The code has been copied to your clipboard. Machines equipped with artificial intelligence (AI) have performed better than human beings in a high-level test of reading comprehension. Two natural language processing tools received higher test scores than humans in recent exams. One of the tools is a product of the American software maker Microsoft. The other was created by the Chinese online seller Alibaba Group.
Microsoft and Alibaba have independently developed AI models that scored better than humans in a Stanford University reading comprehension test. This AI milestone was reached using the Stanford Question Answering Dataset (SQuAD), which consists of over 10,000 question-and-answer pairs that apply to more than 500 Wikipedia articles. Alibaba's model achieved a score of 82.44, while the submission from Microsoft Research Asia bested that with a mark of 82.65. The human score for the SQuAD test is 82.304. Although that's a slim margin to claim superior performance, it represents the first time any natural language processing (NLP) software has been able to eclipse humans on this particular benchmark.
In less than 20 years, Alibaba has become one of the top ten largest companies in the world, primarily due to its success as an online retailer. The internet has changed the way that we shop, and as such the company is pumping money into research projects that will help ensure that it can keep up with the next game-changing advance in e-commerce.
An AI program by China's Alibaba Holdings based on a deep neural network model has scored higher than humans in a reading comprehension test. As a result, bots may be developed to replace humans employed in customer service positions. Read more: Op-Ed: Alibaba's AI software beats humans at reading comprehension
Computers are built to process data, but there's a particular form of information so rich and dense in meaning that it's beyond the full comprehension of even the most advanced AI. It's also one that you and I process intuitively and deal in every day: language. Understanding the written and spoken word is a big an important challenge for computer scientists. This month, a small milestone was passed when a pair of teams from Microsoft and Alibaba independently created AI programs that can outperform humans in a reading comprehension test. As you might expect, this news resulted in a flurry of coverage.
Artificial intelligence (AI) from Alibaba and Microsoft beat the human score in a Stanford reading comprehension test, the companies announced separately on Monday. The Stanford Question Answering Dataset (SQuAD) uses a set of questions and answers about Wikipedia articles, according to our sister site CNET. Microsoft scored 82.65 and Alibaba's score was 82.44, both good for first place, but barely beat the human score of 82.304. The results, however slim the margin, suggest AI may be able to match or outperform humans in certain tasks. As the field develops, this margin will most likely increase, potentially allowing AI to be smart enough to take over certain jobs--possibly even high-level ones--and let humans focus on others.
When computer models designed by tech giants Alibaba and Microsoft this month surpassed humans for the first time in a reading-comprehension test, both companies celebrated the success as a historic milestone. Luo Si, the chief scientist for natural-language processing at Alibaba's AI research unit, struck a poetic note, saying, "Objective questions such as'what causes rain' can now be answered with high accuracy by machines." Teaching a computer to read has for decades been one of artificial intelligence's holiest grails, and the feat seemed to signal a coming future in which AI could understand words and process meaning with the same fluidity humans take for granted every day. But computers aren't there yet -- and aren't even really that close, said AI experts who reviewed the test results. Instead, the accomplishment highlights not just how far the technology has progressed, but also how far it still has to go.
Alibaba has developed an artificial intelligence model that scored better than humans in a Stanford University reading and comprehension test. Alibaba Group Holding (baba) put its deep neural network model through its paces last week, asking the AI to provide exact answers to more than 100,000 questions comprising a quiz that's considered one of the world's most authoritative machine-reading gauges. The model developed by Alibaba's Institute of Data Science of Technologies scored 82.44, edging past the 82.304 that rival humans achieved. Alibaba said it's the first time a machine has out-done a real person in such a contest. Microsoft achieved a similar feat, scoring 82.650 on the same test, but those results were finalized a day after Alibaba's, the company said.
Chinese retail giant Alibaba has developed an artificial intelligence model that's managed to outdo human participants in a reading and comprehension test designed by Stanford University. The model scored 82.44, whereas humans recorded a score of 82.304. The Stanford Question Answering Dataset is a set of 10,000 questions pertaining to some 500 Wikipedia articles. The answer to each question is a particular span of text from the corresponding piece of writing. Alibaba claims that its accomplishment is the first time that humans have been outmatched on this particular test, according to a report from Bloomberg.
Chinese artificial intelligence is now capable of outperforming humans in reading comprehension. A neural network model created by Chinese e-commerce giant Alibaba beat its flesh-and-blood competition on a 100,000-question Stanford University test that's considered the world's top measure of machine reading. The model, developed by Alibaba's Institute of Data Science of Technologies, scored 82.44, while humans scored a 82.304. Microsoft's artificial intelligence also beat humans, scoring 82.65 on the exam. But its results came in a day after Alibaba's, meaning China holds the title as first country to create automation that outranks humans in written language comprehension.