Three Artists using AI to Know About
Artists are creating works of art made by code, machine learning and neural networks. See who is making waves in this field of art mixed with technology.
Crespo is an artist with a interest in biology. Her works focus on organic matter that is interpreted by AI to evolve and transform into new creations. In her series ‘Neural Zoo’, Crespo takes existing forms in nature and rearranges them into new novel forms. She describes her work as stimulating because the brain recognizes certain features and colors but also realizes that these elements don't belong together. On her website She explains that process as “starting from the level of our known reality, we could ultimately be digitizing cognitive processes and utilizing them to feed new inputs into the biological world”. These computed images may be really cool to look at but more importantly we can learn from them.
Looking at her ‘Neural Zoo’ series is breathtaking. You see elements of life forms that are so familiar yet scrambled in a way that almost makes sense. Viewing these organic creations is really a sensory experience.
Ambrosi developed a form of computational photography that generates in depth landscape images. He uses a computer vision program developed by Google called “DeepDream”, which display the workings of Deep learning AI models. In his series “Dreamscapes” Ambrosi creates landscapes embedded with extreme detail using computational photography and AI.
He describes the “Dreamscapes” series saying,
“The underlying focus of my work is to reverse engineer the psychology behind the human experience of special places. What I mean by ‘special places’ are precise locations in our world where something very powerful happens; namely, a reaction that goes beyond the visual to also encompass a visceral and cognitive response.”
The result of the multiple layers of neural networks create an image that leaves the viewer in a trance. The detail of his work leads the eyes further and further into his ‘special places’. What the viewer sees may be a waterfall, but it is broken into many shapes and patterns that make your brain think twice about what it is seeing.
Klingemann is an artist using neural networks, code and algorithms. He is fascinated by the inner workings of a system, aesthetic theory, and human perception. He taught himself how to code and since then he has been exploring algorithms that can show autonomous creative behavior. Klingemann believes that with modern developments in machine learning and and data analysis art made by ‘machines’ will be more interesting than art made by humans.
In 2019 Klingemann created an installation of two screens connected to a wooden box called ‘Memories of Passersby I’. The piece was fully autonomous, using the neural network system to generate a never-ending stream of portraits based off a database of historical portraits. He created the AI system himself, so every portrait was unique, stemming from the machine’s self sustaining brain. His piece was one of the first AI artworks bought in a traditional auction house.