• Home
  • About Us
  • Contact Us
  • Privacy Policy
  • Special Offers
Business Intelligence Info
  • Business Intelligence
    • BI News and Info
    • Big Data
    • Mobile and Cloud
    • Self-Service BI
  • CRM
    • CRM News and Info
    • InfusionSoft
    • Microsoft Dynamics CRM
    • NetSuite
    • OnContact
    • Salesforce
    • Workbooks
  • Data Mining
    • Pentaho
    • Sisense
    • Tableau
    • TIBCO Spotfire
  • Data Warehousing
    • DWH News and Info
    • IBM DB2
    • Microsoft SQL Server
    • Oracle
    • Teradata
  • Predictive Analytics
    • FICO
    • KNIME
    • Mathematica
    • Matlab
    • Minitab
    • RapidMiner
    • Revolution
    • SAP
    • SAS/SPSS
  • Humor

Go board game champion Lee Sedol finally beats Google’s AI

March 13, 2016   Big Data

SEOUL (by Se Young Lee, Reuters) – South Korean Lee Sedol won his first match against a computer program developed by a Google subsidiary on Sunday in the ancient board game Go, denying a clean sweep for the artificial intelligence in a five-match series.

Lee, one of the world’s top players and a holder of 18 international titles, recovered from three consecutive losses against the AlphaGo program developed by DeepMind.

“This win is invaluable and I would not trade it for anything else in the world,” a jubilant Lee told reporters after the match, thanking fans for their support.

The 33-year-old professional player has admitted to underestimating AlphaGo’s skills but also said the program was not perfect, asking supporters to keep watching the contest.

DeepMind founder Demis Hassabis told reporters the loss was a valuable learning tool and would help identify weaknesses in the program that his team needed to address.

“It’s a real testament to Mr Lee’s incredible fighting spirit and he was able to play so brilliantly today after three defeats,” Hassabis said.

Go, most popular in countries such as China, South Korea and Japan, involves two contestants moving black and white stones on a square grid, with the aim of seizing the most territory.

Experts did not expect an artificial intelligence program to beat a human professional for at least a decade, until AlphaGo beat a European champion player last year. Lee was considered a much more formidable opponent, however.

Google executives say Go offers too many possible moves for a machine to win simply through brute-force calculations, unlike chess, in which IBM’s Deep Blue famously beat former world champion Garry Kasparov in 1997.

Instead, they said, AlphaGo has sought to approximate human intuition, by studying old matches and using simulated games to hone itself independently.

The fifth and final match is scheduled for Tuesday.

Get more stories like this:  twitter Go board game champion Lee Sedol finally beats Google’s AI  facebook Go board game champion Lee Sedol finally beats Google’s AI

Let’s block ads! (Why?)

Big Data – VentureBeat

beats, Board, champion, Finally, Game, Google's, Sedol
  • Recent Posts

    • WHEN IDEOLOGY TRUMPS TRUTH
    • New Customer Experience Needs and Commerce Trends for 2021
    • A data transformation problem in SQL and Scala: Dovetailing declarative solutions
    • George Wallace Joins Laverne Cox For Comedy Titled ‘Clean Slate’
    • How Microsoft Azure DevOps and Dynamics 365 CRM Work Together to Improve Service Responsiveness
  • Categories

  • Archives

    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • March 2020
    • February 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    • December 2016
    • November 2016
    • October 2016
    • September 2016
    • August 2016
    • July 2016
    • June 2016
    • May 2016
    • April 2016
    • March 2016
    • February 2016
    • January 2016
    • December 2015
    • November 2015
    • October 2015
    • September 2015
    • August 2015
    • July 2015
    • June 2015
    • May 2015
    • April 2015
    • March 2015
    • February 2015
    • January 2015
    • December 2014
    • November 2014
© 2021 Business Intelligence Info
Power BI Training | G Com Solutions Limited