AI becomes more alien 人工智能自我挑戰(zhàn) 再創(chuàng)新高

AI becomes more alien 人工智能自我挑戰(zhàn) 再創(chuàng)新高

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谷歌棋下的 DeepMind 公司在人工智能技術(shù)方面又取得了巨大的進(jìn)步。新技術(shù)能使機(jī)器在沒有人類玩家的幫助下挑戰(zhàn)中國的圍棋游戲。請聽報道。

Last year DeepMind's AlphaGo programme took on and beat two of the world's best players of the Chinese game of Go - a feat seen as a milestone in the development of artificial intelligence. That programme was trained by first giving it vast amounts of data from amateur and professional games.

The new AlphaGo Zero began with a blank board and nothing but the rules of Go and set about playing against itself. Within three days it was so advanced that it took on the previous version, which had taken months to develop, and defeated it by a hundred games to zero.

DeepMind says that creating knowledge from first principles without learning from human expertise is an important step in developing artificial intelligence. The company's founder Demis Hassabis said this breakthrough could help in real world problems such as designing new drugs or discovering new materials.?

詞匯表 milestone?里程碑

artificial intelligence?人工智能

vast?大量的，巨大的

amateur?業(yè)余的

advanced（能力）高級的

took on?挑戰(zhàn)

defeated?擊敗了

first principles?基本原則

expertise?專門技能

breakthrough?突破

real world problems?現(xiàn)實生活中存在的問題

測驗 請聽報道并回答下列問題。

1. What did the AlphaGo programme first need to help beat the world's best players of Go?

2. True or false? The new version of AlphaGo won every game against the older version.

3. How much help did this new version of AlphaGo need to win the game of Go so quickly?

4. True or false? The company says that it will be using AlphaGo to discover new drugs?next.

答案 1. What did the AlphaGo programme first need to help beat the world's best players of Go?

Vast (very large) amounts of data from amateur and professional games.

2. True or false? The new version of AlphaGo won every game against the older version.

True. The new version was so advanced that it took on the previous version and defeated it by a hundred games to zero.

3. How much help did this new version of AlphaGo need to win the game of Go so quickly?

Not much help. The new AlphaGo Zero began with a blank board and nothing but the rules of Go.

4. True or false? The company says that it will be using AlphaGo to discover new drugs?next.

False. The company's founder Demis Hassabis said this breakthrough could – but not definitely - help in real world problems such as designing new drugs.

AI becomes more alien 人工智能自我挑戰(zhàn) 再創(chuàng)新高

?

谷歌棋下的 DeepMind 公司在人工智能技術(shù)方面又取得了巨大的進(jìn)步。新技術(shù)能使機(jī)器在沒有人類玩家的幫助下挑戰(zhàn)中國的圍棋游戲。請聽報道。

Last year DeepMind's AlphaGo programme took on and beat two of the world's best players of the Chinese game of Go - a feat seen as a milestone in the development of artificial intelligence. That programme was trained by first giving it vast amounts of data from amateur and professional games.

The new AlphaGo Zero began with a blank board and nothing but the rules of Go and set about playing against itself. Within three days it was so advanced that it took on the previous version, which had taken months to develop, and defeated it by a hundred games to zero.

DeepMind says that creating knowledge from first principles without learning from human expertise is an important step in developing artificial intelligence. The company's founder Demis Hassabis said this breakthrough could help in real world problems such as designing new drugs or discovering new materials.?

詞匯表 milestone?里程碑

artificial intelligence?人工智能

vast?大量的，巨大的

amateur?業(yè)余的

advanced（能力）高級的

took on?挑戰(zhàn)

defeated?擊敗了

first principles?基本原則

expertise?專門技能

breakthrough?突破

real world problems?現(xiàn)實生活中存在的問題

測驗 請聽報道并回答下列問題。

1. What did the AlphaGo programme first need to help beat the world's best players of Go?

2. True or false? The new version of AlphaGo won every game against the older version.

3. How much help did this new version of AlphaGo need to win the game of Go so quickly?

4. True or false? The company says that it will be using AlphaGo to discover new drugs?next.

答案 1. What did the AlphaGo programme first need to help beat the world's best players of Go?

Vast (very large) amounts of data from amateur and professional games.

2. True or false? The new version of AlphaGo won every game against the older version.

True. The new version was so advanced that it took on the previous version and defeated it by a hundred games to zero.

3. How much help did this new version of AlphaGo need to win the game of Go so quickly?

Not much help. The new AlphaGo Zero began with a blank board and nothing but the rules of Go.

4. True or false? The company says that it will be using AlphaGo to discover new drugs?next.

False. The company's founder Demis Hassabis said this breakthrough could – but not definitely - help in real world problems such as designing new drugs.