Delves into generative modelling in architecture, emphasizing the importance of understanding the history of shapes and the ethical implications of preserving asymmetries.
Covers information, memory, glyphs, writing systems, digital images, physical and morphological connections, 3D shapes, and the challenges of computational processing.
Introduces semantic modelling through tabular data and RDF, covering relational databases, schema migration, future-proof schemata, SPARQL querying, and metaknowledge limitations.
Delves into rule systems, simulations, and parallel worlds, exploring Prolog, backtracking algorithms, logic complexity, the Game of Life simulation, and the concept of Simulats.
Explores style transfer, image translation, self-supervised learning, video prediction, and image description generation using deep learning techniques.
Explores non conceptual knowledge systems through image translation, video synthesis, self-supervised learning challenges, and universal representations.
Explores modeling, motivating, and creating platforms that leverage user wisdom and work power, examining user personas, distribution, and engagement dynamics.
