AlphaGo is a computer program developed by Google DeepMind that uses machine learning to play the board game Go. It uses neural networks and reinforcement learning rather than handcrafted rules, allowing it to learn from experience. This breakthrough points towards robots that can learn physical tasks autonomously. Potential applications include virtual assistants, medical diagnostics, and data analysis.

1. Google DeepMind -
AlphaGo

2. 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.”

4. Technology Behind AlphaGo
 Advanced Tree Search
 Deep Neural Networks
 Policy Network
 Value Network
 Reinforcement Learning
 Google Cloud Platform

5. 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

6. Program Applications
 Virtual Assistants
 Medical Diagnostics
 Climate Modeling
 Data Analytics
 Problem Solving

7. Discussion Questions
 What other applications can you
think of for this technology?
 How is this relevant to us as IS
developers?

8. 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