A visual manifesto on AI by Matteo Pasquinelli and Vladan Joler
Courses Summer Semester 2020.
A text by Lukas Rehm
A new text by Prof. Matteo Pasquinelli for e-flux journal #101
The Spanish newspaper El País covers Matteo Pasquinelli’s essay on the history of algorithms recently published on e-flux journal.
PhD project by Daniel Franke.
Course Winter semester 2018/2019.
Neural Networks and the Distorted Automation of Intelligence as Statistical Inference
An introduction to the history, philosophy and aesthetics of machinic Intelligence from WWII cybernetics to the recent machine learning algorithms.
An inquiry in the economic agency of technological automata and automation from Babbage’s Analytical Engine to the recent High-Frequency Trading algorithms.