Lecture

Non Conceptual Knowledge Systems

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In course

DH-405: Foundations of digital humanities

This course introduces the core concepts and methodologies of Digital Humanities, integrating both theoretical and practical perspectives. Students learn to work with large-scale cultural datasets, acquiring the tools and techniques required for their proc ...

Description

This lecture covers the concept of non conceptual knowledge systems, focusing on image-to-image translation using conditional adversarial networks, contrastive learning for unpaired image-to-image translation, video-to-video synthesis, self-supervised learning, difficulties in self-supervised learning, video prediction models, universal non-conceptual representations, and the existence of non-conceptual knowledge demonstrated by various encoders/decoders converging in universal intermodal representation spaces.

Instructor

Frédéric Kaplan

Expertise Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction Expertise Digital Humanities, Big Data, Models of language acquisition and evolution, Innovative Interfaces, Artificial Intelligence, Robotics, Developmental Systems, Intrinsic Motivation, Multi-agent system, Joint attention, Gesture Interaction Short biography Pro

Official source

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