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 Copyrighted and licensed contents will not be published in the Centre.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 302 resources

Video Captioning

This lecture overviews Video Captioning that has many applications in video description, search and retrieval. It covers the following topics in detail: Video captioning definitions and datasets.

Category

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

Source

AI-OnDemand

Representation Learning for Natural Language Processing

Provides a comprehensive overview of the representation learning techniques for natural language processing. Presents a systematic and thorough introduction to the theory, algorithms and applications of representation learning. Shares insights into

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Neural SLAM

This lecture overviews Neural SLAM that has many applications in robotic and autonomous vehicle localization and mapping.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Digital Painting Analysis and Conservation

This lecture overviews an important topic of Digital Humanities, namely digital painting analysis that has many applications in painting conservation and in the history of arts.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Image-Based Rendering and View Synthesis

This lecture overviews Image-Based Rendering and View Synthesis that has many applications in computer graphics, data visualization, simulators, Virtual Environments and media production.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Video Streaming

This lecture overviews Video Streaming that has many applications in videoconferencing, social media and TV webcasting.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand