Difference between revisions of "Seeing Machines research doc."
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Not only humans perceive the world. In the digital age, machines see the world for other machines. By producing images, Artificial Intelligence (AI) is able to orientate itself in the world. Just like humans, that created the image to guide us through the universe. | Not only humans perceive the world. In the digital age, machines see the world for other machines. By producing images, Artificial Intelligence (AI) is able to orientate itself in the world. Just like humans, that created the image to guide us through the universe. | ||
Approaching ‘seeing machines’ will introduce us to a new field of algorithms that trust on photographic technologies. They reveal images purposed solely for machine-to-machine communication and which are not optimized to seen by human. I attempt to see from their perspective, curious for the opportunities in which photography could transform. By adopting their vision I want to explore in what way machine perception can expand the field of photography, open our view of external reality and our outlook of life. Can they be a legitimate voice in the discourse of photography? | Approaching ‘seeing machines’ will introduce us to a new field of algorithms that trust on photographic technologies. They reveal images purposed solely for machine-to-machine communication and which are not optimized to seen by human. I attempt to see from their perspective, curious for the opportunities in which photography could transform. By adopting their vision I want to explore in what way machine perception can expand the field of photography, open our view of external reality and our outlook of life. Can they be a legitimate voice in the discourse of photography? | ||
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Revision as of 11:16, 29 May 2018
Seeing machines
Not only humans perceive the world. In the digital age, machines see the world for other machines. By producing images, Artificial Intelligence (AI) is able to orientate itself in the world. Just like humans, that created the image to guide us through the universe.
Approaching ‘seeing machines’ will introduce us to a new field of algorithms that trust on photographic technologies. They reveal images purposed solely for machine-to-machine communication and which are not optimized to seen by human. I attempt to see from their perspective, curious for the opportunities in which photography could transform. By adopting their vision I want to explore in what way machine perception can expand the field of photography, open our view of external reality and our outlook of life. Can they be a legitimate voice in the discourse of photography?
