February 2021

Total Page:16

File Type:pdf, Size:1020Kb

February 2021 European Go Journal February 2021 Professional Games Collection Compiled by Artem Kachanovskyi Event 25th LG Cup, final 1 Date 2021-02-01 Black Shin Minjun (9p) White Ke Jie (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 28 26 22 14 12 10 54 20 16 6 8 84 18 2 24 82 96 92 78 98 94 80 90 62 76 40 72 44 38 46 74 64 70 58 88 50 30 42 34 68 4 32 36 52 66 56 48 60 100 86 Diagram 3 (101-150) Diagram 4 (151-184) 84 82 76 60 32 72 74 80 54 68 28 66 52 58 50 64 38 34 6 14 56 70 36 30 12 8 10 46 20 44 40 22 42 24 26 4 48 78 2 62 18 16 Event 25th LG Cup, final 2 Date 2021-02-03 Black Ke Jie (9p) White Shin Minjun (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 50 88 6 46 76 A 32 48 90 34 82 30 40 84 36 44 20 38 86 26 42 94 22 24 92 18 28 16 98 96 12 62 14 56 100 4 8 2 68 10 58 78 80 66 64 60 72 52 70 54 at A at 74 at A Diagram 3 (101-150) Diagram 4 (151-198) 70 80 B 82 30 72 68 66 28 92 78 94 84 96 60 76 6 62 64 58 56 54 52 74 8 10 4 12 14 24 16 20 44 42 32 98 2 46 18 36 86 88 A 40 50 38 48 26 90 22 at A 34 at B Event Year 2020 Korean League, round 11 Date 2021-02-04 Black Cho Hanseung (9p) White Park Junghwan (9p) Komi 6.5 Result White wins by 0.5 Diagram 1 (1-50) Diagram 2 (51-100) 16 6 94 74 78 18 24 22 68 98 100 76 14 80 38 82 84 88 92 70 90 86 96 12 66 20 10 44 46 8 2 36 50 4 62 64 58 60 54 52 30 28 34 26 42 A 56 32 72 at 40 at 34 at 48 at 34 at A Diagram 3 (101-150) Diagram 4 (151-277) 98 100 104 102 38 14 90 110 94 2 52 28 116 150 4 20 140 174 164 108 16 8 170 176 152 162 18 6 10 12 32 22 26 118 82 172 124 42 130 80 142 154 126 148 24 40 120 78 76 30 34 84 88 70 74 132 146 36 50 44 72 166 112 60 48 A 86 122 62 96 46 64 144 138 92 54 56 58 158 B 128 114 68 66 156 106 168 134 at A 136 at 160 at B Event 76th Japanese Honinbo, league Date 2021-02-04 Black Ichiriki Ryo (9p) White Shibano Toramaru (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 76 66 80 72 78 70 64 62 28 12 6 26 24 68 82 42 30 32 40 74 100 44 48 20 46 56 50 36 22 38 34 52 96 60 58 88 54 90 94 84 14 18 10 16 2 8 4 86 at 66 at 92 at 66 at 98 at 66 Diagram 3 (101-150) Diagram 4 (151-162) A 18 6 34 38 28 36 26 42 40 20 16 2 22 62 24 44 8 58 48 46 60 52 50 14 56 10 12 30 32 54 4 at A Event Year 2020 Korean League, round 11 Date 2021-02-04 Black Kang Yootaek (9p) White Shin Jinseo (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 14 6 72 16 88 8 84 100 10 62 82 94 92 12 80 76 78 18 64 60 56 90 86 70 58 68 48 54 66 98 50 28 42 30 26 46 38 44 2 32 52 4 20 40 22 36 24 34 74 96 Diagram 3 (101-150) Diagram 4 (151-158) 8 4 12 10 6 20 24 2 16 18 28 14 50 56 52 32 34 46 42 40 22 44 48 26 54 36 38 58 30 Event 25th LG Cup, final 3 Date 2021-02-04 Black Ke Jie (9p) White Shin Minjun (9p) Komi 6.5 Result White wins by 3.5 Diagram 1 (1-50) Diagram 2 (51-100) 96 100 88 66 64 60 70 56 58 62 44 30 76 68 52 46 6 2 8 48 98 84 54 90 86 92 94 50 24 28 72 74 22 16 26 40 38 34 32 36 42 10 14 12 82 80 4 18 78 20 Diagram 3 (101-150) Diagram 4 (151-302) 2 62 C 160 58 B 120 64 D 6 8 G E F 4 172 110 10 76 74 194 116 28 136 158 122 84 34 16 18 198 146 78 90 30 20 12 14 166 164 92 104 200 102 98 50 32 42 108 46 38 52 A 196 68 48 54 154 182 144 168 180 40 126 128 188 156 184 130 152 56 134 26 36 148 150 142 174 24 44 70 190 186 22 96 82 140 88 132 138 178 176 at A 60 at 54 at A 66 at 54 at A 72 at 54 at A 80 at 54 at A 86 at 54 at A 94 at 54 at A 100 at 54 at A 106 at 54 at A 112 at 54 at B 114 at C at A 118 at 54 at A 124 at 54 at B 162 at D 170 at E at F at G 192 at B 202 at Event 45th Japanese Kisei, title match #3 Date 2021-02-05 Black Kono Rin (9p) White Iyama Yuta (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 2 8 10 84 98 82 100 88 86 94 34 96 26 24 22 36 70 30 28 32 68 20 80 76 66 78 74 72 44 50 62 14 16 40 42 64 6 38 58 60 18 12 46 48 54 56 4 52 90 92 at at Diagram 3 (101-150) Diagram 4 (151-186) 34 32 52 A 44 42 28 6 12 38 86 54 48 46 22 26 50 24 84 18 40 30 62 2 56 82 70 4 76 10 8 16 78 72 14 74 80 66 36 20 68 64 at at A 58 at 52 60 at A Event Year 2020 Korean League, round 11 Date 2021-02-06 Black Park Yeonghun (9p) White Kim Jiseok (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 20 64 66 4 22 24 26 6 46 28 68 48 90 78 38 50 30 54 62 94 36 32 70 92 80 18 58 96 40 56 42 52 60 44 100 98 34 76 8 2 10 12 16 14 72 84 88 74 86 82 Diagram 3 (101-150) Diagram 4 (151-222) 84 114 92 80 102 104 72 16 82 12 86 76 100 106 14 56 110 118 94 34 18 10 30 90 98 32 50 20 58 108 88 28 22 116 38 24 26 120 52 54 42 74 36 70 2 96 66 68 40 4 8 64 44 6 78 60 46 48 62 112 at 86 at 122 at 110 Event 2nd Korean Strongest Players, league Date 2021-02-08 Black Shin Minjun (9p) White Kang Dongyun (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-98) 92 2 12 18 76 88 90 10 96 70 72 86 74 64 78 68 66 94 56 58 40 50 52 98 36 38 30 32 34 28 44 20 22 46 80 4 26 16 24 42 14 8 6 60 48 62 54 82 84 Event Year 2020 Korean League, round 12 Date 2021-02-14 Black Park Seunghwa (8p) White Shin Jinseo (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 22 14 84 100 56 16 12 10 86 2 24 20 54 62 48 80 58 60 42 18 36 26 38 34 46 40 30 44 66 28 32 50 52 70 90 88 72 6 92 64 96 68 4 8 76 74 82 78 98 94 at 26 Diagram 3 (101-150) Diagram 4 (151-234) 76 100 16 24 134 78 44 118 64 72 110 B A 54 22 112 74 14 18 70 52 28 20 46 116 26 48 30 108 80 122 66 60 62 58 124 68 10 38 40 120 86 8 6 2 34 4 56 84 12 42 36 32 88 96 130 90 92 50 94 114 132 98 102 128 106 126 82 at 68 at at A 104 at B Event 45th Japanese Kisei, title match #4 Date 2021-02-16 Black Iyama Yuta (9p) White Kono Rin (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 32 48 14 4 16 34 30 42 28 40 22 46 44 66 60 52 78 58 56 62 50 74 92 20 38 12 70 76 54 36 64 82 84 24 68 94 100 96 98 18 10 8 6 86 72 80 2 26 88 90 Diagram 3 (101-150) Diagram 4 (151-212) 108 106 64 82 100 110 38 80 112 98 104 40 56 58 102 68 28 62 60 36 30 74 34 78 84 76 32 96 88 86 94 42 90 6 92 72 4 16 18 46 70 2 66 44 48 26 8 10 12 14 24 22 54 52 20 50 Event 22nd Korean Maxim Cup, round 2 Date 2021-02-16 Black Shin Jinseo (9p) White Park Jinsol (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 48 46 2 8 10 6 44 60 54 56 52 50 98 62 66 64 96 70 58 86 88 94 92 42 80 100 90 78 40 68 76 18 28 36 72 16 38 14 32 4 74 12 30 34 82 20 22 84 24 26 at Diagram 3 (101-150) Diagram 4 (151-262) 152 136 126 60 90 B 86 40 A 22 50 46 160 44 36 38 134 132 64 34 128 66 42 32 30 48 70 28 98 12 14 16 148 68 88 102 4 76 72 18 8 138 74 142 62 124 162 96 140 92 20 6 10 54 100 56 24 52 82 84 94 144 78 2 26 108 104 150 130 146 110 106 118 58 80 112 114 116 120 at 84 122 at 116 154 at A at B 156 at at A 158 at Event Year 2020 Korean League, round 13 Date 2021-02-19 Black Shin Minjun (9p) White Byun Sangil (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 26 28 44 42 14 22 40 24 30 88 34 90 86 18 20 38 36 100 46 32 94 96 92 74 68 48 66 52 78 76 64 98 70 16 10 62 6 12 56 2 60 58 54 72 50 4 8 80 84 82 Diagram 3 (101-116) 6 8 4 16 12 2 14 10 Event 44th Korean Myeongin, winner section round 1 Date 2021-02-20 Black Park Junghwan (9p) White Kang Dongyun (9p) Komi 6.5 Result Black wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 96 94 98 34 36 78 72 90 6 2 8 80 74 92 26 38 76 70 100 28 30 32 54 66 68 64 22 62 24 18 14 12 50 52 4 10 16 42 48 88 82 20 44 40 46 86 58 84 56 60 Diagram 3 (101-150) Diagram 4 (151-177) 6 8 24 28 14 2 4 46 42 26 40 12 58 52 38 44 32 16 60 64 62 30 66 56 48 10 70 54 50 34 36 18 68 74 72 76 22 20 Event 22nd Korean Maxim Cup, round 2 Date 2021-02-22 Black Hong Seongji (9p) White Kim Jiseok (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 58 10 98 80 6 96 68 62 100 66 64 60 70 92 8 72 86 74 84 76 82 90 78 88 36 34 24 26 28 38 32 16 18 46 40 14 2 44 42 4 48 30 50 22 12 56 20 54 52 94 at Diagram 3 (101-150) Diagram 4 (151-228) 6 10 12 14 22 20 24 80 102 4 112 16 18 120 104 98 26 106 110 118 38 114 122 128 30 8 116 124 96 34 36 46 108 88 82 50 92 86 94 42 40 44 2 126 52 90 68 76 70 100 28 64 32 A 58 60 62 84 72 78 66 54 56 48 at 18 74 at A at at A Event 22nd Nongshim Cup, game 10 Date 2021-02-22 Black Iyama Yuta (9p) White Shin Jinseo (9p) Komi 6.5 Result White wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 4 96 8 98 94 92 70 84 88 58 90 42 50 100 80 86 78 82 52 76 66 56 54 22 6 28 24 74 64 72 62 68 26 40 36 60 20 2 16 30 32 46 38 34 18 10 12 48 44 14 Diagram 3 (101-150) Diagram 4 (151-192) 92 34 26 30 16 18 46 90 38 28 40 20 8 12 32 42 86 82 22 36 50 4 10 44 A 56 24 48 88 76 60 58 84 54 52 72 66 2 80 6 78 14 64 70 at 36 62 at A at 68 at A at 74 at A at Event 22nd Nongshim Cup, game 11 Date 2021-02-23 Black Shin Jinseo (9p) White Yang Dingxin (9p) Komi 6.5 Result Black wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 16 14 12 10 8 6 98 2 70 96 54 84 68 82 72 100 86 88 92 90 94 76 42 80 64 74 66 62 56 78 60 24 44 46 58 26 20 38 36 48 28 30 4 18 34 22 32 52 50 40 Diagram 3 (101-150) Diagram 4 (151-157) 52 18 6 16 4 20 2 12 8 10 14 36 22 28 24 30 26 32 38 40 54 42 50 48 46 44 34 56 at 40 Event 22nd Nongshim Cup, game 12 Date 2021-02-24 Black Shin Jinseo (9p) White Ichiriki Ryo (9p) Komi 6.5 Result Black wins by resignation Diagram 1 (1-50) Diagram 2 (51-100) 42 44 22 2 40 46 54 38 96 90 82 64 12 48 78 88 92 80 62 60 30 50 86 52 76 58 56 98 66 100 68 28 94 70 20 26 24 34 74 72 32 6 10 8 4 14 16 18 36 84 Diagram 3 (101-135)
Recommended publications
  • The Discovery of Chinese Logic Modern Chinese Philosophy
    The Discovery of Chinese Logic Modern Chinese Philosophy Edited by John Makeham, Australian National University VOLUME 1 The titles published in this series are listed at brill.nl/mcp. The Discovery of Chinese Logic By Joachim Kurtz LEIDEN • BOSTON 2011 This book is printed on acid-free paper. Library of Congress Cataloging-in-Publication Data Kurtz, Joachim. The discovery of Chinese logic / by Joachim Kurtz. p. cm. — (Modern Chinese philosophy, ISSN 1875-9386 ; v. 1) Includes bibliographical references and index. ISBN 978-90-04-17338-5 (hardback : alk. paper) 1. Logic—China—History. I. Title. II. Series. BC39.5.C47K87 2011 160.951—dc23 2011018902 ISSN 1875-9386 ISBN 978 90 04 17338 5 Copyright 2011 by Koninklijke Brill NV, Leiden, The Netherlands. Koninklijke Brill NV incorporates the imprints Brill, Global Oriental, Hotei Publishing, IDC Publishers, Martinus Nijhoff Publishers and VSP. All rights reserved. No part of this publication may be reproduced, translated, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without prior written permission from the publisher. Authorization to photocopy items for internal or personal use is granted by Koninklijke Brill NV provided that the appropriate fees are paid directly to The Copyright Clearance Center, 222 Rosewood Drive, Suite 910, Danvers, MA 01923, USA. Fees are subject to change. CONTENTS List of Illustrations ...................................................................... vii List of Tables .............................................................................
    [Show full text]
  • Heft 1/2018 93. Jahrgang
    Heft 1/2018 93. Jahrgang 1 DGoZ 1/2018 Inhalt Vorwort Seit langer Zeit hat die DGoZ mal wieder 64+4 Niederländisches Go-Werbeplakat aus den Seiten, also ihre praktisch maximale Dicke. Das 1980er Jahren ......................................Titel liegt einerseits daran, dass die Spielabendliste erst Vorwort, Inhalt ...............................................2 in dieser Ausgabe abgedruckt ist und allein schon Nachrichten ........................................... 2–6 7,5 Seiten lang ist, andererseits an der Fülle von Ausschreibung: DJGM ............................... 7 eingesendeten Berichten, die nur schwer hätten auf Turnierberichte .......................................... 8 spätere Ausgaben verschoben werden können – oder Lee Hajin: Zulassungsgespräch ................... 9 dies schon wurden. Viele lesenswerte Artikel! EGC-2018-Helfersuche ......................10–11 Mit dem Jubiläums-Kidocup wirft ein großes Ein Go-Kongress im Januar? ............... 12–13 Go-Ereignis seinen Schatten voraus, was auch an 28. Internationales Paar -Go-Turnier ........ 14 der DGoZ nicht spurlos vorbei geht: Neben einer Hwang Inseongs Winter-Go-Camp .... 15–16 Ankündigung im Nachrichtenteil hat Yoon Young Interview mit Hwang Inseong ............ 16–17 Das Seidenstraßenturnier .................... 18–19 Sun zwei Partien unserer Kidocup-Gäste Lee Chang- Die EGF Academy .............................. 20–21 ho 9p und Choi Jeong 9p kommentiert. Spannend! Anfängerprobleme ..............................22–23 Besonders hinweisen möchte ich noch auf den Hil-
    [Show full text]
  • (CMPUT) 455 Search, Knowledge, and Simulations
    Computing Science (CMPUT) 455 Search, Knowledge, and Simulations James Wright Department of Computing Science University of Alberta [email protected] Winter 2021 1 455 Today - Lecture 22 • AlphaGo - overview and early versions • Coursework • Work on Assignment 4 • Reading: AlphaGo Zero paper 2 AlphaGo Introduction • High-level overview • History of DeepMind and AlphaGo • AlphaGo components and versions • Performance measurements • Games against humans • Impact, limitations, other applications, future 3 About DeepMind • Founded 2010 as a startup company • Bought by Google in 2014 • Based in London, UK, Edmonton (from 2017), Montreal, Paris • Expertise in Reinforcement Learning, deep learning and search 4 DeepMind and AlphaGo • A DeepMind team developed AlphaGo 2014-17 • Result: Massive advance in playing strength of Go programs • Before AlphaGo: programs about 3 levels below best humans • AlphaGo/Alpha Zero: far surpassed human skill in Go • Now: AlphaGo is retired • Now: Many other super-strong programs, including open source Image source: • https://www.nature.com All are based on AlphaGo, Alpha Zero ideas 5 DeepMind and UAlberta • UAlberta has deep connections • Faculty who work part-time or on leave at DeepMind • Rich Sutton, Michael Bowling, Patrick Pilarski, Csaba Szepesvari (all part time) • Many of our former students and postdocs work at DeepMind • David Silver - UofA PhD, designer of AlphaGo, lead of the DeepMind RL and AlphaGo teams • Aja Huang - UofA postdoc, main AlphaGo programmer • Many from the computer Poker group
    [Show full text]
  • Computer Wins Second GAME Against Chinese GO Champion
    TECHNOLOGY SATURDAY, MAY 27, 2017 Samsung investigating Galaxy S8 ‘iris hack’ SEOUL: Samsung Electronics is investigating claims by a German hacking group that it fooled the iris recognition system of the new flagship Galaxy S8 device, the firm said yesterday. The launch of the Galaxy S8 was a key step for the world’s largest smartphone maker as it sought to move on from last year’s humiliating withdrawal of the fire-prone Galaxy Note 7s, which hammered the firm’s once-stellar reputation. But a video posted by the Chaos Computer Club (CCC), a German hacking group founded in 1981, shows the Galaxy S8 being unlocked using a printed photo of the owner’s eye covered with a contact lens to replicate the curvature of a real eyeball. “A high- resolution picture from the internet is sufficient to cap- ture an iris,” CCC spokesman Dirk Engling said, adding: “Ironically, we got the best results with laser printers made by Samsung.” A Samsung spokeswoman said it was aware of the report and was investigating. The iris scanning technolo- gy was “developed through rigorous testing”, the firm said in a statement as it sought to reassure customers. “If there is a potential vulnerability or the advent of a new method that challenges our efforts to ensure security at WUZHEN: Chinese Go player Ke Jie, left, looks at the board as a person makes a move on behalf of Google’s artificial any time, we will respond as quickly as possible to resolve intelligence program, AlphaGo, during a game of Go at the Future of Go Summit in Wuzhen in eastern China’s Zhejiang the issue.” Samsung’s hopes of competing against archri- Province.
    [Show full text]
  • Reinforcement Learning and Video Games Arxiv:1909.04751V1 [Cs.LG]
    University of Sheffield Reinforcement Learning and Video Games Yue Zheng Supervisor: Prof. Eleni Vasilaki A report submitted in partial fulfilment of the requirements for the degree of MSc Data Analytics in Computer Science in the arXiv:1909.04751v1 [cs.LG] 10 Sep 2019 Department of Computer Science September 12, 2019 i Declaration All sentences or passages quoted in this document from other people's work have been specif- ically acknowledged by clear cross-referencing to author, work and page(s). Any illustrations that are not the work of the author of this report have been used with the explicit permis- sion of the originator and are specifically acknowledged. I understand that failure to do this amounts to plagiarism and will be considered grounds for failure. Name: Yue Zheng Abstract Reinforcement learning has exceeded human-level performance in game playing AI with deep learning methods according to the experiments from DeepMind on Go and Atari games. Deep learning solves high dimension input problems which stop the development of reinforcement for many years. This study uses both two techniques to create several agents with different algorithms that successfully learn to play T-rex Runner. Deep Q network algorithm and three types of improvements are implemented to train the agent. The results from some of them are far from satisfactory but others are better than human experts. Batch normalization is a method to solve internal covariate shift problems in deep neural network. The positive influence of this on reinforcement learning has also been proved in this study. ii Acknowledgement I would like to express many thanks to my supervisor, Prof.
    [Show full text]
  • AI Beats Go Master, but Google Still Can't Come To
    AI beats Go master, but Google still can’t Come to China 24 May 2017 at 18:56 Demis Hassabis, co-founder of Google's artificial intelligence (AI) startup DeepMind speaks during the AI forum of the Future of Go summit at Wuzhen internet international conference and exhibition centre in Wuzhen, China's Zhejiang province, 24 May 2017. (EPA photo) BEIJING -- A Google artificial intelligence programme defeated a Chinese grand master at the ancient board game Go on Tuesday, a major feather in the cap for the firm's AI ambitions as it looks to woo Beijing to gain re-entry into the country. In the first of three planned games in the eastern water town of Wuzhen, the AlphaGo program held off China's world number one Ke Jie in front of Chinese officials and Google parent Alphabet's chief executive Eric Schmidt. The victory over the world's top player - which many thought would take decades to achieve - underlines the potential of artificial intelligence to take on humans at complex tasks. Wooing Beijing may be less simple. The game streamed live on Google-owned YouTube, while executives from the DeepMind unit that developed the programme sent out updates live on Twitter. Both are blocked by China, as is Google search. Google pulled its search engine from China seven years ago after it refused to self-censor internet searches, a requirement of Beijing. Since then it has been inaccessible behind the country's nationwide firewall. The ceremonial game - the second time AlphaGo has gone head-to-head with a master Go player in a public showdown - represents a major bridge-building exercise for Google in China, following a charm offensive in recent years.
    [Show full text]
  • Google's Alphago Retires on Top After Humbling World No. 1 27 May 2017
    Google's AlphaGo retires on top after humbling world No. 1 27 May 2017 Technologies, the London-based AI company that developed AlphaGo and which Google acquired in 2014. In a blog post, DeepMind founder Demis Hassabis said AlphaGo's developers will turn to "the next set of grand challenges, developing advanced general algorithms that could one day help scientists as they tackle some of our most complex problems". These could include "finding new cures for diseases, dramatically reducing energy consumption, or inventing revolutionary new materials," he said. "If AI systems prove they are able to unearth AlphaGo defeated brash 19-year-old world number one Ke Jie of China on Saturday to sweep a three-game significant new knowledge and strategies in these series that was closely watched as a measure of how far domains too, the breakthroughs could be truly artificial intelligence (AI) has come remarkable. We can't wait to see what comes next." Go involves two players laying black and white stones on a grid, trying to capture the most territory. The Google-owned computer algorithm AlphaGo is Invented nearly 3,000 years ago in China, it is retiring from playing humans in the ancient played worldwide but most popular in East Asia. Chinese game of Go after roundly defeating the world's top player this week, its developer said Top players have been mesmerised by AlphaGo, Saturday. describing its play as groundbreaking and opening up new ways of approaching the game. AlphaGo defeated brash 19-year-old world number one Ke Jie of China on Saturday to sweep a three- Likewise, AlphaGo's feats have fuelled visions of AI game series that was closely watched as a that can not only perform pre-programmed tasks, measure of how far artificial intelligence (AI) has but help humanity look at complex scientific, come.
    [Show full text]
  • Heft 1/2020 95. Jahrgang
    Heft 1/2020 95. Jahrgang 1 DGoZ 1/2020 Inhalt / Vorwort Inhalt Vorwort Das Besondere an dieser Ausgabe ist aus meiner Sicht Go zen 2 (von Alizée Chabin) ................ Titel das Coverbild mit dem wunderschönen Aquarell von Vorwort, Inhalt, Retten und Fangen ...............2 Alizée Chabin, das den Titel „Go zen 2“ trägt. Wie Nachrichten .............................................2–3 dieser Titel vermuten lässt, hat Alizée noch weitere Turnierberichte ........................................3–7 Aquarelle unter dem Titel „Go zen“ gemalt, die Versuch über eine Einführungsstunde ....8–11 im Web unter kalyptane.blogspot.com bewundert Haiga .........................................................12 werden können. Viele Leser werden sicher die Partie erkennen, die Alizée für ihr Bild ausgewählt Parks „Cool Move“ ..............................13–14 hat. Oder nicht? Versucht sonst, es bis zur nächsten Das Fundstück 1 ........................................13 DGoZ-Ausgabe herauszufinden, dann werde ich das Mein Leben in der Go-Schule 1 ...........15–17 Rätsel im Vorwort auflösen … Grundkurs Go 3/12 .............................18–21 Wenig erfreulich ist die Entwicklung, die kurz Probleme für Einsteiger ........................22–23 vor Drucklegung dieser Ausgabe einsetzte: Auf- Kinderseite(n) ......................................24–25 grund der Ausbreitung von Covid19 kommt das Yoon Young Sun kommentiert (49) ......26–33 gesellschaftliche Leben auch in Europa langsam zum kompletten Stillstand, um die exponentiell Impressum .................................................33
    [Show full text]
  • (Link to ​Korean Version​) Thirdparty Comments
    English version Korean version (link to Korean version) ​ ​ ​ Thirdparty comments ­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­­ FINAL VERSION(PLEASE LET EMILY OR LOIS KNOW FOR FURTHER CHANGE) Release: 9am GMT Monday 22nd February English version Details announced for Google DeepMind Challenge Match Landmark five­match tournament between the Grand Master­defeating Go computer program, AlphaGo, and best human player of the last decade, Lee Sedol, will be held from March 9 to March 15 at the Four Seasons Hotel Seoul. February 22, 2016 (Seoul, South Korea) — Following breakthrough research on AlphaGo, the first ​ ​ ​ computer program to beat a professional human Go player, Google DeepMind has announced details of the ultimate challenge to play the legendary Lee Sedol — the top Go player in the world over the past ​ ​ decade. AlphaGo will play Lee Sedol in a five­game challenge match to be held from Wednesday, March 9 to Tuesday, March 15 in Seoul, South Korea. The games will be even (no handicap), with $1 million USD in prize money for the winner. If AlphaGo wins, the prize money will be donated to UNICEF, STEM and Go charities. Regarded as the outstanding grand challenge for artificial intelligence, Go has been viewed as one of ​ ​ the hardest games for computers to master due to its sheer complexity which makes brute­force exhaustive search intractable (for example there are more possible board configurations than the number of atoms in the universe). DeepMind released details of the breakthrough in a paper published in the scientific journal Nature last month. ​ ​ The matches will be held at the Four Seasons Hotel Seoul, starting at 1pm local time (4am GMT; day ​ ​ before 11pm ET, 8pm PT) on the following days: 1.
    [Show full text]
  • The Game Is Not Over Yet—Go in the Post-Alphago Era
    philosophies Article The Game Is Not over Yet—Go in the Post-AlphaGo Era Attila Egri-Nagy 1,* and Antti Törmänen 2 1 Department of Mathematics and Natural Sciences, Akita International University, Yuwa, Akita City 010-1292, Japan 2 Nihon Ki-In—Japan Go Association, 7-2 Gobancho, Chiyoda City, Tokyo 102-0076, Japan; [email protected] * Correspondence: [email protected] Received: 1 October 2020; Accepted: 10 November 2020; Published: 13 November 2020 Abstract: The game of Go was the last great challenge for artificial intelligence in abstract board games. AlphaGo was the first system to reach supremacy, and subsequent implementations further improved the state of the art. As in chess, the fall of the human world champion did not lead to the end of the game. Now, we have renewed interest in the game due to new questions that emerged in this development. How far are we from perfect play? Can humans catch up? How compressible is Go knowledge? What is the computational complexity of a perfect player? How much energy is really needed to play the game optimally? Here, we investigate these and related questions with respect to the special properties of Go (meaningful draws and extreme combinatorial complexity). Since traditional board games have an important role in human culture, our analysis is relevant in a broader context. What happens in the game world could forecast our relationship with AI entities, their explainability, and usefulness. Keywords: game of Go; artificial intelligence; deep learning; neural networks; combinatorics; complexity 1. Introduction Humans have been playing the game of Go for thousands of years, and will continue to play it for long time, since it remains entertaining and educational.
    [Show full text]
  • A Machine Learning Playing GO
    A Machine Learning playing GO TUM Data Innovation Lab Sponsored by: Lehrstuhl für Geometrie und Visualisierung Mentor: M.Sc. Bernhard Werner TUM-DI-LAB Coordinator & Project Manager: Dr. Ricardo Acevedo Cabra Head of TUM-DI-LAB: Prof. Dr. Massimo Fornasier Nathanael Bosch, Benjamin Degenhart, Karthikeya Kaushik, Yushan Liu, Benedikt Mairhörmann, Stefan Peidli, Faruk Toy, Patrick Wilson 2016: AlphaGo vs. Lee Sedol www.newscientist.com/article/2079871-im-in-shock-how-an-ai-beat-the-worlds-best-human-at-go/ 2014: “May take another ten years or so” www.wired.com/2014/05/the-world-of-computer-go/ Complexity of Go compared to Chess 10100 = 10,000,000,000,000,000,000,000,000,000,000,000,000,000,00 0,000,000,000,000,000,000,000,000,000,000,000,000,000,000, 000,000,000,000,000. https://research.googleblog.com/2016/01/alphago-mastering-ancient-game-of-go.htm http://scienceblogs.com/startswithabang/2011/11/14/found-the-first-atoms-in-the-u Outline ● Go & Computer Go ● Our Project ● Neural Networks ● Different Approaches & Results ● Learning from AI Go & Computer Go What is Go ● Go is an abstract strategy board game for two players, in which the aim is to surround more territory than the opponent. ● Origin: China ~4000 years ago ● Among the most played games in the world ● Top-level international players can become millionaires Images from en.wikipedia.org/wiki/Go_(game) Quotes “The rules of go are so elegant, organic, and rigorously logical that if intelligent life forms exist elsewhere in the universe, they almost certainly play go”.
    [Show full text]
  • SKU Title Subtitle Author Publisher Available Price Sg0001 Ss Zhou Understanding Pro Games Yuan Zhou Slate & Shell 4/11/2011
    SKU Title Subtitle Author Publisher Available Price sg0001_ss_zhou Understanding Pro Games Yuan Zhou Slate & Shell 4/11/2011 $4.99 sg0002_ss_fair Go Seigen's Ten-Game Matches John Fairbairn Slate & Shell 4/11/2011 $4.99 sg0003_nm_ddk Double Digit Kyu Games Neil Moffatt Learn Go Press 4/11/2011 $4.99 sg0004_hi_hane Creating a Thick and Strong Game Naoki Hane Hinoki Press 4/11/2011 $8.99 sg0005_hi_riss Catching Scent of Victory O Rissei Hinoki Press 4/11/2011 $9.99 sg0006_ki_invin Invincible The Games of Shusaku John Power Kiseido 4/27/2012 $19.99 sg0007_ki_intro Go: A Complete Introduction Cho Chikun Kiseido 4/11/2011 $4.99 sg0008_ki_basic Basic Techniques of Go Haruyama & Nagahara Kiseido 4/11/2011 $8.99 sg0009_hi_yama Breakthrough Attacking Power Keigo Yamashita Hinoki Press 4/11/2011 $8.99 sg0010_ki_shuko The Games of Fujisawa Shuko John Power Kiseido 12/22/2011 $14.99 sg0011_mr_san Patterns of the Sanrensei Michael Redmond Nine Dan Press 5/31/2011 $12.99 sg0012_ss_not How Not to Play Go Yuan Zhou Slate & Shell 5/31/2011 $4.99 sg0013_hi_yoda Vital Points and Skillful Finesse for Sabaki Yoda Norimoto Hinoki Press 7/30/2011 $7.99 sg0014_hi_tom1 Shuko - The Only Move Volume 1: Joseki / Fuseki Collection Fujisawa Shuko Hinoki Press 7/30/2011 $9.99 sg0015_hi_tom2 Shuko - The Only Move Volume 2: Middlegame Fighting CollectionFujisawa Shuko Hinoki Press 7/30/2011 $9.99 sg0016_ki_mod1 Modern Master Games, Vol. 1 The Dawn of Tournament Go van Zeijst / Bozulich Kiseido 9/7/2011 $11.99 sg0017_jk_lpg1 Learn to Play Go A Step-By-Step Guide to the
    [Show full text]