rkarp1 – Looking Outwards-02 – Generative Art – Section A

LIA – Waves (2016)

When I read the description for “Waves,” I thought, ok, I’m going to watch a video of some sine waves. When I pressed play, I was blown away. The video completely transformed my emotional state, and then some. I was immediately lulled into a calm, the sort that is stereotypically ascribed to spending time by a body of water. I could even hear the sounds of an ocean. I found myself raising the volume on my computer to try to hear the sound better–only to realize that the video had no sound, and the sound was in my head, brought up from my memory by the video itself.

Still from “Waves,” a generative installation by LIA

On the project’s site (linked at the top of the post), LIA doesn’t go into too many details about the algorithms by which she made “Waves,” but the project description explains that the algorithms allow for changes in rhythm and scale while keeping the direction constant. It is all randomly determined, making for endlessly new patterns. She calls it a “motion painting.” It reminds me of the exercises we did in class today, with the circle moving back and forth at different speeds–but it’d be as if the circle were allowed to leave the canvas and endlessly new, randomly-generated circles appeared directly behind it, forever.

In the About section on her website, LIA states that her minimalist work combines traditional drawing and painting with new digital and algorithmic aesthetics. The bio continues: “She focuses on the translation of certain experienced principles into abstract forms, movements and colours in order to allow the viewer to explore the same on a subconscious level.” I can attest to her success at that from my experience of “Waves.”

As highlighted on the project site, “Waves,” was displayed as part of a concert in 2017. I think “Waves” begs to be combined with music, as my response, which was also aural, did.

Waves @ concert “Blades” by @c (www.at-c.org), with Angelica V. Salvi, Ricardo Jacinto, João Pais Filipe, gnration, Braga. Portugal, 2017/03/03. Photos by gnration / André Henriques

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This image is taken from a series of drawings and medias made for a showcase. Daniel Cardoso Llach focused on the history of computational methods and technologies between the 1949 and 1976 and his other works in the showcase aims to track the evolution of new design representation, stimulation or other data processing software. His work sheds light into how the advancement of technology has changed how designers, engineers, and many across different fields to work, think and communicate their work. The image shown is generated by a custom software system made by Professor Llach to reconstructs Steven A. Coons’ mathematical technique for parametric surfaces.

The showcase will be open from September 22 to November 12 at the Miller Gallery in CMU.

image reference: http://grahamfoundation.org/grantees/5577-designing the-computational-image-imagining-computational-design

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One of the projects that I found very intriguing was Beautiful Chaos which was an artwork created by an app made for leap motion control. The app, which existed previously before the artist’s decision to create this artwork, became a medium for the artist to explore in and create a beautiful work of nebulous lights. I chose this specific artwork because my main source of interest in artistic mediums were lights and color combination. Because I believe that enticement in art mainly comes from its visual presentation, I liked to study aesthetics through the use of many different color combos and understand the use of mood through the usage of lightings especially with neon and natural light. Because the majority of my interest in art comes from its aesthetic beauty more than the content, I tend to choose works that visually entice me which I find mysterious and interesting.

Beautiful Chaos

 

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City Icon developed by Marcin Ignac

It is a generative animation on the panels based on the mix of the intersecting system within the city. Recently, in my architecture studio project, I have been working on site analysis. This project just gave me more perspective on how to express and illustrate mundane conditions such as traffic, water flows, and etc. On the website he describes that bespoke application was develop to run and test the generative animation. The amount the data research went in is impressive, but what I admire the most is the beauty of the expression on the exhibit. the lights are contrasting amazingly well with the background. Not only the simple lines are animated but also the water flow, radius of data, and other interesting features are displayed. In order for this to be generated, I think there needs to be a basic knowledge on the animation program and lots of practice in visualization of data, which is one of the hardest part of my site analysis in architecture studio.

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IBM’s Watson collaborated with Grammy Award-winning producer Alex Da Kid to create a “cognitive song.” I thought this was a really cool project since you don’t really associate music with artificial intelligence. Nonetheless, looking a little bit deeper you realize that the incorporation of Watson actually provided for even more opportunity as it uncovered unknown inspiration for artists.

To work with Watson, Watson first had to be fed millions of unstructured data points into emotional insights that would help create a new kind of music. To do so, Watson analyzed millions of songs, lyrics, and five years of natural language texts that would ultimately help to teach Watson what made a “good” song.

One large initiative Alex Da Kid wanted was to foster a deeper connection with is audience. Thus, Watson was taught the most significant cultural themes, using Watson Tone Analyzer to read news articles, blogs and tweets to find out what people felt about them. Analyzing years’ worth of popular music, Watson Tone Analyzer API read and ultimately created its own lyrics; while Cognitive Color Design Tool analyzed album art to create their song’s album art. Finally, Watson Beat looked at the composition of songs to generate a fully immersive experience for Alex da Kid.

https://www.ibm.com/watson/music/

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Carolyn L. Kane’s book written in 2014, Chromatic Algorithms: Synthetic Color, Computer Art, and Aesthetics after Code, fleshes out the phenomena of how color existed in the past and how human understanding of color continues to change today. I admire the interdisciplinary approach the book takes. It discusses established philosophical and scientific ideas about color and newer technological approaches to color. Her novel breaks boundaries that say color should be a certain way. For instance, blue is a cool color and red is a warm color. Kane shows her readers that this statement can be false. Some key ideas about harmony and balance between colors were based off of nature and artists deemed them correct. However, in science there are times that blue is the warm color and red is the cool color (bunsen burners and stars). Kane did not create the algorithms, but she explores the algorithms of synthetic colors used in today’s technology in her novel.  link    

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Title: Visual Sounds of the Amazon

Year: 2017 (3 weeks ago to be a little more exact, sounds for actual piece were recorded in 2016)

Artist: Andy Thomas

Andy Thomas’s “Visual Sounds of the Amazon” is an extremely cool installment. It involves an array of colored visual shapes that are based on noises or the sounds of the Amazon rainforest. The piece attempts to capture the sounds of the different Amazonian birds in some sort of visual formation. This installment will be presented at a festival in Lima, Peru called “Render”. I really especially love the way he talks about his work, he says, “I see sounds as moving shapes and colours in my imagination. Bringing these to life is the challenging part. There are many countless hours drawing sketches and testing particle effects. Some of the results are more refined and closely match my imagination than others.” It is refreshing to see an artist openly acknowledging their work into something refined and something that could use more work to be similar to their vision.

Visual Sounds of the Amazon from Andy Thomas on Vimeo.

The algorithm of the piece relies mainly on the sound waves of the birds or animals in the Amazon. Thomas does some really impressive things with the 3D soften programs in link with digital audio software. I think the impressive thing is how well-matched the sounds go with the imagery and vice versa. The colors chosen and the shapes that are manipulated are all very detail oriented towards its’ matched sound. I am also really glad that Thomas uses these forms of art as a way to not only raise awareness about the deterioration of the Amazonian rainforest, but also donates money towards the WWF-Australian foundation. I also find it admirable when artists use new found technology and methods to not only influence a new wave of looking and presenting art, but use it for things they are passionate about (or a good cause).

Alternative Links:

 

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The Wombats – Techno Fan

 

Wombats – Techno Fan is generative music video created in 2010 by computational artist Memo Akten. Akten developed his own software using C++/openFrameworks to process video footage of the band. Akten goes into some detail of the process he went through to generate the footage – each raw video shot was edited quite heavily and separated into layers, which were then individually fed through Akten’s software. The software, I imagine, finds the most interesting points of the footage and movement and outputs a new sequence. There are different styles and “looks” applied to different video footage, resulting in a final compilation of a variety of colors and compositions. I wonder how this project would be different if he hadn’t used code and instead drew out each frame. I imagine the results would be extremely different because the randomness of each frame is what makes the video interesting.
The most admirable aspect of this project is that Akten uses existing software to he creates custom software in order to achieve his artistic vision. Not only is he successful in doing so, but the final piece is a visual stunner. He brings the final music video together in After Effects and Final Cut Pro.

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http://www.memo.tv/pattern-recognition/

This project is Memo Akten’s “Pattern Recognition,” created in collaboration with choreographer Alexander Whitley.

This generative art project involves a series of lights learning and observing how two dancers move and interact. The lights thus move accordingly to the dancers’ movements and placement within the space.

I appreciated how much the light is fully integrated with the dance art form. Rather than merely being a light show that would provide an aesthetic value to the performance, the lights serves a cognitive purpose for it assists dancers with recognition and learning with routines and dance. This project made me realize that generative art is not limited to media art but also performance art and music. Like most generative art, the outcome depends on the interactions and so the outcomes always seem to be unique.

The algorithm of Pattern Recognition relies heavily upon the movement and the space of the subjects: the dancers. The artist made the decision to use strong, harsh strobe lights that would beam lights across a stage. I thought this artistic decision was appropriate as a generative component since the light would be empathetic to the dancer’s form and movements.

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Roman Verostko is an American artist, who uses code and machinery to create meticulous flowing forms on paper. Verostko has produced works like Cyberflower VII (2000)

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using a pen attached on a point plotter powered by algorithms coded on the computer. What drew me (pun intended) to Verostko’s work is the effort he took to convert digital products into the physical ultimately creating an organic form constructed of many delicate, yet precise lines all through machinery. He first learned how to create form through algorithms with FORTRAN in 1970. He now uses elementary BASIC with DMPL to drive a Houston Instruments plotter (with inkwell pen attached) hooked up to a PC in order to translate the digital into physical. Verostko initially turned to art of the early 20th century for inspiration. He is specifically drawn to the “pure form” that artists such as Suprematist Kazimir Malevich and De Stijl artist Piet Mondrian were able to capture in their paintings. It personally makes sense to me that someone interested in algorithms to create artwork would be attracted to the simple and mathematical approach painters like Malevich and Mondrian had with their paintings. This video below demonstrates the precision and care Verostko places on his work, similar to his inspirations.