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 Copyrighted and licensed contents will not be published in the Centre.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

Learning on manifolds

The conference paper provides a brief introduction into manifolds from a computer vision perspective. Important manifolds for this research field, like symmetric positive definite matrices and affine transformation matrices, are presented.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Sonar Imaging

This lecture overviews Sonar Imaging that has many applications in autonomous marine vessels. It covers the following topics in detail: Hydro Acoustics, Sonar Hardware, Calibration, Noise reduction, Echograms, Post Processing.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Real-World Data Science Projects Management

Real-World Data Science Projects involve the practical application of data science methodologies to solve real-world problems.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

AI Studies Survey

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Robot Learning

The talk discusses the long-standing vision of creating autonomous robots capable of assisting humans in daily life. A crucial step toward this goal is enabling robots to learn tasks based on environmental cues or higher-level instructions.

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