12
Total Mentions
11
Documents
694
Connected Entities
Surname reference in documents
EFTA02390500
Vj=w%3D%3D&sig=0313508c371b56080ef 626380313063d14dd826d&i id =72804=98608b45558e1d8cd548205579&uid=400687396&nid=244+125> Feels weird to root for AlphaGo - yet its victory is in=its way the greater human achievement. When AlphaGo wins it is a triumph o= humanity View on Twitte= chttps://twitter.com/
b45558e1d8cd548205579&uid=400687396&nid=244+125> Feels weird to root for AlphaGo - yet its victory is in=its way the greater human achievement. When AlphaGo wins it is a triumph o= humanity View on Twitte= chttps://twitter.com/i/redirect?url=https%3A%2F=2Ftwitter.com%2Fscottharrison%3Fcn%30ZmxleGlibGVf
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away. The IBM chess computer Deep Blue, which famously beat grandmaster Garry Kasparov in 1997, was explicitly programmed to win at the game. But AlphaGo was not preprogrammed to play Go: rather, it learned using a general- purpose algorithm that allowed it to interpret the game's patterns, in a simi
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y "Ws° • evaluations with Monte-Carlo rollouts. Our uitar-sha browsing g p loud, soft, complex, plain. Not a single track." ed coloring program AlphaGo integrates these components purpose-built software robots like those that play checkers, chess, backgammon, and Go. These are intended to show that
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:22 PM To: Jeffrey Epstein Subject: Re: Ed's talk at Davos BTW, one smart guy I met recently is Demis who runs deep minds. Have you =allowed the AlphaGo stuff? > On Apr 23, 2016, at 9:03 AM, jeffrey E. <jeevacation @gmail.com> wrote: > The body as spirit during crusades , as electric , magnetic, dev
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as his talk at MIT but it's =retty good: https://www.youtube.com/watch?v=4fjmnOQuqao 340M people watched the video of the match. Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. -
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talk at MIT but it's =retty good: > https://www.youtube.com/watch?v=4fjmnOQuqao > 340M people watched the video of the match. > Key thing is that AlphaGo is creative and intuitive. It doesn't =se calculations like Deep Blue but gets to symbolic reason through =einforced learning on neural networks. >
HOUSE_OVERSIGHT_016804_sub_001 - HOUSE_OVERSIGHT_016903
o communicate with other humans, learn from them, instruct them, and motivate them in our own native language. If our robots will all be as opaque as AlphaGo, we won’t be able to hold a meaningful conversation with them, and that would be unfortunate. We will need to retrain them whenever we make a slight
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rs relied a great deal on intuition and a feel for position, so proficiency was thought to require a particularly human kind of intelligence. But the AlphaGo program produced by DeepMind, after being trained on thousands of high-level Go games played by humans and then millions of games with itself, was ab
HOUSE_OVERSIGHT_016221_sub_001 - HOUSE_OVERSIGHT_016320
o communicate with other humans, learn from them, instruct them, and motivate them in our own native language. If our robots will all be as opaque as AlphaGo, we won’t be able to hold a meaningful conversation with them, and that would be unfortunate. We will need to retrain them whenever we make a slight
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lphago BBC NEWS 27 January 2016 "Google achieves AI 'breakthrough' by beating Go champion" --DeepMind's chief executive, Demis Hassabis, said its AlphaGo software followed a three- stage process, which began with making it analyse 30 ... http://www.bbc.com/news/technology-35420579 WIRED January 27,
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rs relied a great deal on intuition and a feel for position, so proficiency was thought to require a particularly human kind of intelligence. But the AlphaGo program produced by DeepMind, after being trained on thousands of high-level Go games played by humans and then millions of games with itself, was ab

Deep Blue
PersonPerson referenced in documents

Stephen Hawking
PersonBritish theoretical physicist, cosmologist and author (1942–2018)

Garry Kasparov
PersonRussian chess grandmaster and activist

Elon Musk
PersonBusinessman and entrepreneur (born 1971)

Jeffrey Epstein
PersonAmerican sex offender and financier (1953–2019)

John Brockman
PersonAmerican literary agent

Alan Dershowitz
PersonAmerican lawyer, author, and art collector (born 1938)

Oliver Stone
PersonAmerican film director, screenwriter, and producer (born 1946)

Cambridge University
OrganizationOrganization referenced in documents

Turing Test
OrganizationOrganization referenced in documents

Robert Gates
PersonCIA director, U.S. Secretary of Defense, and university president

Samantha Power
PersonIrish-American academic, author and diplomat
Jeopardy
OrganizationTelevision game show

Hans Ulrich Obrist
PersonPioneer of science in art, referenced in Epstein contact documents

the Royal Society
OrganizationThe Royal Society - UK national academy of sciences

Turing
PersonEnglish computer scientist (1912–1954)

Danny Hillis
PersonAmerican computer scientist (born 1956)

Claude Shannon
PersonAmerican mathematician and information theorist (1916–2001)
Clement Greenberg
PersonPerson referenced in documents

Earth
LocationThird planet from the Sun in the Solar System