ARITHMETIC PHENOMENA
"The evolution of every living organism is influenced by its environment. Different species overcome their unique deficiencies and mutate in order to thrive within their surroundings. As humans creating art, we are also constantly shifting to adapt and thrive within our environment.
In the new era of generative art, the digital recreation of natural phenomena requires a process of creative evolution. This exhibition brings together artists who have adapted to their changing environments by using code to create unique art pieces that reinterpret natural processes.
These artists create algorithms that evolve based on the environment, and take inspiration from the organic growth and computational biological processes happening around them in nature. By responding to and reinterpreting their surroundings, these artists create a new path to transformation and break the boundaries of what was previously considered possible. In nature, time is a factor shaping what an environment can become or thrive towards in the future. Similarly, these artworks take shape over time as they move towards their final form.
Each of the works in the exhibition reflects a unique approach to the mathematical and generative evolution of art, creativity and nature, while also revealing the artist’s particular affection for their environment."
Jinyao Lin Blooming, 2022
Blooming is a generative art work which is created by p5js and openCV. The work simulates the lush growth of plants, as leaf shape evolves, to form a dynamic, vivid and organic scene. It is finding the balance between chaos and order, to present the life force behind the mystery of everything in nature.
Pierre Casadebaig Conflated Conflent, 2022
My work on landscapes strives to balance an iconic representation of astronomy data (also seen on the cover of Joy Division Unknown Pleasures) and the meticulous Meridian series by Matt Deslauriers. For this particular piece, I worked around the data-to-ink ratio idea from data visualisation, a quick way to say that you should avoid using too much ink if it does not represent information (e.g. fillings, effects). In this case, sticking to lines to represent a landscape, I was curious how much data you can afford to drop while keeping a realistic representation.
I aimed to emulate etching drawings with code, starting from a chunk of data representing terrain elevation over a 50 x 50 km region of the Pyrénées (the broad Conflent region) and successively altering this dataset by adding noise and discarding information as a function of various attributes (elevation, slope, distance). Finally, this representation was cut into vertical bands, whose widths were empirically chosen (~ 3 km) to avoid too strong discontinuities. Between all these altering processes, a bit less than 2 percent of the initial topographical information is represented in this piece.
Pablo Alpe i.m.a.gen, 2022 5 unique artworks
This collection is based on the sensations and thoughts I have when witnessing the dispersion of sunlight in the atmosphere, the shades on the cliffs, or the generative meditation and movement of the sunlight on the sea. Collection created using code and AI. I create several sketches using different code based techniques that represent feelings I have when in contact with nature. Once I have enough ideas and sketches that represent my feelings I share and discuss everything with different AIs until we understand each other and agree on how to simulate specific scenarios. The result is then optimised using code based techniques to reinforce the concept after an intense meditation.
Melissa Wiederrcht Take Root, 2022 10 unique artworks
Take Root is a generative artwork depicting the beauty and fragility of a seedling just as it has emerged from the ground, in the rain.
“It represents to me my own ongoing flourishing as an artist and the vulnerability, excitement, and pure potential therein. While the aesthetics, coloring, style, and content of the piece are highly intentional… a certain amount of randomness has been incorporated, representing the unpredictability of the environment that we (and nature) must contend with as we grow, and how it shapes us.”
The artwork is generated in pure code using Javascript and a GLSL shader, aiming to mimic a photograph of a real seedling, using only (thousands of) ellipses and (a few) blurs.
Curated by Phenomena.eth @ verse.works
Kira0 Under the Rainbow Bridge, 2022
This project is a part of the generative algorithm created over the months that catches the nature in between realism and simplified forms. The inspiration for the artwork comes from the untouched and undiscovered bays of the Mediterranean sea. The piece contains all the possible colours in nature waiting to be unveiled. As Schrödinger suggests in his quantum superposition experiments, it both exists and does not exist until someone identifies it somewhere "under the rainbow bridge".
Ryan Bell Neptune Rising, 2022 1 of 1
Before modern science and meteorology, people once believed that Neptune, god of waters and seas was responsible for the terrible storms that sailors fought at sea. Over the centuries, a feedback loop toward greater technology and higher energy usage has transformed man into Neptune. Now bearing the evidence that our species is both responsible for and being called upon to save the planet and all other known forms of life from irreversible drought, famine, and extinction, will mankind accept this challenge and rise to heal the environment or sit idly, distracted, and wait for its destruction?
I reckon that the appeal of generative art is to design algorithms whose emergent properties can surprise artists and audiences alike while maintaining a long-form meaning. However, I'm curious about generative art as an evolutionary process (random generation, selection, adaptation), where artists can patiently collect interesting seeds in the hope of evolving them into something new, independently of the mindset of their creation.