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Learning to See Series (2017-) – Memo Akten

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For more information, please see: – This 20min presentation: 2019 – Part 3: “We see things not as they are, but as we are”. – A paper on this work I presented at SIGGraph 2019 – For a much deeper conceptual and technical analysis, please see Chapter 5 of my PhD Thesis. Learning to See is an ongoing collection of works that use machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside world, but is a reconstruction based on our expectations and prior beliefs. An artificial neural network looks out onto the world, and tries to make sense of what it is seeing. But it can only see through the filter of what it already knows. Just like us. Because we too, see things not as they are, but as we are. In this context, the term seeing, refers to both the low level perceptual and phenomenological experience of vision, as well as the higher level cognitive act of making meaning, and construc

Learning to See Series (2017-) – Memo Akten --> Learning to See Series (2017-) For more information, please see: – This 20min presentation: 2019 – Part 3: “We see things not as they are, but as we are” . – A paper on this work I presented at SIGGraph 2019 – For a much deeper conceptual and technical analysis, please see Chapter 5 of my PhD Thesis . Learning to See is an ongoing collection of works that use machine learning algorithms to reflect on ourselves and how we make sense of the world. The picture we see in our conscious mind is not a mirror image of the outside

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