“人類棋王”對(duì)弈谷歌人工智能

“人類棋王”對(duì)弈谷歌人工智能

韓國(guó)九段頂尖中國(guó)圍棋高手李世石（Lee Se-dol）與谷歌人工智能項(xiàng)目AlphaGo展開(kāi)對(duì)決。

測(cè)試中可能遇到的詞匯和知識(shí)：

yield 屈服[ji?ld]

intuition 直覺(jué)[?ntj?'??(?)n]

mimic 模仿['m?m?k]

ultimately 最后['?lt?m?tl?]

Nature 科學(xué)雜志《自然》

robotics 機(jī)器人學(xué)[r??'b?t?ks]

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Google DeepMind takes on Go grandmaster in AI match（383 words）

By Song Jung-a in Seoul

* * *

The world champion of ancient Chinese board game Go is confident he can beat Google’s AlphaGo machine, ahead of a high-profile match that could yield a milestone for artificial intelligence.

Lee Se-dol, the South Korean who has been the top Go player in the world for the past decade, predicted he would win easily in the five-game match, which will be played over the course of five days starting on Wednesday.

“It would be a computer’s victory if it wins even one game,” Mr Lee told the Financial Times. “I believe human intuition and human senses are too advanced for artificial intelligence to catch up. I doubt how far AlphaGo can mimic such things.”

AlphaGo, developed by Demis Hassabis and colleagues at Google DeepMind in London, already beat Fan Hui, the European Go champion, by five games to zero in October — a feat that experts had predicted would take a decade.

Mr Hassabis stressed that AlphaGo has made many improvements since the October match, which was played behind closed doors with the results published in the scientific journal Nature.

“I saw the record of the match with Fan Hui and was surprised to see the level that AlphaGo has achieved, but it is not yet up to my level,” Mr Lee said. “I don’t think that five months are enough time for it to improve that much to beat me.”

DeepMind uses games as a testing ground for AI algorithms that could have real-world applications.

“We think it is very efficient to develop AI algorithms and test them in game settings,” Mr Hassabis said.

He predicted that it would still take many decades to create human-level AI but said the match will provide a chance for researchers to assess the learning algorithm’s flexibility and ability to solve complex problems that could be applied to a range of industries.

“Ultimately, we want to use this technology for more than just playing games,” he said. “What we hope to do is to apply [it] to a lot of real-world problems in the future, including healthcare?.?.?.?, household robots, robots that care for the elderly and the smart assistant on your phone.”

If Mr Lee wins, Google will pay him $1m and if he loses the company will give $1m to charity.

請(qǐng)根據(jù)你所讀到的文章內(nèi)容，完成以下自測(cè)題目：

1. Where is Lee Se-dol from?

a. South Korea

b. North Korea

c. China

d. Japan

2. How many day is there for this AI match?

a. 3

b. 7

c. 1

d. 5

3. How about the last AI match with the European Go champion Fan Hui in January?

a. Fan was only slightly ahead of AlphaGo machine.

b. Ended in a draw.

c. The machine won a landslide victory.

d. Fan won a landslide victory.

4. Which one is not include as the ultimate goal from AlphaGo’s developer?

a. healthcare

b. as a smart assistant on the phone

c. caring for the elderly

d. playing games

[1] 答案a. South Korea

解釋：Lee Se-dol(李世石)，韓國(guó)圍棋九段棋手。截至如今，他已經(jīng)獲得了14個(gè)世界慢棋個(gè)人賽冠軍和5個(gè)亞軍，以及3個(gè)世界快棋個(gè)人賽冠軍和1個(gè)亞軍。是最近10年中獲得世界第一頭銜最多的棋手。

[2] 答案d. 5

解釋：比賽有5輪，將進(jìn)行5天：3月9日、3月10日、3月12日、3月13日、3月15日。

[3] 答案c. The machine won a landslide victory.

解釋：1月谷歌人工智能AlphaGo 5:0擊敗歐洲冠軍樊輝職業(yè)二段。

[4] 答案d. playing games

解釋：AlphaGode 開(kāi)發(fā)者Demis Hassabis表示，人工智能技術(shù)的最終目標(biāo)并不是在游戲中取勝。