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Explores the connection between physical theories and empirical data, contrasting standard quantum mechanics with Newtonian Mechanics' explicit ontology of particles in space.
Delves into the relationship between architecture, landscape, and territory, exploring critical reviews of architectural projects and the concept of ruins.
Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores the complexity of describing document content and the development of new open standards to address this issue, covering challenges in modeling document structure and content.
