Robert Steven Nover
ALUM Design/Photography '73
Joanna Keler
DEEP INSIDE “CalArts. A game-changer in the education of professional artists. CalArts. Grounded in openness, experimentation, critical engagement, and creative freedom. CalArts. Transform ourselves, each other, and the world. Let’s go, stranger I’ll show you CalArts. From outside to inside. To all our concerns, frustration, and alienation. To all what will always stay in counselor’s […]
Adam Zuckerman
A collection of melodies. Embedded like a small light in the corner. This piece engages themes and processes of transparency/translucence, copying/covering, and distance/absence: the traces of a thing not there. Melody fragments expand and contract. Here, melody crystallizes into harmony and harmony unfolds as melody. Like a constellation of stars; or in the direction of […]
Perry Cook
COVID Pan Drum: A Robot Tongue-Drum Rendering of the SARS-2 COVID Virus Genome I’m building a custom robot to play a little lap-sized tongue (steel) drum. A program will read through the roughly 30k base pairs in the COVID 19 (SARS-2 COVID Wuhan Seafood Market) DNA sequence. Particular (known) functioning segments will be sonified when […]
Jennie Park
Three kinetic sculptures explore relationships between circularity/co-opting/recycling and linearity/polarization/binary-ness, and how personal agency or positionality intersects with these linked mechanics. (They’re NOT “voting machines;” they reflect the operation of many large systems, frameworks and conversations, e.g., the relationship between the DIY ethos and capitalism, between the political far left and far right, and among nested […]
Minline Lee
Silver & Matte grey series The avatars of digital era
Joy Chan
14 days in the lockdown April, I was locked up in a central quarantine accommodation. 14 days with the extraction of fresh air and the earth, the only approach for me to connect with the loving world is the peephole in my room door and a locked up window. As I stay, I start to […]
Eyvind Kang
A class album and some videos Nina Flagg, Medusa
Dongpu Ling
ML Landscape I am interested in the inaccurate and unpredictable result that a machine can make. In order to understand its “mind”, I train the machine using images that have not been cropped, to see how it understands a thing that has not be seen before.