亚博app官网_谷歌助手把人工智能带给大众

本文摘要:Google ‘ s big bet on computers that can teach them selves is about to face its most significant examination。

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Google ‘ s big bet on computers that can teach them selves is about to face its most significant examination。谷歌(Google)扣押了电脑可以自主自学的赌局,并通过Machine learning has brought artificial intelligence(ai)back into the technology mainstream which机器学习使人工智能(AI)回到了技术主流。

谷歌的情况是,利用计算能力分析大量数据,识别模式并做出预测。从用户可能实际涉及的广告中,可以通过数字图像知道是猫还是狗。it ‘ s now solving problems we don ‘ t know how to solve in any other way,said Jeff dean,The engineer who has spear headed Google ‘ s efforts他补充说,谷歌目前正在将约100个产品团队应用于该技术。

the latest-and most visible-product of the push is an intelligent digital assistant,Intended to usher in a more natural and intelligent最近(The feature-called Assistant-is due to appear,in different guises,in a range of Google products and services in The comice)Apple’s smart assistant,SiriAnd Facebook’s messaging services,messenger and whatsapp。亚马逊的家庭语音控制设备Echo中所述。

还有苹果(Apple)的智能助理Siri Facebook的通信服务3354Messenger和WhatsApp。but even for a company with Google ‘ s massive computing power and engineering brains,Teaching computers to act more naturally and intelligent在谷歌这样享有相当计算能力和工程设计人才的公司里,教会电脑也要表现得更自然、更智能,面对最棘手的计算机科学问题。(威廉莎士比亚,温斯顿,电脑名言)(Google certainly has the bench strength to make a dent in this problem but no one has cracked the code yet)谷歌当然享有挑战这个问题的强大人才实力,但到目前为止还不是这样,该公司正在创建自己的交互式计算平台。

many experts in the ai field credit Google with having edged ahead of its main rivals in machine learning . ai领域的许多专家否认谷歌领先于机器学习领域的主要竞争对手。it has been showing leading edge results in the field,said oren etzioni,Head of artificial intelligence at the research institute of MicrosoftMicrosoft的共同创始人保罗阿伦(Paul Allen)He credits it with taking a more open approach than rivals,publishing its research and making its technning他指出:“This open-sourcing has helped it build a wider ecosystem around its approach。

这个开源模型有助于围绕自己的方法创造更大的生态系统。Amazon has adopted a much more closed model and is playing catch-up in machine learning,Said Mr etzioni . the people that they have attracted are ne亚马逊使用了更堵的模型,在机器学习领域赶上了谷歌,Echioni称更多的人才不是同一水平。all of this has served to raise expectations that Google ‘ s assistant will reach new standards in under standing language and supplying more internet这一切都起到了提高期望值的作用。Google Assistant将在解释语音和获得更智能的提示方面超越新的水平,从提出必要的问题到用户寻找餐厅或决定航班。

but the heightened expectations have also greatly elevated the risks。但是如果期望值提高,危险也会大大增加。

users are often quick to impute high levels of intelligence to computers that appear to understand language,Leaving plenty of room for dis appoint用户经常快速指出能够解释语言的计算机智能很强,当结果不令人满意时非常沮丧。Google first disclosed its plans for Assistant at its annual developer conference in may。谷歌在今年5月的年度开发者大会上首次公开了assistant项目。

the technology will take different forms,depending on the device or service where it is used。该技术的采用取决于使用的设备或服务。it is set to be used in a product called Home,a voice-activated gadget modelled on Amazon ‘ s break through Echo。将作为名为home的语音工具产品使用:Google also said in may that it would power a text-based intelligent service to appear inside allo,An app launched yesterday(see beer谷歌将于5月份作为应用软件Allo使用,最近公布的Allo目的是将谷歌转移到即时信息领域。

With these new approaches,the search company is betting that many people are ready to try new ways of interacting with digital devices。通过这些新方法,Around 20 per cent of searches on Android devices in the us are already conducted by voice,according to Google .谷歌称,美国,Android设备上的Advances in the quality of techniques like Speech Recognition Have brought the technology to a stage where it is ready For a mass market谷歌称之为解释
the company has done a remarkable job in areas such as speech recognition and the text-to-speech feature that turns search results into spoke Said Mr the company has done a remarkable塔特尔表示,该公司在语音识别和文本转换语音(将搜索结果转换为语音问题)等领域也表现出了出色的面貌。

each of these draws on Google ‘ s roots in internet search,Which supplies it with mountains of data about general language usage to fuel its core这一切都很好地利用了谷歌的网络搜索基础:In these contexts、Google has an advantage、says Mr Tuttle。谷歌在这方面占据优势,塔特尔做出了回应。

However,understanding language at the deeper level involves Grasping the context of a statement,which is often not obvious,or beingOllow human but not computer logic。但是,要想深入解释语言,必须控制一句话的背景(往往不显眼),或阅读遵循人类逻辑的一系列评论,而不是计算机。

these are things that trip up general-purpose tools such as Assistant,said Mr tutt le。tatel不会因为这些任务而发生标准化工具错误,如assistant。in taking on the more intractable challenges,Google is looking To draw on deep learning,the most advanced form of machine learning patternningthe technology is particularly well suited to things that computers have traditionally found impossible,such as image recognition,And has该技术特别适用于现有电脑的报废,该技术到目前为止最受关注的应用是在谷歌博客(Photos)的用户专辑中自动识别人或物体。According to Mr dean,the sort of breakthroughs made in image recognition are now beginning to be seen in language,Divining context and meaning在这些方面,其他程序已经结束。

what ‘ s happened recently is the deep learning approaches have started showing an ability to understand language for many different tasks;He concedes,though,that Google ‘ s computers are still far from matching human levels of language comprehension,Or replicating the尽管如此,good的电脑远离人类的语言理解能力,或者人类在对话中利用深层背景科学知识的程度仍然很高,We Have A Pretty Good Ability to understand Shorter Sentences Or utterances,Said Mr Dean . but We don ‘ t have the aances在解释或传达短文时,我们享有非常出色的能力。迪恩唱了这个,但我们无法解释远距离语境和人类说话时来自其他方面的深刻背景模式。a further challenge will be to restrict the situations in which assistant can handle tasks automatically,Limiting it to areas where there is litically另一个挑战将允许Assistant自动处置任务,并允许在处罚可能性较小的领域。

it is one thing to unleash a deep learning program to identify pictures of cats,said Mr dean,But it is another to set the same program free to mama迪恩为了识别猫的照片,释放了深度自学项目,但回到一定程度的程序,改变日程是另一回事。在后一种情况下,小小的误解都会造成很大的不便。

As a result,the packaging of the new Assistant technology-finding a useful set of tasks that it can do well,Without over-promising(阿尔伯特爱因斯坦,Northern Exposure(美国电视剧),)The best technologies don ‘ t always translate to The best product or The winner in The marks最坏的技术并不总是变成最大篮子的产品或市场的赢家,亚马逊以独创的Echo先声夺人,苹果用Siri逃离大众想象力,谷歌在Assistant的帮助下获得新的关注的时候到了。

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