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人工智能真的能让内容产业迎来第二春? - SMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】

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word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">近两年人工智能概念火爆异常,资本纷纷涌入,巨头和创业公司快速布局。在消费端,似乎只有与人工智能沾边才算先进。泡沫化发展带来更多人力和资本的投入,但值得警惕的是,真伪人工智能充斥,让买单的消费者成为最终受害者。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  上海社科院互联网研究中心首席研究员李易曾表示,目前市面上高达90%的智能音箱、机器人等,都算不上人工智能。如国内一些聊天机器人项目,国外的会议秘书,先后被曝以人力辅助或替代软件,欺骗公众和投资人。前阿里巴巴B2B业务CEO 卫哲更是发文论断: 就是今天的人工智能项目当中,存在大量的&ldquo;伪人工智能&rdquo;。伪人工智能比例可能高达 90%,或者 99%!<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  不仅如此,《人民日报》及中央人民广播电台经济之声《财经天下》栏目,都曾隔空喊话,批判人工智能的伪创新,提出不要像&ldquo;炒作明星&rdquo;一样炒作人工智能&ldquo;创新&rdquo;。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px"><img width="640" height="438" style="border-top: medium none; border-right: medium none; border-bottom: medium none; border-left: medium none" alt="" src="http://www.people.com.cn/mediafile/pic/20171210/77/14652474756266385065.jpg" /><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  当前热门的内容产业面临着相同的情况。从腾讯等几大核心媒体推出的写作机器人,到360旗下快视频推出的智能探索引擎,以及百度等互联网企业在内容领域All in人工智能,真正人工智能技术正在驱动商业发展,吸引更多企业投入精力在人工智能,但同时能力夸大、概念炒作等泡沫化问题也存在。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  <strong>写作机器人:被概念夸大的技术创新</strong><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  在内容生存与抓取环节,已经有人工智能机器人的介入,如腾讯新闻的&ldquo;梦幻写手&rdquo;、新华社的&ldquo;快笔小新&rdquo;、今日头条的&ldquo;小明&rdquo;、南方都市报&ldquo;小南&rdquo;等,几秒钟就可以生成一片结构严谨、数据详实的资讯稿件,让很多新闻从业者震惊与汗颜。于是从2015年以来,&ldquo;记者消亡论&rdquo;一次又一次被提出和炒作。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  其实从上个世纪50年代开始,就陆续有写作机器人进入到美国新闻界,以快速的大数据信息搜寻和处理技术而知名,但60多年来,并没有让美国新闻记者的职业消失。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  需要承认的是,写作机器人代表着先进生产力,目前来看,可以成为记者的优质助手。实际上,写作机器人背后人工智能技术含量是相对较低的,它能够做到的是利用大数据抽取冰冷的数字和内容,形成结构化的新闻报道,在撰写深度追踪报道、人物事迹等需要强烈感情色彩的新闻或通讯中展现出明显的弱势,这是记者的强项所在,也是人工智能技术需要继续发力的地方。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  <strong>内容分发的困境:如何读懂用户情绪,打破&ldquo;信息茧房&rdquo;桎梏?</strong><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  资讯和视频的指数级增长,并不意味着消费者可以更容易获得喜爱或者需要的内容,反而进一步加剧了对的内容与对的人连接的难度。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  面对海量内容,以百度为代表的搜索引擎实现了人找信息,但是效率越来越低;以今日头条为代表的兴趣推荐实现了信息找人,在一段时间内获得行业和用户的认可,但&ldquo;信息茧房&rdquo;困境始终存在并不断加剧。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  所谓&ldquo;信息茧房&rdquo;,是人们在信息领域会习惯性地被自己的兴趣所引导,从而将自己的生活困于像蚕茧一般的&ldquo;茧房&rdquo;中、不愿接受异质化信息和观点的现象。简单基于读者兴趣的推荐引擎正在加剧这一趋势,这也是今日头条等信息流资讯被诟病之处。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  打破&ldquo;信息茧房&rdquo;,需要从不同维度分析用户的行为与兴趣偏好,引导用户探索其他领域的内容,这是人工智能要做的事情,百度、阿里、360、今日头条、快手等巨头或创业公司都在探索,日前360旗下快视频推出的&ldquo;智能探索引擎&rdquo;是有代表性解决方案。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px"><img width="640" height="442" style="border-top: medium none; border-right: medium none; border-bottom: medium none; border-left: medium none" alt="" src="http://www.people.com.cn/mediafile/pic/20171210/46/12051328364184930990.jpg" /><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  360集团助理总裁谢军样以橡皮筋的例子阐释了&ldquo;探索引擎&rdquo;的工作机制,&ldquo;用户一点点用力拉长橡皮筋,表明兴趣不断深入。当用户稍微一松手,在快视频表现就是对某种内容表示一点疲倦,此时,如同皮筋松手一样,迅速回到原位,转而探索用户的兴趣广度。通过这种方法,快视频突破单纯兴趣推荐带来的牢笼,给用户提供更新奇和惊喜的内容。&rdquo;<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px"><img width="640" height="353" style="border-top: medium none; border-right: medium none; border-bottom: medium none; border-left: medium none" alt="" src="http://www.people.com.cn/mediafile/pic/20171210/35/3808891676413304135.jpg" /><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  智能探索引擎相比搜索引擎、推荐引擎是更高阶的形态,关键在于兴趣推荐的同时,强化了情绪感知和自由探索,这是人工智能发挥作用的核心位置,也是门槛所在。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  实际上,在快视频平台当中,人工智能已经融入到超短视频生产与发布的全过程:通过智能发现、智能评估、智能去重等技术,快视频能够筛选出1-3分钟左右、浓缩精华的高品质超短视频,过滤掉低质和注水内容。同时还能智能生成优质封面,最大程度的提升用户体验。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  所有这些背后,是由360人工智能研究院作为后盾。360人工智能研究院基于深度学习计算平台和云计服务台,专注图像、大数据、语音和语音等人工智能技术研究,短视频智能是其中重要领域之一。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  然而短视频领域的快手,很容易被误解成有类似的解决方案。在人工智能热起来后,快手在不同场合强调自己本质是一家人工智能公司,但其营销概念的味道显得更浓一些,其实背后更多是基于类似今日头条的兴趣推荐。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  <strong>人工智能赋能,已经成为内容产业必然选择</strong><span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  去中心化的互联网世界,如何让优质内容与所需之人高效连接,一直是平台所要思考的问题。常见的策略有三种:<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  第一,发现并补贴能够产生优质内容的作者或者优质内容,吸引读者。百度、腾讯、阿里、360、今日头条等都有相应的补贴计划推出。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  第二,以舆情监督、编辑工具改进等技术手段,为创作者提供服务,更容易产生好的内容,百度、阿里和今日头条的舆情实验室等正在发挥这样的作用。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  第三,通过人工智能的方式,让优质内容和所需之人更容易产生连接。相对于前两者来说,这将是未来的主流方向。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  在资讯内容方面,今日头条帮助作者通过优化标题、封面等方式让内容更受关注,有人工智能应用走偏的趋势;百度则试图通过搜索引擎+人工智能结合提升分发效果。在短视频和超短视频领域,360旗下快视频探索引擎已经走出坚实一步,未来&ldquo;探索引擎&rdquo;也将引导优质内容的创作,使快视频拥有更为完善的内容生态;快手也正在通过人工智能改变推荐引擎机制,不过技术积累相对不足,有待继续观察。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <p style="white-space: normal; word-spacing: 0px; text-transform: none; color: rgb(34,34,34); padding-bottom: 0px; text-align: justify; padding-top: 0px; font: 18px/32px 微软雅黑; padding-left: 0px; margin: 25px 0px; orphans: 2; widows: 2; letter-spacing: normal; padding-right: 0px; text-indent: 0px; font-stretch: normal; -webkit-text-stroke-width: 0px">  无论是BAT、360等巨头还是今日头条、快手等创业公司,都在强调AI赋能,可以预判,2018年将是人工智能与内容深度结合的一年。不可避免的是,有些企业是真技术在应用,有些企业是炒概念在跟随。既要懂内容又要懂人,形成更有效的连接,听起来很容易,实践起来却很困难,人工智能还需要继续沉淀和成长。<span style="display:none">QXJSMT技术网-China表面贴装技术-SMT表面贴装-SMT技术网【官网】</span></p> <center><img src="/AD/SMTfgx.gif"/ "/AD/smtjscn.jpg"/></center> <p><br> </p> <style> #cyPoll .vote_txtlist dd{ left: 50%; 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