Do Androids Dream of Electric Sheep?
METAMORPHOSES’ BY MISS AL SIMPSON
‘MACHINE-HEARTED’ BY IVONA TAU
SPECIESISM’ BY OBVIOUS
‘LOPE’ BY JENNI PASANEN
MEMO AKTEN
Memo is a multi-disciplinary computational artist who investigates the intersection between ecology, technology, science, and spirituality. With a passion for studying the intelligence of nature and machines, as well as the perception, consciousness, and neuroscience of human beings, Memo is a curious philomath with a broad range of interests.
‘NOOSPHERE’ BY ALEX MORDVINTSEV
“I, a universe of atoms, an atom in the universe.” – Richard P. Feynman. The Noosphere series delves into the exploration of intelligent behaviors that occur at all spatial and temporal scales of matter organization. While our understanding of cognition and intelligence is predominantly centered around humans, we often overlook the ingenuity of complex and exquisite mechanisms that operate in realms beyond our innate comprehension. Nevertheless, through scientific inquiry, we can study and comprehend these phenomena.
The Noosphere series aims to bridge this gap in our understanding by examining the diverse manifestations of intelligence from a perspective that extends beyond our human-centric viewpoint.The concept of the noosphere originates from the philosophical ideas put forth by Vladimir Vernadsky. It denotes the sphere of human thought and collective intelligence, encompassing the entirety of human knowledge, culture, and interactions. However, the Noosphere series expands upon this concept to explore intelligence in a broader sense, recognizing that intelligence is not exclusive to humans but rather permeates the natural world. Embracing the collective nature of the Noosphere entails acknowledging that our perception of self is merely an illusion resulting from the interactions among hierarchies of intelligent units pursuing their respective goals.
Is a researcher, artist, and the creative mind behind the renowned DeepDream project. Currently part of Google Research, his work revolves around the visualisation, interpretation, and understanding of Deep Neural Networks. Driven by his fascination for emergent phenomena, Alexander combines his expertise in Machine Learning, Computer Graphics, and Vision to create remarkable visual interpretations of complex systems.
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