Tuğrul Şalcı

Turkey

Tuğrul Şalcı’s innovative work explores the intricate relationship between noise, symbiotic relations, and system development, contributing new insights into generative art creation. Tuğrul’s artistic repertoire includes generative AI applications and audio-reactive performances, demonstrating a blend of technical skill and creative vision. He is actively involved in the live coding scene, coordinating Algorave events in Istanbul; showcasing generative performances in cultural institutions and the local scene.

Working with a diverse artist collective at Algorave Istanbul, Tuğrul has coordinated with over 40 artists, hosted more than 20 events in leading institutions and underground venues, and extended their reach through over 20 workshops in museums and universities. Tuğrul Şalcı is a holder of a Master’s degree in Visual Arts and Visual Communication Design from Sabancı University, where he specialized in Generative Art and Media Theory.


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Cybernetic Flora v2

Cybernetic_Flora_v2_Tuğrul_Şalcı_Generative_art.mp4

"Cybernetic Flora," is a real-time generative AI series that explores the interconnectivity of natural and digital forms, drawing inspiration from diverse botanical sources like jellyfish, coral, and dandelions. This dynamic fusion of terrestrial and marine life forms shapes a microcosmic biosphere that feels both familiar and otherworldly, emphasizing a harmony that transcends traditional boundaries. Through Deleuze and Parnet's philosophy, the artwork becomes a "plane of immanence" where distinctions between the natural and artificial fade, revealing an interconnected realm where human and AI co-evolution unfolds. Michel Serres' idea of 'parasitic noise' further deepens the concept, highlighting disruptions as catalysts that push these digital ecosystems into new forms of existence, fostering a creative space where organic and artificial elements co-function.


The methodology behind "Cybernetic Flora" integrates L-systems—a mathematical framework used to model biological growth patterns—with Stable Diffusion, an advanced AI model for image enhancement and denoising. This combination allows the piece to simulate intricate branching and organic patterns with unprecedented clarity. By utilizing "Denoising Path Orientation," Stable Diffusion precisely refines L-system-generated structures, expanding their potential applications across fields like generative art and procedural content creation. This fusion of biological principles and AI-driven refinement enriches the artwork, transforming it into a dynamic participant in conversations about symbiosis, digital creativity, and the evolving relationship between humans and AI.

technique

generative art

format

portrait

duration

01:46

year

2024

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More from Tuğrul Şalcı

More on digital art

Generative art
Generative art refers to a way of creating artworks using an autonomous system. In digital art, these are usually generated from code and algorithms created by the artist, often with certain predefined parameters or systems. Although these parameters guide the final outcome of the work, generative art is generally a surprising way to create artworks, as the results are often unexpected and the number of possible outcomes can be infinite.
AI
AI art is a branch of generative art that uses artificial intelligence. Unlike other generative artworks, AI artworks use specific complex algorithms and models derived from machine learning. The most common methods for creating AI art today are GANs (generative adversarial networks) or proprietary prompting platforms such as ChatGPT, Sora, Midjourney, or Dall-e.
3D
3D art uses 3D software such as Blender, Cinema4D, Houdini, or video game software such as Unity to create works of art. In 3D works, artists can either arrange assets (the 'objects' in a 3D artwork or world) that they have created themselves or purchased from other creators to create elaborate environments and scenes (an approach to 3D art called 'set dressing'), or specialize in sculpting, which involves creating their own objects and assets.
Photogrammetry
Photogrammetry is a specialized 3D technique that allows 3D objects to be created from numerous photographs taken of an object or scene from multiple angles. These photos are then compiled to determine the specific positioning, shape, and dimensions of the object in space, and then converted into a 3D model. Initially developed for engineering and urban planning, photogrammetry has become a way for artists to produce extremely accurate 3D models from real-life images.
Collage
An extension of the traditional, plastic approach to collage, digital collage involves searching for and cutting out multiple images, extracting them from their original context, and recomposing them in a new arrangement to create a work of art. Artists can use their own photographs or find images on the internet.
Illustration
Digital illustrations are created using software such as Adobe Illustrator, Photoshop, or Procreate. As with drawing on paper, the artist uses a stylus to sketch a figure or object, usually on a tablet, to construct a scene or artistic universe. Unlike traditional drawing methods, digital illustration is much more forgiving, as mistakes can be easily corrected and drawn elements and objects can be easily moved around within a scene.
Video
Video artworks primarily use a recording camera, but may sometimes include additional post-processing or editing to distort, modify or add additional elements to the image. Some artists use state-of-the-art recording equipment to create macro zoom-ins or time lapses, privileging fidelity to the subject matter. Others use additional softwares to significantly modify or warp the video, creating an alternative perspective on the world that surrounds us.

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