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efta-efta00328942DOJ Data Set 9OtherFrom: John Brockman
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DOJ Data Set 9
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efta-efta00328942
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From: John Brockman
To: Jeffrey Epstein
Cc: ==l
>
Subject: Demis Hassibis - EDGE event in London in April
Date: Sun, 21 Feb 2016 23:27:20 +0000
Attachments: NATURE.pdf; Digital_intuition
Nature_News_&_Comment.pdf
JE,
Last month, I hosted a dinner in New York for Demis Hassibis, the acknowledged leading
thinker among the new wave of AI researchers exploring what has become known as "deep
learning". TI actually demanded that Danny Hillis show up because Hassibis, 35 years later,
is the next really brilliant young man. Danny did take the train from Boston. He was not
disappointed. The evening sparkled, a stunningly interesting experience. (See below for
information about Demis).
I will be in London for a week beginning April 7th. Demis, who works in London, has agreed to
do a reprise as an EDGE event while I am in town. The best dates for that evening are Thurs-
Sunday nights, Feb 7-10th. Can you join us? This time, rather than having just scientists
present, I want to focus on people who think about intelligence and learning through
different kinds of prisms, i.e. Brian Eno, Ian McEwan, Terry Gilliam, Alfonso Cuaron, Hans
Ulrich Obrist, Tom Stoppard, among others. I see this more as a dinner conversation, rather
than a talk by Demis, hopefully videotaped, unless his new corporate masters at Google shut
that down.
There's a precedent here for the dinner motif. It was in 1968 in a six-part avant garde
series at the 92nd St Y Poetry Center in NY that John Cage hosted a dinner onstage for about
8 people in front of an full house. If it is a dinner, and it's videotaped, it would be best
to limit it to a maximum of 12 people sitting around a single table. I can see a variety of
venues, all of which have attractions and also issues. Some ideas: A private dining room at a
quiet restaurant or club; the home of a philanthropic arts patron an artist's studio such as
Eno's; even the Serpentine Gallery.
We're probably better off in a full-service restaurant or the home of someone who is into
hosting big sit-down dinners. Why ideas?
Feedback, please. And I hope to see you soon.
Best,
JB
mobile
III. Pay special attention to two new EDGE pieces. Ed Boyden on optogenetics, published last
week and David Reich on ancient DNA, which is being published tomorrow. Two brilliant young
guys. So exciting!!
About Demis Hassibis
DEMIS HASSIBIS was the co-founder and CEO of DeepMind, a neuroscience-inspired AI company,
bought by Google in Jan 2014 for a reported $400 million in their largest European
acquisition to date. He is now Vice President of Engineering at Google DeepMind and leads
Google's general AI efforts.
Demis is a former child chess prodigy, who finished his A-levels two years early before
coding the multi-million selling simulation game Theme Park aged 17. Following graduation
EFTA00328942
from Cambridge University with a Double First in Computer Science he founded the pioneering
videogames company Elixir Studios producing award-winning games for Microsoft and Universal.
After a decade of experience leading successful technology startups, Demis returned to
academia to complete a PhD in cognitive neuroscience at UCL. His research connecting memory
with imagination was listed in the top ten scientific breakthroughs of 2007 by the journal,
Science. Demis is a 5-times World Games Champion, a Fellow of the Royal Society of Arts, and
the recipient of the Royal Society's Mullard Award.
LINKS/RECENT PRESS
Google Deep Mind
http://deepmind.com/
Home Page
http://demishassabis.com/
Deep Mind Publications
http://deepmind.com/publications.html
NATURE
28 January 2016
"Google AI algorithm masters ancient game of Go"
"We're pretty confident," says DeepMind co-founder Demis Hassabis. "This is a really big
result, it's huge," says Remi Coulom, a programmer in
http://www.nature.com/news/google-ai-algorithm-masters-ancient-game-of-go-1.19234
NATURE - EDITORIAL
28 January 2016
"Digital intuition"
A computer program that can outplay humans in the abstract game of Go will redefine our
relationship with machines.
http://www.nature.com/news/digital-intuition-1.192301
THE GUARDIAN
Feb 16, 2016
"The superhero of artificial intelligence: can this genius keep it in check?"
--Demis Hassabis has a modest demeanour and an unassuming countenance, but he is deadly
serious when he tells me he is on a mission to "solve intelligence, and then use that to
solve everything else". Coming from almost anyone else, the statement ...
http://www.theguardian.c0m/technology/2016/feb/16/demis-hassabis-artificial-intelligence-
deepmind-alphago
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, 2016
--In a Huge Breakthrough, Google's AI Beats a Top Player at the game of Go
http://www.wired.com/2016/01/in-a-huge-breakthrough-googles-ai-beats-a-top-player-at-the-
game-of-go/
PBS NEWS HOUR
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Jan 27, 2016
How a computer program became champion of the world's trickiest board fame
--DEMIS HASSABIS, Google DeepMind: So, our program combines lots of different techniques
together. And for the first time ever, AlphaGo, our ...
http://www.pbs.org/newshour/bb/how-a-computer-program-became-champion-of-the-worlds-
trickiest-board-game/
EFTA00328944
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5420579URL
http://deepmind.comURL
http://deepmind.com/publications.htmlURL
http://demishassabis.comURL
http://www.bbc.com/news/technology-35420579URL
http://www.nature.com/news/digital-intuition-1.192301URL
http://www.nature.com/news/google-ai-algorithm-masters-ancient-game-of-go-1.19234URL
http://www.pbs.org/newshour/bb/how-a-computer-program-became-champion-of-the-worldsURL
http://www.theguardian.c0m/technology/2016/feb/16/demis-hassabis-artificial-intelligenceURL
http://www.wired.com/2016/01/in-a-huge-breakthrough-googles-ai-beats-a-top-player-at-theRelated Documents (6)
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DOJ Data Set 9OtherUnknown
From: "Jeffrey E." <[email protected]>
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DOJ Data Set 10CorrespondenceUnknown
EFTA Document EFTA01795321
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DOJ Data Set 9OtherUnknown
From: John Brockman <~~I>
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