Explores non conceptual knowledge systems through image translation, video synthesis, self-supervised learning challenges, and universal representations.
Explores the challenges and methodologies of integrating audiovisual sources in historical research, emphasizing the importance of contextualization and innovative research tools.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
