This course is available on the MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in Operations Research & Analytics, MSc in Quantitative Methods for Risk Management ...

The concept of knowledge graphs arose from scientific advances in a variety of research fields, including the semantic web, databases, natural language processing, and machine learning. According to ...

As a data-driven analysis and decision-making tool, student portraits have gained significant attention in education ...

As previously mentioned, semantic knowledge graphs are a manifestation of AI’ s reasoning capabilities based on taxonomies, rules, and (business) logic. These concepts are foundational to knowledge ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

A super geeky topic, which could have super important repercussions in the real world. That description could very well fit anything from cold fusion to knowledge graphs, so a bit of unpacking is in ...

This annual award acknowledges leaders in AI, natural language processing, machine learning, knowledge graphs, blockchain, and low- and no-code development, industry topics which are shaping the ...

What if you could transform vast amounts of unstructured text into a living, breathing map of knowledge—one that not only organizes information but reveals hidden connections you never knew existed?