Alibaba's natural language processing (NLP) neural network scored better than average humans in a Stanford University reading and comprehension test. This is the first known instance of NLP performing better than humans and perhaps a harbinger for higher quality search, voice recognition, translation, and chatbots in the future.
Alibaba has developed an artificial intelligence model that scored better than humans in a Stanford University reading and comprehension test. Alibaba Group Holding Ltd. 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.
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