Paper: Accelerating scientific discovery with generative knowledge extraction, graph-based representation, and multimodal ...

It emphasizes how different representations—such as predicate calculus, knowledge graphs, embeddings, and tables—support different functionalities—such as inference, probabilistic reasoning, language ...

This course is open to graduate students in cognitive science who are interested in knowledge representation ... This seminar will explore ideas from qualitative reasoning, which provides ...

In an age overwhelmed by data, how do we ensure that AI doesn't just recognize patterns but also understands the deeper relationships that drive those patterns?

knowledge representation and automatic metadata generation/extraction, logic, cognitive modeling and neural networks, image and signal processing, predictive modeling and statistical learning. In ...