LINE

    Text:AAAPrint
    Sci-tech

    Putting China's AI to the gaokao test(2)

    1
    2015-12-24 09:11Xinhua Editor: Gu Liping

    JOURNALIST'S HELPER

    As Liu addressed the audience, two big screens on each side of the stage were transferring his speech into text through a product called Iflyrec.

    For journalists present this seemed like a long-overdue innovation, but Liu said it had posed many difficulties.

    He raised the example of the smart home. If you want to control the electric appliances by voice, AI must recognize your voice by suppressing noise in the house. When you are talking with the television on, the robot must cancel the sound of the TV. If you want the air conditioner to hear you from 5 meters away, the AI must "grasp" far-field speech recognition that enables it to pick up the sound from a certain distance and from all directions.

    "Another difficulty lies in discourse understanding, which includes smoothing out the text, adding punctuation, erasing irrelevant content and understanding informal language," he says.

    As the words flowed on the screens, five stenographers competed with the machine in shorthand. After assessing a random extract of 1,000 words, the robot won with an accuracy rate of 99.29 percent, compared to 80.84 percent for the best stenographer.

    "With this technology, captions can be generated automatically on film," Liu says.

    Asked if robots might replace human reporters, Hu Yu, vice president of iFLYTEK, replies, "Rest easy - robots excel in computation and, of course, they are better compilers of data. But they cannot create stories."

    In the foreseeable future, Hu says, AI will help with simple brainwork. As for sophisticated brainwork, "we will maintain exclusive ownership."

    THINKING MACHINE

    "A father cannot lift his son because 'he' is too heavy." Can a robot tell who is "he" ?

    "This question is very easy for humans, but too hard for a robot," Hu says. To answer requires the machine to be able to comprehend the sentence.

    iFLYTEK initiated its "Hyper Brain Project" last year, with the aim of developing AI cognitive intelligence. "This cognitive revolution revolves, on the surface, around NLU, but by nature, it's cognition of the whole world, the universe and human society," Hu says.

    "A cognitive intelligence system is developed on the basis of perceptive intelligence," Hu says. "When you see the face of a cat, the concept of cat soon forms in your brain. You begin to think of its mew and how its fur feels."

    iFLYTEK has developed neural machines for collecting perceptions, such as visual and audio information. When they have enough information, it will be gathered by a Neural Thinking Machine for reasoning and making conclusions, so that we can make better decisions. The result of the decision will be expressed via a Neural Expressing Machine, forming a closed loop that contains all of a human's intelligence.

    "We don't have to copy the brain," Hu says. "Our job is to find the true principles and secrets of brain."

    Such developments inevitably raise the prospect of a Terminator-style rebellion of the machines.

    Hu says advances in AI will lead away from such fictions. "The more we learn from our brain, the better we can divide intelligence from self-consciousness, namely our emotions, good and evil. In the future, robots will be able to harness more intelligence, but not self-consciousness."

      

    Related news

    MorePhoto

    Most popular in 24h

    MoreTop news

    MoreVideo

    News
    Politics
    Business
    Society
    Culture
    Military
    Sci-tech
    Entertainment
    Sports
    Odd
    Features
    Biz
    Economy
    Travel
    Travel News
    Travel Types
    Events
    Food
    Hotel
    Bar & Club
    Architecture
    Gallery
    Photo
    CNS Photo
    Video
    Video
    Learning Chinese
    Learn About China
    Social Chinese
    Business Chinese
    Buzz Words
    Bilingual
    Resources
    ECNS Wire
    Special Coverage
    Infographics
    Voices
    LINE
    Back to top Links | About Us | Jobs | Contact Us | Privacy Policy
    Copyright ©1999-2018 Chinanews.com. All rights reserved.
    Reproduction in whole or in part without permission is prohibited.
    主站蜘蛛池模板: 金乡县| 桂东县| 和林格尔县| 博兴县| 隆化县| 江孜县| 缙云县| 吉林市| 神农架林区| 陵水| 麟游县| 左权县| 泰安市| 汨罗市| 德昌县| 托克逊县| 永年县| 察隅县| 田林县| 蓬莱市| 黑山县| 陵水| 开平市| 大庆市| 石河子市| 轮台县| 呼图壁县| 株洲县| 府谷县| 堆龙德庆县| 安顺市| 哈尔滨市| 米脂县| 怀安县| 讷河市| 南康市| 北流市| 四川省| 修文县| 佛冈县| 左贡县|