Cybathlon is a project by ETH Zurich to promote an exchange between people with disabilities, technology providers and the public in order to raise awareness of the challenges faced by people with disabilities. The goal of the Cybathlon is to promote the development of assistive technologies that are useful for everyday life.
There is a surprising similarity in the way neural networks and analogue synthesizers work: both receive signals and process them through components to generate data or sound. cellF combines these two systems.
A deep neural network opening its eyes for the first time, and trying to understand what it sees. Learning to See is an ongoing series of works that use state-of-the-art machine-learning algorithms as a means of reflecting on ourselves and how we make sense of the world.
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