Beneath the Neural Waves (2019)
Project selected for the VisionarIAs international open call
digital 3D prints generated using Gan and video
How can we dream up new ecosystems? Can doing so help us understand the concept of existing always in relationship with others? Beneath the Neural Waves explores biodiversity through an attempt at creating (digitally) an aquatic ecosystem as a means of attempting to engage with the very abstract concept of relationship. These dioramas of artificial life, together with the various sculptural fragments, imagery, and text, reach out towards the complex entanglement of natural life, both with itself and others.
The choice of the aquatic, specifically the coral reef, was due to our belief that these reefs ecosystems are the perfect example of how the interconnectedness occurs in the natural world between life, no creature is the core component of the reef, rather it emerges from the interwoven whole of all the individual component species.
Deep learning allows us to take a contemporary approach to pattern extraction. It facilitates extracting three-dimensional patterns from nature and rearranging them to envision new speculative worlds. By choosing this workflow the artists faced the challenge of creating datasets. This previous work of data search reveals the extent to which the available data and the way its way of depicting marine life reflect human biases in documenting the natural world. And how a causal relationship can be established between the human gaze and what the machine will generate from it, reproducing biases that are a reflection of our way of seeing the world.
Sofia Crespo is an artist working on envisioning Artificial Life and generative lifeforms. One of her main focal points is the way organic life uses artificial mechanisms to simulate itself and evolve. This implies the idea that technologies are a biased product of the organic life that created them and not a completely separated object. On the side, she is also hugely concerned with the dynamic change in the role of the artists working with machine learning techniques, and how we can use these new technologies to connect with nature.
Berlin-based artist meditating on ecology, nature & generative arts, with a focus on giving non-human new forms of presence & life in digital space. Highly influenced by the development of new deep learning technologies, their practice orbits reshaping meditations on nature into an appreciation for the biodiversity that enriches our planet.
A particularly powerful form of machine learning involves making and using artificial neural networks (ANNs). These are large mathematical functions which take numerical inputs and also output numbers which can be interpreted as images, etc. Each ANN is a collection of nodes connected by edges in layers, with weights on the edges. Given an intelligent task, deep learning involves carefully choosing the weights by correcting them whenever the network performs the task incorrectly.