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 Copyrighted and licensed contents will not be published in the Centre.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 212 resources

Exploring AI Technologies from Ethics to Trust (ENFIELD educational material)

The 2024 ENFIELD webinar was organized in the framework of the Horizon Project ENFIELD, having taken place online on November 15, 2024. The objective of the webinar was to discuss the critical landscape of AI ethics and trust. During the webinar, 8 p

Category

Reasoning and decision-making Technologies, ai core modules

Source

AI-OnDemand

Stereotypes in Language & Computational Language Models

Combined knowledge from linguistics, psychology, and natural language processing.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Few Shot Object Recognition

This lecture overviews Few Shot Object Recognition that has many applications in image classification, when few training data are available. It covers the following topics in detail: Few-shot Image Learning definitions and methods.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Moving Image Perception

This lecture overviews Moving Image Perception that has many applications in video acquisition, processing and coding. It covers the following topics in detail: Human Vision Modeling.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Continual Learning

This lecture overviews Continual Learning that has many applications in DNN training and adaptation.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand

Transfer Learning

This lecture overviews Transfer Learning (TL) that has many applications in DNN training and adaptation, Image Understanding, Text Mining, Activity Recognition, Bioinformatics, Transportation.

Category

Systems, methodologies, hardware, and tools

Source

AI-OnDemand