Addresses the challenges and opportunities in engineering education at EPFL and ETH Zurich, focusing on student growth and the need for effective communication.
Explores neuro-symbolic representations for understanding commonsense knowledge and reasoning, emphasizing the challenges and limitations of deep learning in natural language processing.
Outlines the Master in Computational Science and Engineering program at EPFL, detailing its structure, projects, and career opportunities for graduates.
Covers fibrant objects, lift of horns, and the adjunction between quasi-categories and Kan complexes, as well as the generalization of categories and Kan complexes.
Addresses the challenges and strategies for engineering education in Switzerland, focusing on quality, student needs, and the evolving demands of the labor market.
