ADR Awareness Centre

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 Copyrighted and licensed contents will not be published in the Centre.

Add your resource

100+

Available resource

10

Resource types

Displaying 4 resources

Software resources

CO2A – Contrastive Conditional domain Alignment

A novel unsupervised domain adaptation approach for action recognition from videos, inspired by recent literature on contrastive learning.

Category

Multi-modal interaction, Sensing of motion and mechanical properties

Target audience

ADR Experts and Associations, Researchers and Academic

Software resources

pygrank

pygrank is an open source framework to define, run and evaluate node ranking algorithms.

Category

Multi-modal interaction

Target audience

ADR Experts and Associations, Private Sector, Researchers and Academic

Software resources

InDistill

InDistill enchances the effectiveness of the Knowledge Distillation procedure by leveraging the properties of channel pruning to both reduce the capacity gap between the models and retain the information geometry.

Category

Multi-modal interaction

Target audience

ADR Experts and Associations, Private Sector, Researchers and Academic

Tutorial/How To/Guides

Data.gov.ie developers resources

The Open Data Strategy aims to create an environment where, by opening up Government data, new opportunities for research, innovation, transparency, engagement and greater efficiency are delivered and realised by public bodies, businesses, researc

Category

Data sharing and Data spaces, Data and AI Platforms, Data Marketplaces

Target audience

ADR Experts and Associations

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