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Dr. Mark Silbert
Dr. Mark Silbert

... "PPTMooresLawai" by Courtesy of Ray Kurzweil and Kurzweil Technologies, Inc. en:Image:PPTMooresLawai.jpg. Licensed under CC BY 1.0 via Wikimedia Commons http://commons.wikimedia.org/wiki/File:PPTMooresLawai.jpg#/media/File:PPTMooresLawai.jpg Dr. Mark Silbert ...
The Forthcoming Artificial Intelligence (AI) Revolution
The Forthcoming Artificial Intelligence (AI) Revolution

... against past winners”. (Best, 2016). Watson went several steps beyond Deep Blue towards AI by being able to understand spoken English and learn from his mistakes (New Yorker, 2016). However, he was still short of AlphaGo that defeated Go Champions in a game that cannot be won simply by using “brute ...
- Neapolis University
- Neapolis University

Synergies Between Symbolic and Sub
Synergies Between Symbolic and Sub

... Last sentence of the 2016 report of the One Hundred Year Study on Artificial Intelligence (Stanford University, September 2016): Although the separation of AI into subfields has enabled deep technical progress along several different fronts, synthesizing intelligence at any reasonable scale invariab ...
Artificial intelligence: can we control it?
Artificial intelligence: can we control it?

... replicate. However, the recent success of AlphaGo, a programme created by Google DeepMind, in defeating the world champion at the ancient game of Go suggests that we are moving faster than previously thought. When Superintelligence was published, the prediction was that it would take AI a decade to ...
JKB_Paper2_Technological Singularity
JKB_Paper2_Technological Singularity

... Technological singularity seems to be a theory of science ficition. A movie released in 2014, featuring Johnny Depp, tackles the idea of technological singularity, a situation in which man and robot become one. In the film, Dr. Will Caster, a renowned researcher played by Johnny Depp, is working on ...
Mastering the game of Go with deep neural networks and tree search
Mastering the game of Go with deep neural networks and tree search

... Figure 3: Monte-Carlo tree search in AlphaGo. a Each simulation traverses the tree by selecting the edge with maximum action-value Q, plus a bonus u(P ) that depends on a stored prior probability P for that edge. b The leaf node may be expanded; the new node is processed once by the policy network ...
IET Travel Award Report on the trip to AAAI-‐16 - Events
IET Travel Award Report on the trip to AAAI-‐16 - Events

... IET  Travel  Award  Report  on  the  trip  to  AAAI-­‐16   Shan  Luo,  King’s  College  London   I  really  appreciate  the  generous  support  from  the  Institution  of  Engineering  and  Technology  (IET)  for   my   trip   to   13th ...
ReinforcementLearning_part2
ReinforcementLearning_part2

... than the opponent • 19X19 grid board • playing pieces “stones“ • Turn = place a stone or pass • The game ends when both players pass ...
Evolutionary Computing, or “What Would a Computer Do?”
Evolutionary Computing, or “What Would a Computer Do?”

... Dr. David Fogel of Natural Selection, Inc. says that when considering computer performance, one standard was always “what would a human do?” and that games of skill have often played a role in this evaluation. Older AI systems were based on codified rules that emulated human behaviour. Today, Fogel ...
Artificial Intelligence Go Showdown
Artificial Intelligence Go Showdown

... combine them with new approaches that try to get the computer to develop its own intuition about how to play—to discover for itself the rules that human players understand but cannot explain. It does that using a technique called deep learning, which lets computers work out, by repeatedly applying c ...
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AlphaGo

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