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Interoperability with JSON-LD and NGSI-LD via Orion Context Broker
The short course aims to provide the foundation for understanding NGSI-LD Context Broker(s). The course will begin with a brief introduction to JSON-LD (JSON Linked Data) since it is the data format used by NGSI-LD.



MultiDrone Datasets
This lecture overviews MultiDrone Datasets that has many applications in autonomous drone research and development.



Graph Convolutional Networks
This lecture overviews Graph Convolutional Networks (GCN) that have many applications in Deep Learning, Signal and Video Analysis, Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Graph Convolutions.



Convolutional Neural Networks Lecture
Convolutional Neural Networks form the backbone of current AI revolution and are used in a multitude of classification and regression problems. This lecture overviews the transition from multilayer perceptrons to deep architectures.



Multilayer perceptron. Backpropagation
This lecture covers the basic concepts and architectures of Multi-Layer Perceptron (MLP), Activation functions, and Universal Approximation Theorem.



Attention and Transformers Networks
In this lecture, the limitations of Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs) in effectively processing sequences are emphasized.