and analysis and in power spectrum estimation.

Category

Data for AI, Recommendations towards policy changes

Source

AI-OnDemand

Blockchain Algorithms

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

Category

Recommendations towards policy changes

Source

AI-OnDemand

Machine Listening for Music and Sound Analysis

This lecture is held every winter semester as part of the Audio Signal Processing & Audio Systems Module at TU Ilmenau.

Category

Recommendations towards policy changes

Source

AI-OnDemand

Athlete Motion Analysis

This lecture overviews Athlete Motion Analysis that has many applications in Human-centered Computing, Image and Video Analysis and Sports coaching. It covers the following topics in detail: Motion Caption. Body pose. Rigid object motion.

Category

Recommendations towards policy changes

Source

AI-OnDemand

Gesture Recognition

This lecture overviews Gesture Recognition that has many applications in Human-Machine Interaction (HMI), Human-Robot Interaction (HRI), Sign Language, Navigation or/and the manipulation in VR environment and Distance learning.

Category

Recommendations towards policy changes

Source

AI-OnDemand

Face Recognition

This lecture overviews that has many applications in Human-centered Computing, Image and Video Analysis, Surveillance and Social Media Analytics. It covers the following topics in detail: Face recognition/identification. Face verification.

Category

Recommendations towards policy changes

Source

AI-OnDemand