In a surprise victory, Murakawa Daisuke 8P defeated Iyama Yuta 9P on December 16 to win the 62nd Oza. The Oza is Murakawa’s first major title. This is the first time a player from the Kansai Kiin has won the Oza since Hashimoto Shoji 9P did so 33 years ago in 1981. The final game was played in Toba, Mie Prefecture, Japan. The upset attracted a lot of attention in Japan, because former Oza Iyama Yuta currently dominates the domestic Japanese go scene.
- excerpted from Go Game Guru; click here for the full report, including game records.
A new go school in Singapore welcomes students from the United States. The Go Academy offers a wide range of classes, from a 1-day introduction to kyu and dan intensive camps, reports Director Daniel Chan. More info available on Facebook.
“It’s interesting to read about the work of University of Edinburgh to use machine learning to improve the level of playing in computers, (Scottish Neural Network Takes Computer Go to Next Level 12/16/2014 EJ)” writes Nin Lei, Distinguished Engineer and CTO, Analytics and Big Data, STG IBM Systems and Technology Group. “However, the title in their article creates an impression that their research is creating a program that can beat the best human players. If their probability of guessing their next move is only 44%, then their chance of guessing it wrong is 56%. In a sequence of 10 moves, the chance of getting the complete sequence correctly is 0.56 ** 10, which is a very small number.” Noting that checkers “has been solved via machine learning,” Lei says that “it appears it is promising for go as well.” But because machine learning predicates that there is a pattern in the underlying data set, Lei warns that “it could be so complex that machine learning can only attain a certain level of accuracy. It seems to me a program needs to have very high level of accuracy before it can play a good game at strong human level.” Lei also says that “Since machine learning is based on pattern recognition, I wonder if a professional can trick the program by using moves that may not be optimally locally but will create patterns that the program has not seen before. I applaud the work they are doing,” Lei concludes. “It is innovative by using a different approach than the existing strong computer programs. It will be interesting to find out if someday they can come up with an algorithm that can improve the accuracy significantly.”