Debrief - Material from completely non-required reading & exploration alongside my Graduate program
This basically is a list of things that blew my mind/provided intuition to what I was into over the period of grad school. None of them were of any kind of required reading for school. I sort of wish some of them were. Some are full-texts, some are Amazon links (Maybe you can borrow it off a library. I did).
There are also published articles, arxiv papers links and youtube videos in the list. I have classified them by the general phase that I was in while discovering each of these resources. Often the phases highly correlate to the classes I was taking in school.
Signal / Audio Processing
Soundscapes: Our Environment and the Tuning of the World - Murray Schafer
Tape Recording Head Experiments
Laser Cut Record - Amanda Ghassaei
Algorhythmics: Understanding Micro Temporality in Computational Cultures
Image / Video Processing
Glitch Moment(um) - Rosa Menkmann
Vernacular of File Formats - Rosa Menkmann
Enhancement of Human Color Vision by breaking binocular redundancy
Next-generation video encoding techniques for 360 video and VR
Internet Architecture + Stochastic Processes
RFC1149: A Standard for the Transmission of IP Datagrams on Avian Carriers
Error: Glitch, Noise and Jam in Modern Media Cultures - Mark Nunes
Network Culture: Politics for the Information Age - Tiziana Terranova
Networks of New York - Ingrid Burrington
Protocol - Alexander Galloway
Information - James Gleick
The Unknown Wireless Network Going to Wall Street
A Journey into the heart of Facebook
The Environmental Toll of a Netflix Binge
How Railroad History Shaped Internet History
Grooming Students for a lifetime of surveillance
Critical & Political Theory
The Human Use of Human Beings - Norbert Wiener
Exploit - Alexander Galloway
A Hacker Manifesto - McKenzie Wark
After Capitalism, The Derivative
Design / Games
Design of Everyday Things - Don Norman
Designs on the Public: The Private Lives of Public Spaces - Kristine F. Miller
Questioning the 3D Printing Revolution
Machine Learning and AI
Deconvolution and Checkerboard Artifacts
What a Deep Neural Network thinks about your #selfie
Image to Image: Demo of Generative Networks
Extreme Style Machines: Generating Textures using Random Neural Networks