Neural Cartographies: Mapping Brains and Machines
VIS 2492
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Course Information
Description
Brains and machine-learning models are radically different kinds of systems, but both produce complex behavior through interactions distributed across enormous numbers of elements. They are difficult to see, challenging to describe, and especially tricky to represent across scales. This workshop asks what becomes visible when we map these systems alongside one another, without pretending that they work in the same way.
We’ll look at LLMs, brains, and other systems of distributed intelligence, asking how they respond to questions about space, meaning, power, and landscape.
School
Graduate School of Design
Credits
4
Cross Reg
Available for Harvard Cross Registration
Department
Graduate School of Design
Course Component
Project-based Seminar
Instruction Mode
In Person
Subject
Visual Studies & Communication
Grading Basis
GSD Graded
Distributional Electives
MDes Publics Domain Distributional Elective
Limited Enrollment
Limited enrollment, GSD students given priority
