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Google DeepMind -
AlphaGo
What is AlphaGo?
 A computer program developed by Google DeepMind that
plays the board game Go
 “The most significant aspect of all this…is that AlphaGo isn’t
just an expert system, built with handcrafted rules. Instead, it
uses general machine-learning techniques how to win at Go.”
Technology Behind AlphaGo
 Advanced Tree Search
 Deep Neural Networks
 Policy Network
 Value Network
 Reinforcement Learning
 Google Cloud Platform
Advancements in AI
 “DeepMind’s techniques point the way to a future where real-
world robots can learn to perform physical tasks and respond
to their environment. It’s a natural fit for robotics.”
 AI Capabilities
 Advising and Working Alongside Humans
Program Applications
 Virtual Assistants
 Medical Diagnostics
 Climate Modeling
 Data Analytics
 Problem Solving
Discussion Questions
 What other applications can you
think of for this technology?
 How is this relevant to us as IS
developers?
References
 http://www.wired.com/2016/01/in-a-huge-breakthrough-
googles-ai-beats-a-top-player-at-the-game-of-go/
 http://www.slate.com/blogs/future_tense/2016/01/28/a_comp
uter_google_s_alphago_has_beaten_a_human_go_champio
n_what_s_next.html
 https://www.youtube.com/watch?v=g-dKXOlsf98

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Editor's Notes

  1. The implications of Google’s achievement stretch beyond the realm of games. Neural networks can be used in all sorts of settings that demand the human-like capacity to evaluate various strategies under conditions of uncertainty.