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r, the London-based, peripatetic art curator Hans Ulrich Obrist (known to all as HUO), and ask if there was anyon
ning, waiting in the lounge at JFK, I had had the bright idea to write my friend and longtime collaborator, the London-based, peripatetic art curator Hans Ulrich Obrist (known to all as HUO), and ask if there was anyone in Milan I should know. Once I was settled at the hotel, the phone began ringing and a procession
and public space; and fashion designer Miuccia Prada, who “requests your presence for tea this afternoon at Prada headquarters.” And thus, thanks to HUO, did the jet-lagged “great American visionary thinker” stumble and mumble his way through his first day in Milan, November 2011. HUO is sui generis:
It’s fun to show it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recogniti
r, the London-based, peripatetic art curator Hans Ulrich Obrist (known to all as HUO), and ask if there was anyon
ning, waiting in the lounge at JFK, I had had the bright idea to write my friend and longtime collaborator, the London-based, peripatetic art curator Hans Ulrich Obrist (known to all as HUO), and ask if there was anyone in Milan I should know. Once I was settled at the hotel, the phone began ringing and a procession
and public space; and fashion designer Miuccia Prada, who “requests your presence for tea this afternoon at Prada headquarters.” And thus, thanks to HUO, did the jet-lagged “great American visionary thinker” stumble and mumble his way through his first day in Milan, November 2011. HUO is sui generis:
It’s fun to show it an abstract painting and see what it says. But it does a pretty good job. It works using the same neural-network technology that McCulloch and Pitts imagined in 1943 and lots of us worked on in the early eighties. Back in the 1980s, people successfully did OCR—optical character recogniti
Anca Dragan, George Dyson, Peter Galison, Neil Gershenfeld, Alison Gopnik, Tom Griffiths, Danny Hillis, Caroline A. Jones, David Kaiser, Seth Lloyd, Hans Ulrich Obrist, Judea Pearl, Sandy Pentland, Steven Pinker, Venki Ramakrishnan, Stuart Russell, Jaan Tallin, Max Tegmark, Frank Wilczek, and Stephen Wolfram. Ste
Caroline A. Jones, David Kaiser, Seth Lloyd, Hans Ulrich Obrist, Judea Pearl, Sandy Pentland, Steven Pinker, Ven
ver the sessions and decided who to invite and what they should talk about. von Foerster, as Secretary, was the driving force of the project. It was McCulloch who insisted over Norbert Wiener's objections that "mind" be introduced into the mix, and for this, he recruited Gregory Bateson and Margaret Mead.
tum Computer Scientist Takes on the Cosmos. Hans Ulrich Obrist is artistic director of the Serpentine Gallery, L
and an external professor at the Santa Fe Institute. He is the author of Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos. Hans Ulrich Obrist is artistic director of the Serpentine Gallery, London, and the author of Ways of Curating and Lives of the Artists, Lives of the Architects. Judea
t its consequences are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five year
tum Computer Scientist Takes on the Cosmos. Hans Ulrich Obrist is artistic director of the Serpentine Gallery, L
and an external professor at the Santa Fe Institute. He is the author of Programming the Universe: A Quantum Computer Scientist Takes on the Cosmos. Hans Ulrich Obrist is artistic director of the Serpentine Gallery, London, and the author of Ways of Curating and Lives of the Artists, Lives of the Architects. Judea
t its consequences are intimately bound up in the idea of an impending technological singularity. His work on neuroscience and his initial support of McCulloch and Pitts adumbrated the startlingly effective deep-learning methods of the present day. Over the past decade, and particularly in the last five year
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