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 Copyrighted and licensed contents will not be published in the Centre.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 278 resources

Introduction to Statistics

This lecture provides an Introduction to Statistics that has many applications in Data Analytics, Machine Learning and Signal Analysis. It covers the following topics in detail: Random Variables. Data Types. Data Sampling.

Category

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

Source

AI-OnDemand

Set Theory

This lecture overviews Set Theory that has many applications in Probability/Statistics, Machine Learning and Computer Vision.

Category

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

Source

AI-OnDemand

Mathematical Analysis

This lecture overviews Mathematical Analysis that has many applications in Computer Vision, Machine Learning and Autonomous Systems.

Category

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

Source

AI-OnDemand

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

Generative Adversarial Networks

This lecture overviews Generative Adversarial Networks that have many applications in Media Production.

Category

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

Source

AI-OnDemand

Multiple Drone Communications

This lecture overviews various concepts related to multiple drone communications: LTE and WiFi communications, LTE communication infrastructure, IP network issues, Security analysis, throughput, latency and quality-of-service issues.

Category

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

Source

AI-OnDemand