Google's AlphaGo Wins 5-Game Go Match - InformationWeek
IoT
IoT
Data Management // Big Data Analytics
News
3/15/2016
03:06 PM
50%
50%
RELATED EVENTS
The Real Impact of a Data Security Breach
Aug 02, 2017
In this webcast, experts discuss the real losses associated with a breach, both in the data center ...Read More>>

Google's AlphaGo Wins 5-Game Go Match

Google's AlphaGo has beaten the world champion Go player in a five-game match, delivering a monumental victory for artificial intelligence -- and a win for human intelligence, too.

10 Ways Predictive Analytics Improves Innovation
10 Ways Predictive Analytics Improves Innovation
(Click image for larger view and slideshow.)

Google's AlphaGo scored a major victory for artificial intelligence on Monday, March 14, beating Go world champion Lee Sedol 4-1 in a five-game match.

The AlphaGo win proved that artificial intelligence not only has the potential to take into account quadrillions of potential moves, which are possible with the Chinese game Go, but it can learn from its mistakes and discover new strategies -- a characteristic of humans.

The match also showed the potential of AI to come up with "innovative solutions and interesting strategy, and that this was not a rote [memory] approach," Dave Schubmehl, research director for IDC's Content Analytics, Discovery and Cognitive Systems research, told InformationWeek in an interview.

But perhaps equally interesting is that the match demonstrated AI is not a one-way street when it comes to improved learning. Lee apparently got smarter, as well, as he played AlphaGo, beating Google's AI software in the fourth game as he became more familiar with his opponent.

Lee Sedol
(Image: Google)

Lee Sedol

(Image: Google)

Lee wasn’t the only one.

Google DeepMind, which developed AlphaGo, had hired a Go master to train the machine learning AI software. As the Go master played against AlphaGo, he said he became a better player because it opened up his mind, Schubmehl said.

"Artificial intelligence is not to replace humans, but it's a way to augment and help humans," Schubmehl said.

In the first game, Lee was in the lead for much of the game as AlphaGo made some problematic moves, before it recovered toward the close of the game to win by a narrow margin, according to a BBC report. In the second game, however, Lee characterized AlphaGo's performance as nearly flawless, while he encountered missed opportunities.

In the third game, with both competitors performing in top form, Lee ultimately gave way to pressure, according to The Verge, and lost the match. The two parties, however, continued to finish out the five-game series, with Lee winning the fourth game but ultimately losing the fifth.

Go is a game where a player could potentially make a quadrillion moves or more, making it a great testing ground for AI. AlphaGo relies on a combination of advanced tree search called Monte-Carlo and deep neural networks.

This form of technology allows AlphaGo to operate in training phases and also operational phases, Schubmehl said. AlphaGo would be able to play Go against itself and train to become a better player incrementally each time.

Create a culture where technology advances truly empower your business. Attend the Leadership Track at Interop Las Vegas, May 2-6. Register now!

In looking at future applications for AI now that the match is over, Schubmehl noted that many of the tech titans like IBM, Facebook, Apple and others already have forms of AI they are developing and that this public AI challenge will accomplish bringing more attention to AI research.

Google, for example, is already using AI for its consumer services like organizing photos automatically and is on a path to use its knowledge less for delivering search results and more for delivering real answers with AI.

IBM, meanwhile, is using its cognitive technology to become more like infrastructure technology, Schubmehl noted.

Although the AlphaGo match has concluded, it would not be surprising to see some other high-profile AI challenge again emerge to showcase advancements in the technology. It would be building on not only the Go match, but also on IBM's AI past wins in its 1997 match against a world chess champion, and on Watson's 2011 Jeopardy win against two all-time champs.

Dawn Kawamoto is an Associate Editor for Dark Reading, where she covers cybersecurity news and trends. She is an award-winning journalist who has written and edited technology, management, leadership, career, finance, and innovation stories for such publications as CNET's ... View Full Bio

Comment  | 
Print  | 
More Insights
Comments
Newest First  |  Oldest First  |  Threaded View
How Enterprises Are Attacking the IT Security Enterprise
How Enterprises Are Attacking the IT Security Enterprise
To learn more about what organizations are doing to tackle attacks and threats we surveyed a group of 300 IT and infosec professionals to find out what their biggest IT security challenges are and what they're doing to defend against today's threats. Download the report to see what they're saying.
Register for InformationWeek Newsletters
White Papers
Current Issue
IT Strategies to Conquer the Cloud
Chances are your organization is adopting cloud computing in one way or another -- or in multiple ways. Understanding the skills you need and how cloud affects IT operations and networking will help you adapt.
Video
Slideshows
Twitter Feed
InformationWeek Radio
Archived InformationWeek Radio
Join us for a roundup of the top stories on InformationWeek.com for the week of November 6, 2016. We'll be talking with the InformationWeek.com editors and correspondents who brought you the top stories of the week to get the "story behind the story."
Sponsored Live Streaming Video
Everything You've Been Told About Mobility Is Wrong
Attend this video symposium with Sean Wisdom, Global Director of Mobility Solutions, and learn about how you can harness powerful new products to mobilize your business potential.
Flash Poll