阿里巴巴AI模型在斯坦福阅读测试中战胜人类“bat365正版唯一官网”

本文摘要：Artificial intelligence programs built by Chinas e-commerce titan Alibaba scored better than humans on a Stanford University reading and comprehension test.在斯坦福大学的一项读者解读测试中，由中国电商巨头阿里巴巴研发的人工智能程序战胜了人类。

Artificial intelligence programs built by Chinas e-commerce titan Alibaba scored better than humans on a Stanford University reading and comprehension test.在斯坦福大学的一项读者解读测试中，由中国电商巨头阿里巴巴研发的人工智能程序战胜了人类。This is the first time that a machine has outperformed humans on such a test, Alibaba said in a statement.阿里巴巴在一则声明中认为：“这是第一次机器在此类测试中比人类展现出得更佳。”The test was designed by artificial intelligence experts at Stanford to measure computers growing reading abilities.这项测试是由斯坦福大学的人工智能专家设计的，目的测试电脑日益快速增长的读者能力。

Luo Si, chief scientist for natural language processing at Alibabas 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机构的首席自然语言处置科学家司罗称之为这次里程碑般的胜利为“莫大荣耀”，但他也否认，这很可能会造成许多工人被机器夺走职业。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.司罗在一则声明中回应：“这项技术可以渐渐被应用于在众多的功能上，诸如客服、博物馆介绍和恢复病人的在线医疗咨询，并不会以前所未有的方式增加对人力的投放。”Pranav Rajpurkar, one of the Stanford researchers who developed the reading test, said in a tweet that Alibabas feat is a great start to 2018 for artificial intelligence.斯坦福一位名为普拉纳夫·拉普卡的研究员参予研发了该读者测试。

他在推特中称之为，阿里巴巴的胜利为人工智能“在2018开了个好头”。The deep neural network model developed by Alibaba scored 82.44 on the test, narrowly beating the 82.304 achieved by human participants.在该测试中，由阿里巴巴研发的深度神经网络模型获得82.44分，以黯淡优势击败了人类参与者（82.304分）。

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