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☂ London, UK
✉ a@alexandertaylor.org


Objects

[data, set]

2019 ()

‘[data, set]’ showcases a speculative home automation system in which the smells, lighting conditions, audio and visuals within the environment are controlled by an AI-powered system which monitors visitors to the space in real time.

2% Of Spaces You Could Possibly Encounter

2019 ()


'2% Of Spaces You Could Possibly Encounter' uses machine learning to classify an installation in real-time as visitors modify the layout of the space. Using MIT's Places database of 10 million images, a live feed is taken from the camera, ran through a neural network trained on the dataset, then filed into one of 365 spacial categories, ranging from amusement parks to operating theatres


Not Objects