阿里巴巴AI模型在斯坦福閱讀測試中戰勝人類

Artificial intelligence programs built by China's e-commerce titan Alibaba scored better than humans on a Stanford University reading and comprehension test.

在斯坦福大學的一項閱讀理解測試中，由中國電商巨頭阿里巴巴開發的人工智能程序戰勝了人類。

'This is the first time that a machine has outperformed humans on such a test,' Alibaba said in a statement.

阿里巴巴在一則聲明中指出：“這是第一次機器在此類測試中比人類表現得更好。”

The test was designed by artificial intelligence experts at Stanford to measure computers' growing reading abilities.

這項測試是由斯坦福大學的人工智能專家設計的，旨在測試電腦日漸增長的閱讀能力。

Luo Si, chief scientist for natural language processing at Alibaba's AI research arm, called the milestone "a great honor," but also acknowledged that it is likely to lead to a significant number of workers losing their jobs to machines.

阿里巴巴人工智能研究機構的首席自然語言處理科學家司羅稱這次里程碑般的勝利爲“莫大榮耀”，但他也承認，這很可能會導致許多工人被機器奪去職業。

"The technology can be gradually applied to numerous applications such as customer service, museum tutorials and online responses to medical inquiries from patients, decreasing the need for human input in an unprecedented way," Si said in a statement.

司羅在一則聲明中表示：“這項技術可以慢慢被應用在衆多的功能上，諸如客服、博物館講解和回覆病人的在線醫療諮詢，並會以前所未有的方式減少對人力的投入。”

Pranav Rajpurkar, one of the Stanford researchers who developed the reading test, said in a tweet that Alibaba's feat is "a great start to 2018" for artificial intelligence.

斯坦福一位名叫普拉納夫·拉普卡的研究員參與開發了該閱讀測試。他在推特中稱，阿里巴巴的勝利爲人工智能“在2018開了個好頭”。

The deep neural network model developed by Alibaba scored 82.44 on the test, narrowly beating the 82.304 achieved by human participants.

在該測試中，由阿里巴巴開發的深度神經網絡模型得到82.44分，以微弱優勢打敗了人類參與者（82.304分）。