Generative Art

DM3008

S2 AY2024

S2 AY2024

Syllabus

ntu S1 AY2526 | DM3008 | Generative art

(under 'Information')

Submissions

Upload your outcomes here

READINGS

Download the readings here

Schedule

Week 1

ntu S1 AY2526 | DM3008 | Generative art

August 11

Introduction to GenArt

Week 2

August 18

Autonomous Systems in Art

Exercise 1 (5%)

Week 3

August 25

Coding in Art

Exercise 2 (5%)

Week 4

September 1

Natural Intelligence in Art

Live Performance in GenArt

Week 5

September 8

AI in Art

Exercise 3 (5%)

Week 6

September 15

Creating Generative Art

Week 7

September 22

Individual Presentations

Presentations (15%)

Schedule

ntu S1 AY2526 | DM3008 | Generative art

September 29

Recess Week

Week 8

October 6

Intro to TouchDesigner 1

Week 9

October 13

Intro to TouchDesigner 2

Week 10

October 20

Deepavali (no class)

Week 11

October 27

Working session: Final Project

Final Project (40%)

Week 12

November 3

Working session: Final Project

Week 13

November 10

Final Project Presentations

Exercise 4 (5%)

Exercise 5 (5%)

Week 14

November 17

Submission Deadline (no class)

Introductions

What does generative mean to you?

What are your interests in generative art?

Survey of everyone's knowledge and skills in softwares or hardwares

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10 min

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About Jo

Jo Ho (b. 1991, Singapore) is an artist working with emerging technology to explore human perceptions and imaginations of our rapidly advancing computational tools. She often questions the conception that digital assets are immaterial by exploring what she calls ‘digital corporeality’, the bridging of the digital with the corporeal.


Jo works with interactive installations, moving images, projection mapping, digital paintings using data and machine-learned graphics as material, and virtual experiences created with game engines. Recently, she has been incorporating performance in her practice to further extend emerging digital tools into live- and body-based work.


www.j-o-h-o.com

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NONOTAK - Shiro

2016

Week 4 | Live Performance & GenArt

Relationship between Humans and Digital Technology

 

Value and Presentation of Digital Art

 

Speculative Futures

 

Physicality vs. Digitality

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ENZYME 1.2 (2023) AT ARTSCIENCE MUSEUM, SINGAPORE

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SORRY FOR THE TECHNICAL DIFFICULTIES (2024) AT ART OUTREACH, SINGAPORE

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Machinations of a Godless Mind (2023) AT HATCH ART PROJECT, SINGAPORE

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My Desire to Consume (2022) at Grey Projects, Singapore

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A DEVELOPING SLATE (2024) AT AMEZ YAVUZ GALLERY, SINGAPORE

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disassemble (2021-2022)

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(RE)ROOTING (2021) AT NATIONAL GALLERY SINGAPORE

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EXQUISITE MONSTER (2022) AT GOETHE INSTITUTE, SINGAPORE

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EXQUISITE MONSTER (2024) AT STARCH.SG, SINGAPORE

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BUSSY TEMPLE (2023) AT T:>WORKS, SINGAPORE

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1

What is generative art?

REFIK ANADOL - Machine Hallucinations

MoMA, 2022 - 2024

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

REFIK ANADOL

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WEEK 1  |  WHAT IS GENERATIVE ART?

TEAMLAB - Universe of Water Particles on a Rock Where People Gather 

2018

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

TEAMLAB

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

DAVID OREILLY - EYE OF THE DReaM

2018

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

DAVID OREILLY

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WEEK 1  |  WHAT IS GENERATIVE ART?

SOL LEWITT - INSTRUCTIONAL DRAWINGS

1975

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

SOL LEWITT

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WEEK 1  |  WHAT IS GENERATIVE ART?

nam jun paik - tv buddha

1974 / 2002

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WEEK 1  |  WHAT IS GENERATIVE ART?

ntu S1 AY2526 | DM3008 | Generative art

WEEK 1  |  WHAT IS GENERATIVE ART?

nam jun paik

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WEEK 1  |  WHAT IS GENERATIVE ART?

JOhn cage - 4'33"

1952

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

JOhn cage

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WEEK 1  |  WHAT IS GENERATIVE ART?

JOhn cage

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WEEK 1  |  WHAT IS GENERATIVE ART?

ZACH LIEBERMAN AND HIS CODING EXPERIMENTS

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

ZACH LIEBERMAN AND HIS CODING EXPERIMENTS

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WEEK 1  |  WHAT IS GENERATIVE ART?

CASEY REAS

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

Sougwen Chung - Sougwen Chung, Drawing with D.O.U.G. Performance

2016

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WEEK 1  |  WHAT IS GENERATIVE ART?

ntu S1 AY2526 | DM3008 | Generative art

WEEK 1  |  WHAT IS GENERATIVE ART?

Sougwen Chung

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WEEK 1  |  WHAT IS GENERATIVE ART?

HOLLY HERNDON - SPAWN

2020

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

HOLLY HERNDON

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WEEK 1  |  WHAT IS GENERATIVE ART?

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WEEK 1  |  WHAT IS GENERATIVE ART?

WHAt is generative art?

Breakaway into smaller groups.

Write down your thoughts.

 

Discuss amongst each other:

 Which projects were you most drawn to?

 What were some similar characteristics?

 How were the projects 'generative'?

 What disciplines does GenArt span?

 What kind of soft/hardware did you see? 

20 min

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WEEK 1  |  WHAT IS GENERATIVE ART?

GENERATIVE ASSOCIATIONS

Let's share what you found in your discussions. 

 

But first: Let's do a word association exercise. Jo will start first, and whoever has a similar word sounds it out. Don't worry about interrupting each other.

5 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 1  |  WHAT IS GENERATIVE ART?

WHAt is generative art?

Let's share what you found in your discussions.

 

 Which projects were you most drawn to?

 What were some similar characteristics?

 How were the projects 'generative'?

 What disciplines does GenArt span?

 What kind of soft/hardware did you see?

 

20 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 1  |  WHAT IS GENERATIVE ART?

Generative art refers to any art practice where the artist uses a system, such as a set of natural language rules, a computer program, a machine, or other procedural invention, which is set into motion with some degree of autonomy contributing to or resulting in a completed work of art.

Philip Galanter, artist and professor at Texas A&M University, from his 2003 paper “What Is Generative Art? Complexity Theory as a Context for Art Theory”

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WEEK 1  |  WHAT IS GENERATIVE ART?

An algorithmic way of creating an aesthetic.

A collaboration between an artist and an autonomous system.

An exercise in extracting unpredictable results from perfectly deterministic processes.

A quest for that sweet spot between order and chaos.

A fresh, fun approach to coding

MATT PEARSON, an author, artist and programmer from his book
"Generative Art: A Practical Guide Using Processing"

FOR WEEK 2

Some questions to think about:

 How do the authors challenge or support your understanding of "creations" from a machine?

 Which of these resonates most with you and why? How does it relate to you?

 How do the authors define "good" generative art? Do you agree?

Read 'Ten Questions Concerning Generative Computer Art'

By Jon Mccormack, Oliver Bown, Alan Dorin, Jonathan McCabe, Gordon Monro and Mitchell Whitelaw

2

AUTONOMOUS SYSTEMS in art

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DISCUSSION ON READING

15 min

 How do the authors challenge or support your understanding of "creations" from a machine?

 Which of the questions are you most curious about and why?

 How do the authors define "good" generative art? Do you agree?

Read 'Ten Questions Concerning Generative Computer Art'

By Jon Mccormack, Oliver Bown, Alan Dorin, Jonathan McCabe, Gordon Monro and Mitchell Whitelaw

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

What does generative mean?

Randomly generated
Unpredictable
Using uncertainty
Unrepeatable
Unique
Varying outcomes
Autonomous systems
Process-driven

Geometric/abstract
Procedural Systematic
Artists set the rules

Recipes
Time, environment
Building relationships
Changing results
Viewer interaction

WEEK 2  |  Autonomous Systems In art

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elements of generativity

Datasets
Iterations
Algorithms
Repetition
Randomness
Automation
Controlled Chaos
Interactivity

Commentary
Autonomous
Algorithms
Visuals
Rules
Time

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

Disciplines that span genart

Game design
Manual/analog
Line art
Robotics
Visual Art
Sonic art/Music
Computer Science
Engineering

Math
Sciences
Graphic Design
Architecture
Painting
Installation
Image-making
Video Art

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

hardware/software

Computers
3D Printers
Digital Screens
Projector
Robots
Cameras
Mics
Sensors

Speakers
Environment
Nature
Paint / Trad Media
Cameras
P5js
TouchDesigner
Unity

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

Aesthetic styles of genart

Animated
Minimalistic
Humor
Abstract
Interactivity
Natural
Geometric
Data-driven

Painting
Games, programming
Point clouds
Experimental
Surrealism
Organic
Avatars

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

Coined in 1965 by the German philosopher Max Bense, the term generative art describes works based on an algorithmic code or a mathematical formula. Generative art is made through a set of rules that automates the output where there is usually randomness embedded in the algorithm. 

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2526 | DM3008 | Generative art

"Bense’s theory of generative art assumes not only that aesthetic experience can be measured but that it can also be rationally and predictably produced.

WEEK 2  |  Autonomous Systems In art

ntu S1 AY2024 | DM3008 | Generative art

WEEK 2  |  autonomous systems in art

INPUT

OUTPUT

UNPREDICTABLE OUTCOMES

UNPREDICTABLE OUTCOMES

PREDICTABLE OUTCOMES

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WEEK 2  |  autonomous systems in art

INPUT

OUTPUT

Sweet Spot

ntu S1 AY2526 | DM3008 | Generative art

WEEK 1  |  WHAT IS GENERATIVE ART?

questions to keep in mind

 How does the artist approach technology?

 What is the artist investigating when working with technology?

 How do you think the artist addresses the viewer in their work?

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marcel duchamp - Fountain

1917

WEEK 2  |  autonomous systems in art

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marcel duchamp

(1887 - 1968)

WEEK 2  |  autonomous systems in art

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Nan rosenthal, the metropolitan museum of art, oct 2004

[link]

By World War I, he had rejected the work of many of his fellow artists as “retinal” art, intended only to please the eye. Instead, Duchamp wanted, he said, “to put art back in the service of the mind.”

WEEK 2  |  autonomous systems in art

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marcel duchamp - 3 STANDARD Stoppages

1913-1914

WEEK 2  |  autonomous systems in art

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marcel duchamp - 3 STANDARD Stoppages

1913-1914

The Idea of the Fabrication


–If a threadone meter longfalls straight from a height of one meter on to a horizontal plane twisting as it pleases and creates a new image of the unit of length

 

— 3 examples obtained more or less similar conditions considered in their relation to one another they are an approximate reconstitution of the unit of length


The 3 standard stoppages are the meter diminished.

WEEK 2  |  autonomous systems in art

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(Katherine Kuh, The Artist's Voice: Talks with Seventeen Artists, New York 1962, p.81.)

tate.org.uk

[link]

Asked what he considered to be his most important work, he replied: 'As far as date is concerned I'd say the Three Stoppages of 1913. That was when I really tapped the mainspring of my future. In itself it was not an important work of art, but for me it opened the way - the way to escape from those traditional methods of expression long associated with art. For me the Three Stoppages was a first gesture liberating me from the past.'

WEEK 2  |  autonomous systems in art

ntu S1 AY2024 | DM3008 | Generative art

marcel duchamp - bicycle wheel

1951 (3rd version), 1913 (lost)

WEEK 2  |  autonomous systems in art

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artists from the dada movement (1916)

WEEK 2  |  autonomous systems in art

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Artland magazine

[link]

Reacting against the rise of capitalist culture, the war, and the concurrent degradation of art, artists in the early 1910s began to explore new art, or “anti-art”, as described by Marcel Duchamp. They wanted to contemplate the definition of art, and to do so they experimented with the laws of chance and with the found object.

 

Theirs was an art form underpinned by humor and clever turns, but at its very foundation, the Dadaists were asking a very serious question about the role of art in the modern age.

WEEK 2  |  autonomous systems in art

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First dada gallery opening

1920

WEEK 2  |  autonomous systems in art

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exquisite corpse (invented by surrealists)

as early as 1918

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Cadavre Exquis with Esteban Francés, Remedios Varo, Oscar Domínguez, Marcel JeaN

1935

WEEK 2  |  autonomous systems in art

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WEEK 2  |  autonomous systems in art

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1945

WEEK 2  |  autonomous systems in art

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THE ENAIC at the university of pennsylvania

1945

WEEK 2  |  autonomous systems in art

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first modern computer in the world, using electronic technology

WEEK 2  |  autonomous systems in art

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1970s

WEEK 2  |  autonomous systems in art

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LINC (mit, 1962)

Datapoint 2200 (IBM, 1970)

Micral N (R2E, 1973)

Xerox Alto (1973)

WEEK 2  |  autonomous systems in art

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 from left to right: the Commodore PET 2001, the Apple II, and the Tandy/Radio Shack TRS-80 Model 1

1976

WEEK 2  |  autonomous systems in art

ntu S1 AY2024 | DM3008 | Generative art

1960s

WEEK 2  |  autonomous systems in art

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WEEK 2  |  autonomous systems in art

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Audio casette

Video game console

The computer mouse

Telephone network

Computer networking

Satellite communications

Lasers

Optical fibers

Bell telephone monopoly in US

WEEK 2  |  autonomous systems in art

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EXPErIMENTs IN ART AND TECHNOLOGY

1966

WEEK 2  |  autonomous systems in art

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EXPErIMENTs IN ART AND TECHNOLOGY

1966

WEEK 2  |  autonomous systems in art

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EXPErIMENTs IN ART AND TECHNOLOGY

1966

WEEK 2  |  autonomous systems in art

Robert Rauschenberg
Robert Whitman

Bill Klüver
Fred Waldhauer

Robert Breer

John Cage

Chandralekha

Lucinda Childs

Öyvind Fahlström

Deborah Hay

Marcos Marin

Fujiko Nakaya

Dashrath Patel

Steve Paxton

Yvonne Rainer

Vikram Sarabhai

Xanti Schawinsky

David Tudor

Andy Warhol

Beatie Wolfe

Nam Jun Paik

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BELL LABS (NEW JERSEY)

1966

WEEK 2  |  autonomous systems in art

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NJ.com "Remembering Bell Labs as legendary idea factory prepares to leave N.J. home"

[LINK]

The sprawling Murray Hill campus on Mountain Avenue was a bustling center for innovation in suburban Union County for decades. It served as the headquarters for a 90-year-old company whose researchers helped earn 10 Nobel Prizes, five Turing Awards for computer science breakthroughs and more than 20,000 patents.

 

At its height, Bell Labs employed nearly 15,000 people in New Jersey, including some of the world’s top scientists and innovators.

WEEK 2  |  autonomous systems in art

OPENING NIGHT OF "9 Evenings: Theatre & Engineering"

[LINK]

ntu S1 AY2024 | DM3008 | Generative art

WEEK 2  |  autonomous systems in art

[LINK]

ntu S1 AY2024 | DM3008 | Generative art

9 Evenings: Theatre & Engineering by E.A.T. & BELL LABS

Performance DOCUMENTATION

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Robert Rauschenberg - Open Score

1966

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WEEK 2  |  autonomous systems in art

JOHN CAGE - VARIATIONS VII

1966

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WEEK 2  |  autonomous systems in art

DEBORAH HAY - SOLO

1966

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ARTIST Julie Martin ON E.A.T.

2013

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WEEK 2  |  autonomous systems in art

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nam jun paik

WEEK 2  |  autonomous systems in art

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nam jun paik - tv buddha

1974 / 2002

WEEK 2  |  autonomous systems in art

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nam jun paik - magnet tv

1965

WEEK 2  |  autonomous systems in art

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nam jun paik - TV CROWN

1965

WEEK 2  |  autonomous systems in art

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nam jun paik - TV CROWN

1965

WEEK 2  |  autonomous systems in art

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Conserving and Exhibiting the Works of Nam June Paik: Joanna Phillips

2013

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"The Wobbulator"

2010

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WEEK 2  |  autonomous systems in art

p5.js Editor

 Make an account [link]

 Follow the demo

 Make an account

An introduction to p5.js

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WEEK 2  |  autonomous systems in art

p5.js Editor

 Functions help structure your code.

 Code is executed from top to bottom (order matters).

 Curly braces {} help enclose code in a function.

 Don't for get your camelCase.

 American spelling when calling for built-in variables and functions.

 Arithmetic rules here apply

Important things to note

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WEEK 2  |  autonomous systems in art

p5.js Editor

 Arithmetic rules here apply

Important things to note

+ addition

- subtraction

* multiplication

/ division

 

ctrl + / to comment Windows

cmd + / to comment on Mac

 

console.log() to talk to the JS Console

 

Colors are either in RGB (255, 255, 255) or in hexadecimal ('#000000').

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WEEK 2  |  autonomous systems in art

p5.js Editor

Important things to note

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Demo 1

 p5.js reference [link]

 2D Primitives [ellipse / line / rect]

 Styling [fill / noFill / stroke / strokeWeight / noStroke]

 In-built variables [mouse X / mouse Y / width / height]

Let's begin with simple shapes and styling

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Demo 2

 p5.js reference [link]

 Randomness, values between a range [random]

 Ever increasing value based on when the sketch was started [frameCount]

 Creating simple conditions based on in-built functions like mousePresssed / keyPressed

Let's begin with simple animation

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Exercise 1

 Open and duplicate each of the code listed on the right.

 Experiment with it. How else could you transform the outcome?

 Is there anything you do not recognize? Variables or functions? Search on the p5.js reference to understand more.

Experiment with already created code

40 min

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WEEK 2  |  autonomous systems in art

Exercise 1

 By the end of class, please screenshot and upload your outcomes into this folder.

Experiment with already created code

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WEEK 2  |  autonomous systems in art

References

FOR WEEK 3

Some questions to think about:

 How does Pearson differ in his definition of Generative Art from Galanter?

 What example or idea stood out to you?

 How could you apply Pearson's way of thinking about your own creative process?

Read 'Generative Art: A Practical Guide using Processing' Intro and Chapter 1 only

By Matt Pearson, forward by Marius Watz

CODING in art

3

DISCUSSION ON READING

15 min

Some questions to think about:

 How does Pearson differ in his definition of Generative Art from Galanter?

 What example or idea stood out to you?

 How could you apply Pearson's way of thinking about your own creative process?

Read 'Generative Art: A Practical Guide using Processing' Intro and Chapter 1 only

By Matt Pearson, forward by Marius Watz

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

INDIVIDUAL ACTIVITY

On a sheet of paper:

 Place 25 points at random. These dots should be evenly distributed.

 All of the points should be connected by straight lines.

Drawing #118

By Sol Lewitt

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Draw as you interpret the instructions. There is no right or wrong way!

5 min

sol lewitt - drawing #118

1971

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WEEK 3 |  Coding In art

sol lewitt - drawing #118

1971

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

SOL LEWITT's instructional Drawings

1968 - 2007

LeWitt himself observed in 1971 that "each person draws a line differently and each person understands words differently".

 

The variations in the pressure and speed of the crayon line, its darkness and breadth, the abruptness with which lines end and the confidence with which they meet, will always depend on who's doing the drawing. LeWitt continued: "Neither lines nor words are ideas, they are the means by which ideas are conveyed." 

 

[link to text]

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

THE ENAIC at the university of pennsylvania

1945

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

 from left to right: the Commodore PET 2001, the Apple II, and the Tandy/Radio Shack TRS-80 Model 1

1976

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Early computer art generally refers to computer art made from the 1950s through the 1980s, before personal computers were widely available and used. Much of this art was created by engineers and scientists, as computing resources were accessible only in university and research laboratories. 

 

- artsy.net

EARLY COMPUTER ART

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

frieder nake

Random Polygonal Train

1965

Vera Molnar

100 Trapezes

1976

manfred mohr

P-197 J

1979

george nees

Computergrafik Computerplastik

1970

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean Tinguely

1925 - 1991

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean Tinguely -  Méta-Matic no 17

1959

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean Tinguely -  Méta-Matic series

1955-1959

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Graphomat z64

1961

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

calcomp 745 flatbed plotter

1972

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

modern day plotter

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

axidraw - modern day pen plotter

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

frieder nake - random polygon

1963

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

frieder nake - 13/9/65 Nr. 2 (homage to paul klee)

1965

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

frieder nake - 02/09/1965 (boxes with rectangular hatchings nr. 6)

1965

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

frieder nake  -  matrizenmultiplikation serie 29

1967

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

manfred mohr -  p021-g

1970

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

manfred mohr -  p031b

1970

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

manfred mohr -  p-100, combinatorial framework of the ordinal 15

1972

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

manfred mohr -  p-135a

1973

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

manfred mohr -  p-197-f

1977

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

vera molnár -  interruptions

1969

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

vera molnár -  inclinaisons 32

1971

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

vera molnár -  22 ((Des)ordres)

1974

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

vera molnár -  molndrian, 74,066/13.30.37

1974

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

michael noll -  pATTERN FIVE

1962

(part of his paper 'Computer-Produced Patterns')

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

michael noll -  computer composition with lines

1965

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

michael noll -  ninety computer-generated sinusoids with lineraly increasing period

1965

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

JOHN WHITNEY -  EXPERIMENTS IN MOTION GRAPHICS

1968

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Also known as computer-generated art, and can also include fractal art.

It uses simple algorithms to create art and can be output by a computer display, printed, or drawn using a plotter.

 

- artsy.net

ALGORITHMIC ART

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

roman verostko - untitled

1987

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

roman verostko - untitled #81

1987

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

roman verostko - pathway -- lung shan II

1989

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

roman verostko - Derivation of the Laws of the Symbols of Logic From the Laws of the Operations of the Human Mind: An Excerpt From the Writings of George Boole (End piece)

1990

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

roman verostko - pathway series

1993

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean pierre hebert - olive bark

1990

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean pierre hebert - Jambes noires avec moire

1990

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Jean pierre hebert - Esprit Planant Au-Dessus Des Eaux (Spirit Hovering Above Waters)

1991

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Also known as computer-generated art, and can also include fractal art.

It uses simple algorithms to create art and can be output by a computer display, printed, or drawn using a plotter.

 

- artsy.net

CONTEMPORARY EXAMPLES

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

processing (by casey Reas and ben fry, with daniel shiffman)

2001

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

casey reas - process 4

2005

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

casey reas - process 13 software

2011

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

casey reas - network D (image 2)

2012

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

casey reas - pfft!

2014

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Peter Bauman: At Le Random, we think of generative art history by generation, informing our collection as well as projects like our Generative Art Timeline. We’ve identified eight phases that fit into three very broad generations: 

Generation 1: 1950s - 1980s (The Computer Era)
Generation 2: 1990s - 2014 (The Internet Era)
Generation 3: 2015 - today (The On-Chain Era)
Can you talk about how you would group the different generations of digital generative artists?

 

Casey Reas: I think of the first generation as the “Mainframe Era.” And then I think of the second as the “Studio Era.” When computers went into artist studios, it was a major change and a major shift. The Apple II (1977), Commodore 64 (1982) and Commodore Amiga (1985) all represent enough of a change, moving out of the research labs and into artist studios, that it's a whole other era.

 

- Le Random

CASEY REAS ON THE HISTORY OF GENERATIVE ART

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

tyler hobbs - fragments of vision d

2014

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

tyler hobbs - fidenza #374

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

tyler hobbs - one one overflow

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - permanent distraction

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - permanent distraction

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - Art and the blockchain

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - RANDOM FEAR (WITH MIRRORS)

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - complex computational compositions

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - Abstract Browsing 16 03 09 A B C (Waze)

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - Abstract Browsing 16 10 05 (Google Spreadsheets)

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Rafaël Rozendaal - Abstract Browsing 18 08 01 (Google Spreadsheets)

2018

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

zach lieberman - color ribbon study #1

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

zach lieberman - block gradient field

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

zach lieberman - chrome waves (still)

2023

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

zach lieberman - center point circle study

2024

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

zach lieberman - GRID LIGHT STUDY [link]

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

ntu S1 AY2526 | DM3008 | Generative art

CONTEMPORARY ARTISTS USING CODE

WEEK 3  |  CODING In art

DISCUSSION

 How did each artist use rules or systems differently?

 How were the artworks influenced by the technology the artists used?

 Which artist's approach inspires you most?

 If you had to choose one rule, system or process from what you saw today to experiment with, which would you choose?

Artists who use code to make art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

10 min

p5.js Recap

Covered last week

+ addition

- subtraction

* multiplication

/ division

 

ctrl + / to comment Windows

cmd + / to comment on Mac

 

console.log() to talk to the JS Console

 

Colors are either in RGB
(255, 255, 255) or in hexadecimal ('#000000').

 2D Primitives [ellipse / line / rect]

 Styling [fill / noFill / stroke / strokeWeight / noStroke]

 In-built variables [mouse X / mouse Y / width / height]

 Random values between a range [random(min, max)]

 Ever-increasing value [frameCount]

 Simple conditions mousePresssed / keyPressed

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 3

To cover this week

>     greater than

<     less than

>=  greater than or equal to

<=  less than or equal to

==  equal to

!=   not equal to

 Comparison operators

+=   addition assignmnet

-=    subtraction assignment

*=    multiplication assignment

/=    division assignment

%=  remainder assignment

 Assignment operators

&&   (and) both conditions are true

| |      (or) if at least 1 condition is true

 Logical operators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 3

Conditional Statements

Conditionals in code (if, else if, else) let a program make decisions by running different instructions depending on whether certain conditions are true or false.

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 3

Conditional Statements

 Custom variables [let]

 RGB color information [color]

 Conditionals [if, else if, else]

 Transformations [translate, rotate]

 Containing transformations [push, pop]

10 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 4

Switch Statement

 Switch statement [switch] (in conjunction with mousePressed and keyPressed

 Switch statement with if()

10 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 5

For Loop [for]

     Defining i for iterations

     Defining the maximum value for i

     Value added to i after each iteration

5 min

 i++ for regular increments of 1

 i+= for set value of increments

 if(i % 2) for every other element

for (let i = 0; i < 10; i++) {

  console.log(i);

}

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

DEMO 5

Sine function [sin]

     Multiply the wave, changing min/max

     Set the speed of the wave

     Shift the wave with an offset value

5 min

amplitude * sin(frequency * i) + offset

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Exercise 2

 Open and duplicate each of the code listed on the right.

 Experiment with it. How else could you transform the outcome?

 Is there anything you do not recognize? Variables or functions? Search on the p5.js reference to understand more.

Experiment with already created code

30 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

Exercise 2

 By the end of class, please screenshot and upload your outcomes into this folder.

Experiment with already created code

ntu S1 AY2526 | DM3008 | Generative art

WEEK 3 |  Coding In art

FOR WEEK 4

Some questions to think about:

 What are the expansive disciplines that Galanter defines as part of GenArt?

 What is his view on autonomy or rule-based processes in GenArt?

 How does he modify or update his previous definition of Generative art from 2003?

Read 'Generative Art Theory' Introduction only, up to page 155

By Philip Galanter

4

Live Performance & Generative Art

DISCUSSION ON READING

15 min

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Some questions to think about:

 What are the expansive disciplines that Galanter defines as part of GenArt?

 What is his view on autonomy or rule-based processes in GenArt?

 How does he modify or update his previous definition of Generative art from 2003?

Read 'Generative Art Theory' Introduction only, up to page 155

By Philip Galanter

404.zero - 8.0.1

2019

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

404.zero - ARRIVAL

2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Ryoji ikeda - live at sonar

2010

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Ryoji ikeda - test pattern

2013

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

rhizomatiKs x Elevenplay

2017

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

rhizomatiKs x Elevenplay

2017

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Louis-philippe demers & Bill Vorn - inferno

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Louis-philippe demers & Bill Vorn - inferno

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

NONOTAK

2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

marshmallow laser feast - we live in an ocean of air

2018

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

marshmallow laser feast - we live in an ocean of air

2018

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Robert henke - CBM 8032 AV

2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Robert henke - phosphor

2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Alexandra Cárdenas and Olivia Jack @ ICLC

2019

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

Francesco Corvi - Live Coding Performance

2023

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  Live Performance  In genart

natural intelligence in art

4

INTELLIGENCE

the ability to learn, understand, and make judgments or have opinions that are based on reason

 

-Cambridge Dictionary

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

INTELLIGENCE

1 : the ability to learn or understand or to deal with new or trying situations.

2 : the ability to apply knowledge to manipulate one's environment or to think abstractly as measured by objective criteria (such as tests)

 

-Merrian-Webster

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

BIOART

It was not until in 1997 artist Eduardo KAC coined the term “bio art” in his performance work, Time Capsule, that theorists and critics started to use it to refer to art practices in which artists work with “live tissues, bacteria, living organisms, and life processes.”

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

BIOART

In the book, Signs of Life: Bio Art and Beyond, KAC explained:

 

Bio art is a new direction in contemporary art that manipulates the processes of life. Invariably, bio art employs one or more of the following approaches:

(1) The coaching of biomaterials into specific inert shapes or behaviors;

(2) the unusual or subversive use of biotech tools and processes;

(3) the invention or transformation of living organisms with or without social or environmental integration

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Eduardo kac - Genesis

1999

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

This gene was created by translating a sentence from the biblical book of Genesis into Morse Code, and converting the Morse Code into DNA base pairs according to a conversion principle specially developed for this work. The sentence reads: "Let man have dominion over the fish of the sea, and over the fowl of the air, and over every living thing that moves upon the earth."

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

 

Paul Vanouse

 

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

 

Paul Vanouse, Latent Figure Protocol (2007-2010)

 

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

a media installation that uses DNA samples to create emergent representational images.

joe davis - bacterial radio

2012

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

a crystal radio system that uses a protein derived from marine sponges to create an electrical circuit capable of receiving AM radio transmissions

Adam Brown - Origins of Life: Experiment #1.4

2010

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Scientists such as Haldane and Oparin in the 1920s and ‘30s proposed that life evolved over great periods of time through a series of stages that produced first simple organic molecules, then more complex ones, then self-catalytic ones, and finally organized modules from which the first cells could emerge.

Sarah grant - in collaboration with Selena Savic, as part of the Thinking Toys for Commoning research project

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Sarah grant - in collaboration with Selena Savic, as part of the Thinking Toys for Commoning research project

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

After exploring outward evenly, the slime mold decides to head toward the object of higher mass and wider mass distribution.

 

“Cognition is all around you. It really is everywhere,” says Levin. “And really, it’s not just for furry, brainy things.” 

 

[harvard magazine]

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

 ecoLogicStudio - XenoDerma

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Špela Petrič - Phytoteratology

2019

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Špela Petrič - Phytoteratology

2019

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

A molecular performance in which plant embryos are grown in artificial wombs in lieu of seeds. Baby plants are nourished with hormones extracted from the artist’s urine. Thus plant-human hybrids (phytopolutans) are bred

amy karle - regenerative reliquary

2015-2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Bioprinted scaffold that disintegrates over time, with the intention of human stemcells seeded onto the design.

amy karle - regenerative reliquary

2015-2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

heather barnett - the physarum experiments

2008

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Since 2008 Heather Barnett has been working with the true slime mould, Physarum polycephalum, observing and influencing its growth patterns, navigational abilities and seemingly human behaviours. Used as a model organism in diverse scientific studies, the single cell organism is attributed with a primitive form of intelligence, problem solving skills and the ability to anticipate events... 

 

...The organism is a nomadic information system. As it creeps across its terrain it makes continuous micro-decisions about surrounding atmospheric conditions and resource distribution. With no brain or sensory organs, this amorphous cellular mass computes the complexities of its environment through chemical signalling. It is a highly adaptive biological barometer.

Daria Fedorova - Artists full body imprint. Nutrient, spores, 2 weeks of incubation

2021

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

The artist laces petri dishes with various bacterias and other organisms before placing extra elements like sugars, and sprinkles in the container. 

philip beesley - Hylozoic Ground

2010

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Helen Pynor and Peta Clancy - The Body is a Big Place

2011

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

As part of the installation a fully functioning heart perfusion system is used to reanimate to a beating state a pair of fresh pig hearts during a live performance. 

chelsea manning - radical love

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Radical Love is an homage and exploration of gender identity stereotypes in forensic DNA phenotyping. The full color life-sized 3d printed portraits of Chelsea Manning were generated from analyses of her DNA, extracted from cheek swabs and hair clippings sent to the artist from Chelsea through the mail while she was in prison.

Individual Presentations

 Read the brief [link]

 Present a deep dive of one or two artworks by an artist from the list.

 Outline the generative concept of the work, artistic process and technology involved.

 At the end, close off by stating how it interests you.

Preparing for your presentations (Sept 22)

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

FOR WEEK 5

 Select an artist to present on.

 Inform Jo your chosen artist by the end of class or via email by the end of the week.

 Start preparing your presentations for September 22 (Week 7)

Preparing for your presentations

FOR WEEK 5

 Select an artist to present on.

 Inform Jo your chosen artist by the end of class or via email by the end of the week.

 Start preparing your presentations for September 22 (Week 7)

Preparing for your presentations

AI IN ART

5

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

the myth of Talos

Unlike Galatea, whose “realism became reality supernaturally,” Talos was not merely created “by magic spells or divine fiat,” writes Mayor. He was said to be engineered by Hephaestus, or rather “made, not born,” in a process the ancients “might have called biotechne, from bios ‘life’ and techne, ‘crafted through art or science.’

 

Talos was depicted in myth as a machine programmed to act human though never capable of achieving regular human life—what one might call a robot today.

 

[Smithsonian Magazine]

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Paracelsus and Homunculus in ‘De Natura Rerum’ (1537)

Artificial life has been a topic of discussion long before the advent of cloning. Greek legends, such as Cadmus’ dragon’s teeth soldiers and Pygmalion’s living statue, are just some of the earlier examples of this concept. During the Renaissance Period, the homunculus, an artificial human, came to the fore in alchemist’s writings. The Swiss physician/alchemist Paracelsus (1493/1494–1541 CE) contributed to the rise in prominence of the being.

 

[C.S. VOLL ON MEDIUM]

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WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ON MARY SHELLEY'S FRANKENSTEIN (1818)

The narrative of Victor Frankenstein's relentless pursuit of creating life, only to be haunted by the unforeseen horrors of his creation, has resonated across generations. This tale of hubris, moral dilemmas, and the intricate relationships between creator and creation continues to transcend time, finding a striking resonance in contemporary discussions on AI and its potential implications. The research article endeavors to delve into the parallels between AI and "Frankenstein," unraveling the profound ethical dilemmas faced by AI developers, policymakers, and society at large.

 

[SSRN]

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WEEK 5 |  AI In art

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WEEK 5 |  AI In art

computing machinery and intelligence (1950)

I propose to consider the question, ' Can machines think ? ' ... The new form of the problem can be described in terms of a game which we call the 'imitation game '. The new form of the problem can be described in terms of a game which we call the 'imitation game '. It is played with three people, a man (A), a woman (B), and an interrogator (C) who may be of either sex. The interrogator stays in a room apart from the other two. The object of the game for the interrogator is to determine which of the other two is the man and which is the woman... We now ask the question, ' What will happen when a machine takes the part of A in this game ? '

 

[A. M. Turing]

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

What is ai?

What are some examples?

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2024 | DM3008 | Generative art

WEEK 4  |  AI IN ART

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WEEK 5 |  AI In art

Artificial intelligence

artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.

 

[Britannica]

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WEEK 5 |  AI In art

Subsets of AI

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WEEK 5 |  AI In art

How do we learn what an apple is?

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WEEK 5 |  AI In art

Dataset

A dataset in machine learning and artificial intelligence refers to a collection of data that is used to train and test algorithms and models. These datasets are crucial to the development and success of machine learning and AI systems, as they provide the necessary input and output data for the algorithms to learn from.

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Datasets are the key to training a model

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Latent space

In AI, latent space can be defined as a multidimensional vector space that represents the learned characteristics of a set of data. This abstract space encapsulates the essential features and attributes of the input data, fostering the development of efficient AI models.

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Latent Space

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WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Generative adversarial networks (GAN)

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WEEK 5 |  AI In art

Diffusion models (i.e. stable diffusion)

REFIK ANADOL - Machine Hallucinations

MoMA, 2022 - 2024

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

REFIK ANADOL - LATENT BEING

kraftwerk berlin, 2019

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Andy Gracie and Brian Lee Yung Rowe -  Autoinducer_Ph-1

2013

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Andy Gracie and Brian Lee Yung Rowe -  Autoinducer_Ph-1

2013

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Sofia Crespo - Neutral zoo

2018 - 2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Sofia Crespo - ‘{{floral automata_1236}}’

2018 - 2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Sougwen Chung - Sougwen Chung, Drawing with D.O.U.G. Performance

2016

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Sougwen Chung

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

HOLLY HERNDON - SPAWN

2020

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

HOLLY HERNDON

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WEEK 5 |  AI In art

Sarah meyohas - cloud of petals

2017

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Sarah meyohas - cloud of petals

2017

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Proof of Personhood

2024

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WEEK 5 |  AI In art

Christopher Kulendran Thomas - Being Human

2019/2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Christopher Kulendran Thomas - Being Human

2019/2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Christopher Kulendran Thomas - Being Human

2019/2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

jo+kapi - simulacra

2023

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WEEK 5 |  AI In art

Jo Ho - Skelchion #1

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

Jo Ho - Skelchion Drafts

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

anatomy of an ai system by vladan joler and kate crawford

2018

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WEEK 5 |  AI In art

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WEEK 5 |  AI In art

By the end of 2025, De Vries-Gao estimates, energy consumption by AI systems could approach up to 49% of total datacentre power consumption, again excluding crypto mining. AI consumption could reach 23 gigawatts (GW), the research estimates, twice the total energy consumption of the Netherlands.


[The Guardian]

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WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 5 |  AI In art

DISCUSSION ON lecture

15 min

Some questions to think about:

 What is a topic in AI in Art that interests you? Share it with the overall group afterwards. Prompt us with a question.

 What is your stance on AI Art? Is it "real" art? Why or why not?

 What are some precautions we need to make when using AI in Art?

Review today's lecture on artificial intelligence in art, and reflect in groups

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WEEK 3 |  Coding In art

Gen:48 competition by runway

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WEEK 5 |  AI In art

Exercise 3a

 Pick a movie of your choosing. It may be anything from live action to animated.

 Look up (3) still shots from this movie

 Write (1) prompts for each of them, and generate images from Text to Image in Runway ML.

Using Runway ML's tools to create images

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3a

Using Runway ML's tools to create images

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3a

Using Runway ML's tools to create images

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3a

Using Runway ML's tools to create images

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3a

Using Runway ML's tools to create images

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Describe the scene

Objects (Shape? Material? Orientation? Action?)

Landscape (Foreground / Background)

Atmosphere (Dusty? Foggy? Clear?)

Color grading (Monochromatic? Low or high saturation?)

Exercise 3a

Example image prompt

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WEEK 4 |  NATURAL INTELLIGENCE In art

One huge floating spaceship in the distance hovering above a vast expanse of desert. Void of all life except for three figures floating downwards where there are 7 more figures on the ground. The air is orange and dusty. The scene is dark, moody and made of shades of orange.

Exercise 3a

Example image prompt

 Save your generated images or use frame as input for video.

 

 

 

 

 Generate videos with each of these images. Use your imagination. Describe your shot before you generate the video.

Using Runway ML's tools to create a short video

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WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3B

 Some directions you can take with your video:

     A faithful recreation.

     Starts as a faithful recreation, but             develops into something else

     ‣ A completely different rendition

     ‣  Image generations are altered,

            video generations are experimental

 

Using Runway ML's tools to create a short video

ntu S1 AY2526 | DM3008 | Generative art

WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3B

  Tips:

     Stylistically, do all the video clips    

           match? Do they have to?

     ‣ How do they tell a story, if any?

     ‣ What is the intent of the entire video,

           if any?

Using Runway ML's tools to create a short video

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WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3B

Don't forget about the various other tools

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WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3B

 Use a video editor to edit the video clips together. You may use any you wish.

 Here are some free ones:

   Veed / Adobe Express / Capcut

 Once completed, upload it onto our class

   OneDrive folder.

Edit the videos together into one clip

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WEEK 4 |  NATURAL INTELLIGENCE In art

Exercise 3C

FOR WEEK 6

 If you haven't informed Jo of the artist you have selected please do so ASAP.

 Keep working on your presentations for September 22 (Week 7)

Keep working on your presentations

Creating with Generative art

6

Phase 1

Phase 2

Phase 3

Phase 5

  • Ideas
  • Questions
  • Sketching
  • Brainstorming
  • Planning
  • Testing
  • Iterating
  • Decision making

1 minute to a few years to a lifetime

Conceptualization

Planning

Installation

Experimentation

Phase 4

  • Putting the project together 
  • Troubleshooting
  • Building parts
  • Preparing for installation

Preparation

  • Setting up
  • On-site adjustments
  • Last minute purchasing
  • Troubleshooting

~ 1 week - 2 weeks

3-5 weeks

1-3 weeks

2-3 days

Creating an Artwork

A suggested guideline

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WEEK 6 |  Creating with Generative Art

my desire to consume (exhibit name)

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ENZYME 1.0 presented at grey projects

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ENZYME 1.0 presented at grey projects

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ENZYME 1.0 presented at grey projects

2022

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

PHASE 1

Conceptualization

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Personal questions about NFTs

What is the value of digital artwork?

Why are people purchasing these images?

What is the point of these images?

Is the value of the artwork just about its potential value in the market?

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WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Initial conceptualization (2021)

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Initial conceptualization (2021)

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Initial conceptualization (2021)

PHASE 2

Planning

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WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Presentation and participation grant by NAC

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Grey Projects at tiong bahru

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Grey Projects at tiong bahru

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Brief for artist collaborators

PHASE 3

Experimentation

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WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Initial looks at digesting aesthetics

Conway's game of life

1970

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Conway's game of life

1970

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Marketing and pamphlets

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

submissions from artist collaborators

PHASE 4

Preparation

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WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

setup plan

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

renting and purchasing new equipment

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

renting and purchasing new equipment

PHASE 5

Installation

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

setting up screens and wall text

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

all set up, after sculpting wires and loading artworks in

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

enzyme 1.0 at Grey projects (2022)

Sharing interests

10 min

 Write 2 words from each category (see next slide) you're most interested in.

 One word per post-it note. Write your name on each one, at the bottom right.

 Place your post-it notes on the board

 As a group, cluster similar or related words together. Where do we see common ground? Which clusters feel exciting to you? Spot potential collaborators.

Let's find our overlaps and connections in interests

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Sharing interests

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Characteristics of GenArt Elements  Disciplines Hard/software Aesthetics
Randomly generated
Unpredictable
Using uncertainty
Unrepeatable
Unique
Varying outcomes
Autonomous systems
Process-driven
Geometric/abstract
Procedural Systematic
Artists set the rules
Recipes
Time, environment, human and computational processes
Building relationships
Made by rules, results change
Interaction with viewers
Datasets
Iterations
Algorithms
Repetition
Randomness
Automation
Controlled Chaos
Interactivity
Commentary
Autonomous
Algorithms
Visuals
Rules
Time
​Game design
Manual/analog
Line art
Robotics
Visual Art
Sonic art/Music
Computer Science
Engineering
Math
Sciences
Graphic Design
Architecture
Painting
Projection Mapping
Installation
Image-making
Video Art
Hardware
Computers
3D Printers
Digital Screens
Projector
Robots
Cameras
Mics
Sensors
Speakers
Environment
Nature
Paint
Traditional Media
Cameras

Software
P5js
TouchDesigner
Unity
Animated
Minimalistic
Humor
Abstract
Interactivity
Natural
Geometric
Data-driven
Painting
Games, programming
Point clouds
Experimental
Surrealism
Organic
Avatars

Group brainstorm

10 min

 We will group up with different people each time (see next slide) to brainstorm three different project pitches.

 Brainstorm for 10 minutes.

 Give an elevator pitch to the class.

Let's group up and pitch our ideas to the class

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Group brainstorm

ntu S1 AY2526 | DM3008 | Generative art

WEEK 6 |  Creating with Generative Art

Group Part 1 Part 2 Part 3
A Avril
Dora
Jinyao
Hayley
Dora
Rohin
Jakub
Samuel
Jinyao
Jaslyn
Yumeng
Samuel
B Garren
Rohin
Janis
Jaslyn
Avril
Garren
Yumeng
Taehoon
Dora
Janis
Wardah
Taehoon
C Yumeng
Jakub
Natalie
Wardah
Jinyao
Janis
Natalie
Caroline
Avril
Rohin
Natalie
Zhang Yin
D Taehoon
Samuel
Caroline
Zhang Yin
Hayley
Jaslyn
Wardah
Zhang Yin
Hayley
Garren
Jakub
Caroline

PART 1

Projection Mapping Project

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WEEK 6 |  Creating with Generative Art

National Gallery Singapore has asked you to create a projection mapping project for their facade.

‣  What type of concept would you create?

‣  What kind of graphics would you make?

‣ What programs would you use?

You're allowed to use sketches, storyboarding, or slides

10 min

PART 2

Screen-based Project

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WEEK 6 |  Creating with Generative Art

You're allowed to use sketches, storyboarding, or slides

10 min

You have a series of coding outcomes. 

‣  How would you display them using screens?
‣  How are the screens laid out? What sizes are they?

PART 3

Immersive Project

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WEEK 6 |  Creating with Generative Art

You're allowed to use sketches, storyboarding, or slides

You are provided an immersive room of all four walls.

‣  What will you immerse your viewers with?

‣  Is it interactive?

‣  What is the concept or story behind it?

10 min

FOR WEEK 7

Finish your presentations for 22 September. We will follow the order down below. ​Max. 8 mins for presentations, 2 mins for feedback. 10 min break between 8th and 9th presentation.

# Name Artist Chosen
1 Janis Rhizomatiks
2 Garren Raven Kwok
3 Taehoon Philip Beesley
4 Yin Zhang 404.zero
5 Hayley Sofia Crespo
6 Samuel Manfred Mohr
7 Rohin Refik Anadol
8 Dora  Nonotak
# Name Artist Chosen
9 Yumeng Heather Barnett
10 Jinyao 
11 Natalie Jenna Sutela
12 Wardah Casey Reas
13 Jaslyn  David O'Reilly
14 Avril Zach Lieberman
15 Caroline E.A.T.
16 Jakub Eduardo KAC

FOR WEEK 8

 Team of fours (4 groups total)

 Fill up this form by 11:30 pm October 6th

Select your team members

Individual Presentations

7

WEEK 7 PRESENTATIONS

We will follow the order down below. ​Max. 8 mins for presentations, 2 mins for feedback. 10 min break between 8th and 9th presentation.

# Name Artist Chosen
1 Janis Rhizomatiks
2 Garren Raven Kwok
3 Taehoon Philip Beesley
4 Yin Zhang 404.zero
5 Hayley Sofia Crespo
6 Samuel Manfred Mohr
7 Rohin Refik Anadol
8 Dora  Nonotak
# Name Artist Chosen
9 Yumeng Heather Barnett
10 Jinyao 
11 Natalie Jenna Sutela
12 Wardah Casey Reas
13 Jaslyn  David O'Reilly
14 Avril Zach Lieberman
15 Caroline E.A.T.
16 Jakub Eduardo KAC

FOR WEEK 8

 Team of fours (4 groups total)

 Fill up this form by 11:30 pm October 6th

Select your team members

TouchDesigner Workshop 1

8

WEEK 8 PRESENTATIONS

We continue with the presentations we haven't seen yet. Max. 8 mins for presentations, 1 min for feedback.

# Name Artist Chosen
1 Dora Nonotak
2 Jaslyn David O'Reilly
3 Avril Zach Lieberman
4 Caroline E.A.T.
5 Jakub Eduardo KAC

WEEK 8 |  TouchDesigner workshop 1

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Touchdesigner

ntu S1 AY2526 | DM3008 | Generative art

WEEK 8 |  TouchDesigner workshop 1

Exercise 4

ntu S1 AY2526 | DM3008 | Generative art

WEEK 8 |  TouchDesigner workshop 1

FOR WEEK 9

 Team of fours (4 groups total)

 Fill up this form by 11:30 pm October 6th

Select your team members

TouchDesigner Workshop 2

9

FINAL GROUPS

These will be the groups you will be in for the last three weeks of class for your Final Group Project.

Group 1 2 3 4
Jaslyn
Garren
Samuel
Jakub (Kuba)
Hayley
Janis
Jinyao
Yumeng
Avril
Natalie
Wardah
Taehoon
Dora
Rohin
Caroline
Zhang Yin

WEEK 8 |  TouchDesigner workshop 1

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Touchdesigner

ntu S1 AY2526 | DM3008 | Generative art

WEEK 8 |  TouchDesigner workshop 1

EXERCISE 5

ntu S1 AY2526 | DM3008 | Generative art

WEEK 8 |  TouchDesigner workshop 1

FOR WEEK 10

 Review the Final Project brief (NTU Learn).

 Next Monday is a holiday. We will instead be taking online consultations that week Tuesday - Friday to share your first project concepts.

 One person from each group select a meeting time on this form by 11:30 pm October 20th.

Start brainstorming project concepts with your groups