Knowledge representation and reasoning form the intellectual backbone of artificial intelligence, facilitating the structured encoding of information and enabling systems to infer, learn and decide in ...

Knowledge representation and query answering constitute foundational elements in modern computational science, facilitating the transformation of raw data into structured, machine-interpretable ...

Reasoning about composite processes in many industrial applications requires use of a graphical formalism such as Petri nets and Activity Diagrams of UML, for representing and modeling complicated ...

The Indian Institute of Technology Madras (IIT Madras) is set to launch a free course on AI titled “Artificial Intelligence: Knowledge Representation andReasoning”. The course is designed to equip ...

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 ...

Permission of instructor. This course is open to graduate students in cognitive science who are interested in knowledge representation. No programming will be required. How people reason and learn ...

In the realm of Artificial Intelligence (AI), knowledge graphs stand as a crucial innovation, particularly influential in areas like machine learning and natural language processing (NLP). These ...

To reason about the world, we need to be able to represent our knowledge of it. This class explores the different ways in which we can represent information, the functionality that each approach ...

Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of ...

The IAEA is calling on interested partners to join a new coordinated research project (CRP) on accelerating fusion research and development (R&D) with artificial intelligence (AI), through the ...