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 Copyrighted and licensed contents will not be published in the Centre.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 205 resources

Digital Image Formation

This lecture overviews Image Formation, which is of primary importance in ensuring image quality and enabling image processing. It covers the following topics in detail: Light reflection models. Camera structure and models, e.g., Pinhole Camera.

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

Digital Image Filtering

This lecture overviews Image Filtering, which is very important to ensure high image quality and image denoising. It covers the following topics in detail: Image noise. 2D FIR filters, including Moving average filters.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Human Visual System

This lecture overviews the Human Visual System that has many applications in understanding image perception and image quality issues. It covers the following topics in detail: Human Visual System (eyes and visual pathway, stereo vision).

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

e-Symposium 2023: Political barometer: public opinion mining using tweets

Since the formulation of states, political authorities and political parties have sought to gauge public opinion. In recent years, opinion polls have been able to gratify this need rather efficiently.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

e-Symposium 2023: Crowding Out the Truth? A Simple Model of Misinformation, Polarization, and Meaningful Social Interactions

This paper delves into the critical role of social media in debates surrounding polarization, misinformation, and the state of democracy worldwide.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand