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This paper uses the concept of algorithmic efficiency to present a unified theory of intelligence. Intelligence is defined informally, formally, and computationally. Alexander Ngu introduce the concept of Dimensional complexity in algorithmic efficiency and deduce that an optimally efficient algorithm has zero Time complexity, zero Space complexity, and an infinite Dimensional complexity. This algorithm is then used to generate the number line.
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo showing: Stefanie Lindstaedt, Amanda Bennetts and Johanna Einsiedler (from left to right)
Photo: martin doersch
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
Artist Statement:
"Baptized in Algorithm" is the moment between deletion and reincarnation. It’s about swimming forward into a system that doesn’t care — not because it’s cruel, but because it’s pure logic. This tunnel doesn’t close. This water doesn’t warm. The light is not divine — it’s fluorescent.
The figure is you, stripped of name and narrative. A singular presence headed toward something unknowable. Or maybe toward nothing at all.
It’s a quiet descent into meaninglessness. Or purification. You choose.
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#MinimalDread
#ExistentialStillness
#DigitalAbyss
#CleansedBySystem
#FacelessPilgrimage
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Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
drawing on canvas with trear physics tendrils using texones creative computing framework which is based on processing
Do Algorithms Care? is a collaboration between artist Amanda Bennetts and data scientist Johanna Einsiedler. The project, realized in an interactive installation that resembles a pristine tech store, offers a critical perspective on the commercialization of personal bio data harvested by devices such as smartwatches and in healthcare industries. Through the use of the duo’s DIY smartwatches and interactive data interface, they delve into the predictive potential of personal data and machine learning for well-being, inviting viewers to reconsider their relationship with data control and privacy.
Photo: martin doersch
r2 U2 r2 Uu2 r2 u2
r2 = Move the second layer in from the right only
Uu2 = Move both of the upper layers at the same time
u2 = Move the second layer in from the top only.