Media Arts and Technology

Artificial intelligence has made significant progress through two key deep learning frameworks: Convolutional Neural Networks (CNNs) and Generative Adversarial Networks (GANs). Convolutional neural networks stand out from other neural networks due to their strong performance with image, speech, or a...

Looking at four of this week's examples, these four works, Antonio Somaini's academic essay "Algorithmic Images" (2023), Max Dean's Robotic Chair (2006), and Varvara & Mar's installations A Needle in a Haystack (2024) and Dream Painter (2021), range from theoretical scholarship to practical art. The...

Both *A New Kind of Science* (NKS) and the self-organization chapter from *Self-Organization in Biological Systems* pose the same key question: how can complex global order emerge without a central designer or blueprint? They approach this question from different angles. Camazine and his coauthors f...

Generative Art is defined as a piece of art created by a system that operates autonomously from the artist. The systems can be rule-based, algorithmic, mechanical, social, or purely chance-driven, but all operate in a way not predetermined by the artist. Of course, that broad definition could lead t...

In this era, an artwork is not only a picture or an object, but can also be a schema, a database, or a recomposition of a flow. Legrady's "Big Data: From Data to Meta Data" explains why: once images, sounds, and texts become digital, they are integrated into an economy of information whose value lie...

In studying George Legrady’s Equivalents II, Slippery Traces, and Kinetic Flow, it becomes clear that data is not just a scientific or informational construct—it is a material for artistic expression. Each of these projects demonstrates how information systems, algorithms, and archives can function ...

Lunar Orbiter Program (1966–1967) and the Rise of Digital Cameras I saw original prints of these images when I visited JPL, which prompted me to explore further. Diving into NASA’s *Lunar Orbiter* program, I was most surprised by how its image pipeline prefigures the logic of modern digital cameras....

Bio: Edward R. Tufte is Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University; his research centers on statistical evidence and scientific visualization. He is a fellow of the American Statistical Association and the American Academy of Arts and Sciences. Books...

Bio: Edward R. Tufte is Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University; his research centers on statistical evidence and scientific visualization. He is a fellow of the American Statistical Association and the American Academy of Arts and Sciences. Books...

Vera Molnar Vera Molnar seemed like an interesting choice, so I decided to look at her work for this reflection. I first took a look at https://www.artsy.net/article/artsy-editorial-vera-molnar-mother-computer-art-pioneered-future-abstraction , which was provided in the links for this assignment. T...