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2019年08月22日 11:08:12    日报  参与评论()人

上饶抽脂瘦腿多少钱上饶市第三人民医院做隆鼻手术多少钱上饶韩美整形美容医院修眉手术多少钱 A few months ago I made the trek to the sylvan campus of the IBM research labs in Yorktown Heights, New York, to catch an early glimpse of the fast-arriving, long-overdue future of artificial intelligence. This was the home of Watson, the electronic genius that conquered Jeopardy! in 2011. The original Watson is still here—it#39;s about the size of a bedroom, with 10 upright, refrigerator-shaped machines forming the four walls. The tiny interior cavity gives technicians access to the jumble of wires and cables on the machines#39; backs. It is surprisingly warm inside, as if the cluster were alive.数月前,我长途跋涉来到位于纽约州约克城高地的IBM研究实验室的林间园区,为的就是能早早一窥那近在眼前却让人期待许久的人工智能的未来。这儿是超级电脑“沃森”(Watson)的研发地,而沃森在2011年就在“危险边缘”(Jeopardy!)节目的比赛里拔得头筹。最初的沃森电脑仍留于此处——它是一个体积约与一个卧室相当,由10台直立的冷柜式机器围成四面墙的计算机系统。技术人员可以通过系统内部的小细孔把各种线缆接到机器背部。系统内部温度高得出奇,仿佛这个计算机集群是活生生的一般。Today#39;s Watson is very different. It no longer exists solely within a wall of cabinets but is sp across a cloud of open-standard servers that run several hundred “instances” of the AI at once. Like all things cloudy, Watson is served to simultaneous customers anywhere in the world, who can access it using their phones, their desktops, or their own data servers. This kind of AI can be scaled up or down on demand. Because AI improves as people use it, Watson is always getting smarter; anything it learns in one instance can be immediately transferred to the others. And instead of one single program, it#39;s an aggregation of diverse software engines—its logic-deduction engine and its language-parsing engine might operate on different code, on different chips, in different locations—all cleverly integrated into a unified stream of intelligence.如今的沃森系统与之前相比有了显著差异。它不再仅仅存在于一排机柜之中,而是通过大量对用户免费开放的务器传播,这些务器能够即时运行上百种人工智能的“情况”。同所有云端化的事物一样,沃森系统为世界各地同时使用的客户务,他们能够用手机、台式机以及他们自己的数据务器连上该系统。这类人工智能可以根据需求按比例增加或减少。鉴于人工智能会随人们的使用而逐步改进,沃森将始终变得愈发聪明;它在任何一次情况中所获悉的改进点都会立即传送至其他情况中。并且,它也不是一个单一的程序,而是各种软件引擎的集合——其逻辑演绎引擎和语言引擎可以在不同的代码、芯片以及位置上运行——所有这些智慧的因素都汇集成了一个统一的智能流。Consumers can tap into that always-on intelligence directly, but also through third-party apps that harness the power of this AI cloud. Like many parents of a bright mind, IBM would like Watson to pursue a medical career, so it should come as no surprise that one of the apps under development is a medical-diagnosis tool. Most of the previous attempts to make a diagnostic AI have been pathetic failures, but Watson really works. When, in plain English, I give it the symptoms of a disease I once contracted in India, it gives me a list of hunches, ranked from most to least probable. The most likely cause, it declares, is Giardia—the correct answer. This expertise isn#39;t yet available to patients directly; IBM provides access to Watson#39;s intelligence to partners, helping them develop user-friendly interfaces for subscribing doctors and hospitals. “I believe something like Watson will soon be the world#39;s best diagnostician—whether machine or human,” says Alan Greene, chief medical officer of Scanadu, a startup that is building a diagnostic device inspired by the Star Trek medical tricorder and powered by a cloud AI. “At the rate AI technology is improving, a kid born today will rarely need to see a doctor to get a diagnosis by the time they are an adult.”用户可以直接接入这一永久连接(always-on)的智能系统,也可以通过使用这一人工智能云务的第三方应用程序接入。正如许多高瞻远瞩的父母一样,IBM想让沃森电脑从事医学工作,因此他们正在开发一款医疗诊断工具的应用程序,这倒也不足为奇。之前,诊疗方面的人工智能尝试大多以惨败告终,但沃森却卓有成效。简单地说,当我输入我曾经在印度感染上的某种疾病症状时,它会给我一个疑似病症的清单,上面一一列明了可能性从高到低的疾病。它认为我最可能感染了贾第鞭毛虫病(Giardia)——说的一点儿也没错。这一技术尚未直接对患者开放;IBM将沃森电脑的智能提供给合作伙伴接入使用,以帮助他们开发出用户友好界面为预约医生及医院方面务。“我相信类似沃森这种——无论它是机器还是人——都将很快成为世界上最好的诊疗医生”,创业公司Scanadu的首席医疗官艾伦·格林(Alan Greene)说道,该公司受到电影《星际迷航》中医用三录仪的启发,正在利用云人工智能技术制造一种诊疗设备。“从人工智能技术改进的速率来看,现在出生的孩子长大后,很可能不太需要通过看医生来得知诊疗情况了。”As AIs develop, we might have to engineer ways to prevent consciousness in them—our most premium AI services will be advertised as consciousness-free.随着人工智能发展,我们可能要设计出一些阻止它们拥有意识的方式——我们所宣称的最优质的人工智能务将是无意识务。Medicine is only the beginning. All the major cloud companies, plus dozens of startups, are in a mad rush to launch a Watson-like cognitive service. According to quantitative analysis firm Quid, AI has attracted more than billion in investments since 2009. Last year alone more than billion was invested in 322 companies with AI-like technology. Facebook and Google have recruited researchers to join their in-house AI research teams. Yahoo, Intel, Dropbox, LinkedIn, Pinterest, and Twitter have all purchased AI companies since last year. Private investment in the AI sector has been expanding 62 percent a year on average for the past four years, a rate that is expected to continue.医学仅仅只是一个开始。所有主流的云计算公司,加上数十家创业公司都在争先恐后地开展类似沃森电脑的认知务。根据量化分析公司Quid的数据,自2009年以来,人工智能已经吸引了超过170亿美元的投资。仅去年一年,就有322家拥有类似人工智能技术的公司获得了超过20亿美元的投资。Facebook和谷歌也为其公司内部的人工智能研究小组招聘了研究员。自去年以来,雅虎、英特尔、Dropbox、LinkedIn、Pinterest以及推特也都收购了人工智能公司。过去四年间,人工智能领域的民间投资以平均每年62%的增长速率增加,这一速率预计还会持续下去。Amid all this activity, a picture of our AI future is coming into view, and it is not the HAL 9000—a discrete machine animated by a charismatic (yet potentially homicidal) humanlike consciousness—or a Singularitan rapture of superintelligence. The AI on the horizon looks more like Amazon Web Services—cheap, reliable, industrial-grade digital smartness running behind everything, and almost invisible except when it blinks off. This common utility will serve you as much IQ as you want but no more than you need. Like all utilities, AI will be supremely boring, even as it transforms the Internet, the global economy, and civilization. It will enliven inert objects, much as electricity did more than a century ago. Everything that we formerly electrified we will now cognitize. This new utilitarian AI will also augment us individually as people (deepening our memory, speeding our recognition) and collectively as a species. There is almost nothing we can think of that cannot be made new, different, or interesting by infusing it with some extra IQ. In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. This is a big deal, and now it#39;s here.纵观所有这些活动,人工智能的未来正进入我们的视野之中,它既非如那种哈尔9000(HAL 9000)(译者注:小说及电影《2001:太空漫游》中的超级电脑)——一台拥有超凡(但有潜在嗜杀倾向)的类人意识并依靠此运行的独立机器那般——也非让奇点论者心醉神迷的超级智能。即将到来的人工智能颇似亚马逊的网络务——廉价、可靠、工业级的数字智慧在一切事物的背后运行,偶尔在你的眼前闪烁几下,其他时候近乎无形。这一通用设施将提供你所需要的人工智能而不超出你的需要。和所有设施一样,即使人工智能改变了互联网、全球经济以及文明,它也将变得令人厌倦。正如一个多世纪以前电力所做的那样,它会让无生命的物体活跃起来。之前我们电气化的所有东西,现在我们都将使之认知化。而实用化的新型人工智能也会增强人类个体(加深我们的记忆、加速我们的认知)以及人类群体的生活。通过加入一些额外的智能因素,我们想不到有什么东西不能变得新奇、不同且有趣。实际上,我们能轻易地预测到接下来的一万家创业公司的商业计划:“做某项事业,并加入人工智能”。兹事体大,近在眼前。Around 2002 I attended a small party for Google—before its IPO, when it only focused on search. I struck up a conversation with Larry Page, Google#39;s brilliant cofounder, who became the company#39;s CEO in 2011. “Larry, I still don#39;t get it. There are so many search companies. Web search, for free? Where does that get you?” My unimaginative blindness is solid evidence that predicting is hard, especially about the future, but in my defense this was before Google had ramped up its ad-auction scheme to generate real income, long before YouTube or any other major acquisitions. I was not the only avid user of its search site who thought it would not last long. But Page#39;s reply has always stuck with me: “Oh, we#39;re really making an AI.”大约在2002年时,我参加了谷歌的一个小型聚会——彼时谷歌尚未IPO,还在一心一意地做网络搜索。我与谷歌杰出的联合创始人、2011年成为谷歌CEO的拉里·佩奇(Larry Page)随意攀谈起来。“拉里,我还是搞不懂,现在有这么多搜索公司,你们为什么要做免费的网络搜索?你是怎么想到这个主意的?”我那缺乏想象力的无知着实明了我们很难去做预测,尤其是对于未来的预测。但我要辩解的是,在谷歌增强其广告拍卖方案并使之形成实际收益,以及进行对YouTube的并购或其他重要并购之前,预测未来是很难的。我并不是唯一一个一边狂热地用着谷歌的搜索引擎一边认为它撑不了多久的用户。但佩奇的回答让我一直难以忘怀:“哦,我们实际上是在做人工智能。”I#39;ve thought a lot about that conversation over the past few years as Google has bought 14 AI and robotics companies. At first glance, you might think that Google is beefing up its AI portfolio to improve its search capabilities, since search contributes 80 percent of its revenue. But I think that#39;s backward. Rather than use AI to make its search better, Google is using search to make its AI better. Every time you type a query, click on a search-generated link, or create a link on the web, you are training the Google AI. When you type “Easter Bunny” into the image search bar and then click on the most Easter Bunny-looking image, you are teaching the AI what an Easter bunny looks like. Each of the 12.1 billion queries that Google#39;s 1.2 billion searchers conduct each day tutor the deep-learning AI over and over again. With another 10 years of steady improvements to its AI algorithms, plus a thousand-fold more data and 100 times more computing resources, Google will have an unrivaled AI. My prediction: By 2024, Google#39;s main product will not be search but AI.过去数年间,关于那次谈话我想了很多,谷歌也收购了14家人工智能以及机器人方面的公司。鉴于搜索业务为谷歌贡献了80%的收入,因此乍一看去,你可能会觉得谷歌正在扩充其人工智能方面的投资组合以改善搜索能力。但是我认为正好相反。谷歌正在用搜索技术来改善人工智能,而非使用人工智能来改进搜索技术。每当你输入一个查询词,点击搜索引擎生成的链接,或者在网页上创造一个链接,你都是在训练谷歌的人工智能技术。当你在图片搜索栏中输入“复活节兔子”(Easter Bunny)并点击看起来最像复活节兔子的那张图片时,你都是在告诉人工智能,复活节兔子是长成什么样的。谷歌每天拥有12亿搜索用户,产生1210亿搜索关键词,每一个关键词都是在一次又一次地辅导人工智能进行深度学习。如果再对人工智能的算法进行为之10年的稳固改进,加之一千倍以上的数据以及一百倍以上的计算资源,谷歌将会开发出一款无与伦比的人工智能产品。我的预言是:到2024年,谷歌的主营产品将不再是搜索引擎,而是人工智能产品。This is the point where it is entirely appropriate to be skeptical. For almost 60 years, AI researchers have predicted that AI is right around the corner, yet until a few years ago it seemed as stuck in the future as ever. There was even a term coined to describe this era of meager results and even more meager research funding: the AI winter. Has anything really changed?这个观点自然也会招来怀疑的声音。近60年来,人工智能的研究者都预测说人工智能时代即将到来,但是直到几年前,人工智能好像还是遥不可及。人们甚至发明了一个词来描述这个研究结果匮乏、研究基金更加匮乏的时代:人工智能之冬。那么事情真的有变化吗?Yes. Three recent breakthroughs have unleashed the long-awaited arrival of artificial intelligence:是的。近期的三大突破让人们期待已久的人工智能近在眼前:1. Cheap parallel computation1. 成本低廉的并行计算Thinking is an inherently parallel process, billions of neurons firing simultaneously to create synchronous waves of cortical computation. To build a neural network—the primary architecture of AI software—also requires many different processes to take place simultaneously. Each node of a neural network loosely imitates a neuron in the brain—mutually interacting with its neighbors to make sense of the signals it receives. To recognize a spoken word, a program must be able to hear all the phonemes in relation to one another; to identify an image, it needs to see every pixel in the context of the pixels around it—both deeply parallel tasks. But until recently, the typical computer processor could only ping one thing at a time.思考是一种人类固有的并行过程,数以亿计的神经元同时放电以创造出大脑皮层用于计算的同步脑电波。搭建一个神经网络——即人工智能软件的主要结构——也需要许多不同的进程同时运行。神经网络的每一个节点都大致模拟了大脑中的一个神经元——其与相邻的节点互相作用,以明确所接收的信号。一项程序要理解某个口语单词,就必须能够听清(不同音节)彼此之间的所有音素;要识别出某幅图片,就需要看到其周围像素环境内的所有像素——二者都是深层次的并行任务。但直到最近,标准的计算机处理器也仅仅能一次处理一项任务。That began to change more than a decade ago, when a new kind of chip, called a graphics processing unit, or GPU, was devised for the intensely visual—and parallel—demands of games, in which millions of pixels had to be recalculated many times a second. That required a specialized parallel computing chip, which was added as a supplement to the PC motherboard. The parallel graphical chips worked, and gaming soared. By 2005, GPUs were being produced in such quantities that they became much cheaper. In 2009, Andrew Ng and a team at Stanford realized that GPU chips could run neural networks in parallel.事情在十多年前就已经开始发生变化,彼时出现了一种被称为图形处理单元(graphics processing unit -GPU)的新型芯片,它能够满足可视游戏中高密度的视觉以及并行需求,在这一过程中,每秒钟都有上百万像素被多次重新计算。这一过程需要一种专门的并行计算芯片,该芯片添加至电脑主板上,作为对其的补充。并行图形芯片作用明显,游戏可玩性也大幅上升。到2005年,GPU芯片产量颇高,其价格便降了下来。2009年,吴恩达(Andrew Ng)(译者注:华裔计算机科学家)以及斯坦福大学的一个研究小组意识到,GPU芯片可以并行运行神经网络。That discovery unlocked new possibilities for neural networks, which can include hundreds of millions of connections between their nodes. Traditional processors required several weeks to calculate all the cascading possibilities in a 100 million-parameter neural net. Ng found that a cluster of GPUs could accomplish the same thing in a day. Today neural nets running on GPUs are routinely used by cloud-enabled companies such as Facebook to identify your friends in photos or, in the case of Netflix, to make reliable recommendations for its more than 50 million subscribers.这一发现开启了神经网络新的可能性,使得神经网络能容纳上亿个节点间的连接。传统的处理器需要数周才能计算出拥有1亿节点的神经网的级联可能性。而吴恩达发现,一个GPU集群在一天内就可完成同一任务。现在,一些应用云计算的公司通常都会使用GPU来运行神经网络,例如,Facebook会籍此技术来识别用户照片中的好友,Netfilx也会依其来给5000万订阅用户提供靠谱的推荐内容。2. Big Data2. 大数据Every intelligence has to be taught. A human brain, which is genetically primed to categorize things, still needs to see a dozen examples before it can distinguish between cats and dogs. That#39;s even more true for artificial minds. Even the best-programmed computer has to play at least a thousand games of chess before it gets good. Part of the AI breakthrough lies in the incredible avalanche of collected data about our world, which provides the schooling that AIs need. Massive databases, self-tracking, web cookies, online footprints, terabytes of storage, decades of search results, Wikipedia, and the entire digital universe became the teachers making AI smart.每一种智能都需要被训练。哪怕是天生能够给事物分类的人脑,也仍然需要看过十几个例子后才能够区分猫和。人工思维则更是如此。即使是(国际象棋)程序编的最好的电脑,也得在至少对弈一千局之后才能有良好表现。人工智能获得突破的部分原因在于,我们收集到来自全球的海量数据,以给人工智能提供了其所需的训练。巨型数据库、自动跟踪(self-tracking)、网页cookie、线上足迹、兆兆字节级存储、数十年的搜索结果、维基百科以及整个数字世界都成了老师,是它们让人工智能变得更加聪明。3. Better algorithms3. 更优的算法Digital neural nets were invented in the 1950s, but it took decades for computer scientists to learn how to tame the astronomically huge combinatorial relationships between a million—or 100 million—neurons. The key was to organize neural nets into stacked layers. Take the relatively simple task of recognizing that a face is a face. When a group of bits in a neural net are found to trigger a pattern—the image of an eye, for instance—that result is moved up to another level in the neural net for further parsing. The next level might group two eyes together and pass that meaningful chunk onto another level of hierarchical structure that associates it with the pattern of a nose. It can take many millions of these nodes (each one producing a calculation feeding others around it), stacked up to 15 levels high, to recognize a human face. In 2006, Geoff Hinton, then at the University of Toronto, made a key tweak to this method, which he dubbed “deep learning.” He was able to mathematically optimize results from each layer so that the learning accumulated faster as it proceeded up the stack of layers. Deep-learning algorithms accelerated enormously a few years later when they were ported to GPUs. The code of deep learning alone is insufficient to generate complex logical thinking, but it is an essential component of all current AIs, including IBM#39;s Watson, Google#39;s search engine, and Facebook#39;s algorithms.20世纪50年代,数字神经网络就被发明了出来,但计算机科学家花费了数十年来研究如何驾驭百万乃至亿级神经元之间那庞大到如天文数字一般的组合关系。这一过程的关键是要将神经网络组织成为堆叠层(stacked layer)。一个相对来说比较简单的任务就是人脸识别。当某神经网络中的一组比特被发现能够形成某种图案——例如,一只眼睛的图像——这一结果就会被向上转移至该神经网络的另一层以做进一步分析。接下来的这一层可能会将两只眼睛拼在一起,将这一有意义的数据块传递到层级结构的第三层,该层可以将眼睛和鼻子的图像结合到一起(来进行分析)。识别一张人脸可能需要数百万个这种节点(每个节点都会生成一个计算结果以供周围节点使用),并需要堆叠高达15个层级。2006年,当时就职于多伦多大学的杰夫·辛顿(Geoff Hinton)对这一方法进行了一次关键改进,并将其称之为“深度学习”。他能够从数学层面上优化每一层的结果从而使神经网络在形成堆叠层时加快学习速度。数年后,当深度学习算法被移植到GPU集群中后,其速度有了显著提高。仅靠深度学习的代码并不足以能产生复杂的逻辑思维,但是它是包括IBM的沃森电脑、谷歌搜索引擎以及Facebook算法在内,当下所有人工智能产品的主要组成部分。This perfect storm of parallel computation, bigger data, and deeper algorithms generated the 60-years-in-the-making overnight success of AI. And this convergence suggests that as long as these technological trends continue—and there#39;s no reason to think they won#39;t—AI will keep improving.这一由并行计算、大数据和更深层次算法组成的完美风暴使得持续耕耘了60年的人工智能一鸣惊人。而这一聚合也表明,只要这些技术趋势继续下去——它们也没有理由不延续——人工智能将精益求精。As it does, this cloud-based AI will become an increasingly ingrained part of our everyday life. But it will come at a price. Cloud computing obeys the law of increasing returns, sometimes called the network effect, which holds that the value of a network increases much faster as it grows bigger. The bigger the network, the more attractive it is to new users, which makes it even bigger, and thus more attractive, and so on. A cloud that serves AI will obey the same law. The more people who use an AI, the smarter it gets. The smarter it gets, the more people use it. The more people that use it, the smarter it gets. Once a company enters this virtuous cycle, it tends to grow so big, so fast, that it overwhelms any upstart competitors. As a result, our AI future is likely to be ruled by an oligarchy of two or three large, general-purpose cloud-based commercial intelligences.随着这一趋势的持续,这种基于云技术的人工智能将愈发成为我们日常生活中不可分割的一部分。但天上没有掉馅饼的事。云计算遵循收益递增(increasing returns)法则,这一法则有时也被称为网络效应(network effect),即随着网络发展壮大,网络价值也会以更快的速度增加。网络(规模)越大,对于新用户的吸引力越强,这又让网络变得更大,又进一步增强了吸引力,如此往复。为人工智能务的云技术也遵循这一法则。越多人使用人工智能产品,它就会变得越聪明;它变得越聪明,就有越多人来使用它;然后它变得更聪明,进一步就有更多人使用它。一旦有公司迈进了这个良性循环中,其规模会变大、发展会加快,以至于没有任何新兴对手能望其项背。因此,人工智能的未来将有两到三家寡头公司统治,它们会开发出大规模基于云技术的多用途商业智能产品。In 1997, Watson#39;s precursor, IBM#39;s Deep Blue, beat the reigning chess grand master Garry Kasparov in a famous man-versus-machine match. After machines repeated their victories in a few more matches, humans largely lost interest in such contests. You might think that was the end of the story (if not the end of human history), but Kasparov realized that he could have performed better against Deep Blue if he#39;d had the same instant access to a massive database of all previous chess moves that Deep Blue had. If this database tool was fair for an AI, why not for a human? To pursue this idea, Kasparov pioneered the concept of man-plus-machine matches, in which AI augments human chess players rather than competes against them.1997年,沃森电脑的前辈、IBM公司的深蓝电脑在一场著名的人机大赛中击败了当时的国际象棋大师加里·卡斯帕罗夫(Garry Kasparov)。在电脑又赢了几场比赛之后,人们基本上失去了对这类比赛的兴趣。你可能会认为故事到此就结束了,但卡斯帕罗夫意识到,如果他也能像深蓝一样立即访问包括以前所有棋局棋路变化在内的巨型数据库的话,他在对弈中能表现得更好。如果这一数据库工具对于人工智能设备来说是公平的话,为什么人类不能使用它呢?为了探究这一想法,卡斯帕罗夫率先提出了“人加机器”(man-plus-machine)比赛的概念,即用人工智能增强国际象棋选手水平,而非让人与机器之间对抗。Now called freestyle chess matches, these are like mixed martial arts fights, where players use whatever combat techniques they want. You can play as your unassisted human self, or you can act as the hand for your supersmart chess computer, merely moving its board pieces, or you can play as a “centaur,” which is the human/AI cyborg that Kasparov advocated. A centaur player will listen to the moves whispered by the AI but will occasionally override them—much the way we use GPS navigation in our cars. In the championship Freestyle Battle in 2014, open to all modes of players, pure chess AI engines won 42 games, but centaurs won 53 games. Today the best chess player alive is a centaur: Intagrand, a team of humans and several different chess programs.这种比赛如今被称为自由式国际象棋比赛,它有点儿像混合武术对抗赛,选手们可以使用任何他们想要用的作战技巧。你可以单打独斗;也可以接受你那装有超级聪明的国际象棋软件的电脑给出的帮助,你要做的仅仅是按照它的建议来移动棋子;或者你可以当一个卡斯帕罗夫所提倡的那种“半人半机”的选手。半人半机选手会听取人工智能设备在其耳边提出的棋路建议,但是也间或不会采用这些建议——颇似我们开车时候用的GPS导航一般。在接受任何模式选手参赛的2014年自由式国际象棋对抗锦标赛上,纯人工智能的国际象棋引擎赢得了42场比赛,而半人半机选手则赢得了53场。当今世上最优秀的国际象棋选手就是半人半机选手Intagrand,它是一个由多人以及数个不同国际象棋程序所组成的小组。But here#39;s the even more surprising part: The advent of AI didn#39;t diminish the performance of purely human chess players. Quite the opposite. Cheap, supersmart chess programs inspired more people than ever to play chess, at more tournaments than ever, and the players got better than ever. There are more than twice as many grand masters now as there were when Deep Blue first beat Kasparov. The top-ranked human chess player today, Magnus Carlsen, trained with AIs and has been deemed the most computer-like of all human chess players. He also has the highest human grand master rating of all time.但最令人惊讶的是:人工智能的出现并未让纯人类的国际象棋棋手的水平下降。恰恰相反,廉价、超级智能的国际象棋软件吸引了更多人来下国际象棋,比赛比以前增多了,棋手的水平也比以前上升了。现在的国际象棋大师(译者注:国际象棋界的一种等级)人数是深蓝战胜卡斯帕罗夫那时候的两倍多。现在的排名第一的人类国际象棋棋手马格努斯·卡尔森(Magnus Carlsen)就曾接受人工智能的训练,他被认为是所有人类国际象棋棋手中最接近电脑的棋手,同时也是有史以来积分最高的人类国际象棋大师。If AI can help humans become better chess players, it stands to reason that it can help us become better pilots, better doctors, better judges, better teachers. Most of the commercial work completed by AI will be done by special-purpose, narrowly focused software brains that can, for example, translate any language into any other language, but do little else. Drive a car, but not converse. Or recall every pixel of every on YouTube but not anticipate your work routines. In the next 10 years, 99 percent of the artificial intelligence that you will interact with, directly or indirectly, will be nerdily autistic, supersmart specialists.如果人工智能能帮助人类成为更优秀的国际象棋棋手,那么它也能帮助我们成为更为优秀的飞行员、医生、法官以及教师。大多数由人工智能完成的商业工作都将是有专门目的的工作,严格限制在智能软件能做到的工作之内,比如,(人工智能产品)把某种语言翻译成另一种语言,但却不能翻译成第三种语言。再比如,它们可以开车,但却不能与人交谈。或者是能回忆起YouTube上每个视频的每个像素,却无法预测你的日常工作。在未来十年,你与之直接或者间接互动的人工智能产品,有99%都将是高度专一、极为聪明的“专家”。In fact, this won#39;t really be intelligence, at least not as we#39;ve come to think of it. Indeed, intelligence may be a liability—especially if by “intelligence” we mean our peculiar self-awareness, all our frantic loops of introspection and messy currents of self-consciousness. We want our self-driving car to be inhumanly focused on the road, not obsessing over an argument it had with the garage. The synthetic Dr. Watson at our hospital should be maniacal in its work, never wondering whether it should have majored in English instead. As AIs develop, we might have to engineer ways to prevent consciousness in them—and our most premium AI services will likely be advertised as consciousness-free.实际上,这并非真正的智能,至少不是我们细细想来的那种智能。的确,智能可能是一种倾向——尤其是如果我们眼中的智能意味着我们那特有的自我意识、一切我们所有的那种狂乱的自省循环以及凌乱的自我意识流的话。我们希望无人驾驶汽车能一心一意在路上行驶,而不是纠结于之前和车库的争吵。医院中的综合医生“沃森”能专心工作,不要去想自己是不是应该专攻英语。随着人工智能的发展,我们可能要设计出一些阻止它们拥有意识的方式——我们所宣称的最优质的人工智能务将是无意识务。What we want instead of intelligence is artificial smartness. Unlike general intelligence, smartness is focused, measurable, specific. It also can think in ways completely different from human cognition. A cute example of this nonhuman thinking is a cool stunt that was performed at the South by Southwest festival in Austin, Texas, in March of this year. IBM researchers overlaid Watson with a culinary database comprising online recipes, USDA nutritional facts, and flavor research on what makes compounds taste pleasant. From this pile of data, Watson dreamed up novel dishes based on flavor profiles and patterns from existing dishes, and willing human chefs cooked them. One crowd favorite generated from Watson#39;s mind was a tasty version of fish and chips using ceviche and fried plantains. For lunch at the IBM labs in Yorktown Heights I slurped down that one and another tasty Watson invention: Swiss/Thai asparagus quiche. Not bad! It#39;s unlikely that either one would ever have occurred to humans.我们想要的不是智能,而是人工智慧。与一般的智能不同,智慧(产品)具有专心、可衡量、种类特定的特点。它也能够以完全异于人类认知的方式来思考。这儿有一个关于非人类思考的一个很好的例子,今年三月在德克萨斯州奥斯汀举行的西南偏南音乐节(South by Southwest festival)上,沃森电脑就上演了一幕厉害的绝技:IBM的研究员给沃森添加了由在线菜谱、美国农业部(USDA)出具的营养表以及让饭菜更美味的味道研究报告组成的数据库。凭借这些数据,沃森依靠味道配置资料和现有菜色模型创造出了新式的菜肴。其中一款由沃森创造出的受人追捧的菜肴是美味版本的“炸鱼和炸薯条”(fish and chips),它是用酸橘汁腌鱼和油炸芭蕉制成。在约克城高地的IBM实验室里,我享用了这道菜,也吃了另一款由沃森创造出的美味菜肴:瑞士/泰式芦笋乳蛋饼。味道挺不错!Nonhuman intelligence is not a bug, it#39;s a feature. The chief virtue of AIs will be their alien intelligence. An AI will think about food differently than any chef, allowing us to think about food differently. Or to think about manufacturing materials differently. Or clothes. Or financial derivatives. Or any branch of science and art. The alienness of artificial intelligence will become more valuable to us than its speed or power.非人类的智能不是错误,而是一种特征。人工智能的主要优点就是它们的“相异智能”(alien intelligence)。一种人工智能产品在思考食物方面与任何的大厨都不相同,这也能让我们以不同的方式看待食物,或者是以不同的方式来考虑制造物料、衣、金融衍生工具或是任意门类的科学和艺术。相较于人工智能的速度或者力量来说,它的相异性对我们更有价值。As it does, it will help us better understand what we mean by intelligence in the first place. In the past, we would have said only a superintelligent AI could drive a car, or beat a human at Jeopardy! or chess. But once AI did each of those things, we considered that achievement obviously mechanical and hardly worth the label of true intelligence. Every success in AI redefines it.实际上,人工智能将帮助我们更好地理解我们起初所说的智能的意思。过去,我们可能会说只有那种超级聪明的人工智能产品才能开车,或是在“危险边缘”节目以及国际象棋大赛中战胜人类。而一旦人工智能做到了那些事情,我们就会觉得这些成就明显机械又刻板,并不能够被称为真正意义上的智能。人工智能的每次成功,都是在重新定义自己。But we haven#39;t just been redefining what we mean by AI—we#39;ve been redefining what it means to be human. Over the past 60 years, as mechanical processes have replicated behaviors and talents we thought were unique to humans, we#39;ve had to change our minds about what sets us apart. As we invent more species of AI, we will be forced to surrender more of what is supposedly unique about humans. We#39;ll spend the next decade—indeed, perhaps the next century—in a permanent identity crisis, constantly asking ourselves what humans are for. In the grandest irony of all, the greatest benefit of an everyday, utilitarian AI will not be increased productivity or an economics of abundance or a new way of doing science—although all those will happen. The greatest benefit of the arrival of artificial intelligence is that AIs will help define humanity. We need AIs to tell us who we are.但我们不仅仅是在一直重新定义人工智能的意义——也是在重新定义人类的意义。过去60年间,机械加工复制了我们曾认为是人类所独有的行为和才能,我们不得不改变关于人机之间区别的观点。随着我们发明出越来越多种类的人工智能产品,我们将不得不放弃更多被视为人类所独有能力的观点。在接下来的十年里——甚至,在接下来的一个世纪里——我们将处于一场旷日持久的身份危机(identity crisis)中,并不断扪心自问人类的意义。在这之中最为讽刺的是,我们每日接触的实用性人工智能产品所带来的最大益处,不在于提高产能、扩充经济或是带来一种新的科研方式——尽管这些都会发生。人工智能的最大益处在于,它将帮助我们定义人类。我们需要人工智能来告诉我们,我们究竟是谁。 /201411/340814玉山县光子美白多少钱

上饶市人民医院去胎记多少钱Samsung Electronics Co. is stepping up its hunt for acquisitions and building out its presence in Silicon Valley to try and overcome its key weakness: software.三星电子公司(Samsung Electronics Co.)正加快寻求收购机会,并采取措施扩大其在硅谷的影响力,以尝试克其主要弱点:软件。The South Korea-based company became the world#39;s largest maker of smartphones by manufacturing attractive devices that hit the market quickly and cheaply.这家韩国企业生产的电子产品上市速度快且价格低廉,对消费者极具吸引力,使其成为了世界最大的智能手机制造商。But to thrive in a mobile-device market increasingly dominated by software specialists like Apple Inc., Google Inc. and Microsoft Corp., which acquired Nokia Corp.#39;s phone business last month, Samsung is aiming to become a software power in its own right.但为了在日益被苹果(Apple Inc.)、谷歌(Google Inc.)和微软(Microsoft Corp.)等精通软件的厂商主导的移动设备市场取得蓬勃发展,三星打算凭己之力成为软件巨擘。微软在上个月刚刚收购了诺基亚(Nokia Corp.)的手机业务。Earlier this year, Samsung was among the bidders for Israeli mobile-mapping service Waze Ltd., according to people familiar with the matter. Google eventually bought Waze for about .1 billion in July, a deal that is under review by the Federal Trade Commission. According to one person, Samsung had approached Waze in hopes of making a large investment and forming a partnership, before acquisition talks kicked off.知情人士表示,今年早些时候,三星参与了以色列手机地图务公司Waze Ltd.的收购竞价。7月份,谷歌最终以约110亿美元的价格收购Waze,目前该交易正在接受美国联邦贸易委员会(Federal Trade Commission)的审查。据一位知情人士称,在收购谈判开始前,三星曾与Waze有过接洽,希望进行大笔投资并建立合作关系。Samsung has plenty of other Silicon Valley software startups in its sights, particularly in games, mobile search, social media and mapping-related services, according to employees and an internal document reviewed by the Journal.从三星员工提供的信息及《华尔街日报》审阅过的一份内部文件来看,三星已经准备在硅谷收购大量软件初创企业,尤其是游戏、手机搜索、社交媒体和地图相关务方面的企业。The document, a mergers and acquisitions presentation prepared in February by Samsung#39;s Media Solution Center, the arm that works on software initiatives, lays out the company#39;s rationale for bulking up in each category and lists potential acquisition and investment targets.这份文件是三星公司负责软件方面行动的媒体解决方案中心(Media Solutions Center)今年2月准备的一份有关兼并收购的演示报告,其中阐述了公司在每个领域扩张的理由,并列出了潜在的收购和投资的目标。According to the document, Samsung has evaluated startups such as y Technologies, a San Francisco-based developer of gaming platforms, and Green Throttle Games Inc., a Santa Clara, Calif.-based company that makes game controllers and software that connects mobile devices to televisions. It has also considered gaming pioneer Atari Inc., which Samsung could have used to offer classic games like Asteroids and Pong exclusively on its mobile phones. Atari auctioned off some of its properties this year as part of a bankruptcy filing after rejecting preliminary bids from several companies for its portfolio of games.这份文件显示,三星对y Technologies和Green Throttle Games Inc.等初创企业进行了评估。前者是旧金山一家游戏平台开发商,后者是加州 克拉拉(Santa Clara)一家制造游戏手柄和移动设备与电视连接软件的公司。三星还考虑了游戏行业的先锋企业Atari Inc.,三星原本可以利用这家公司在手机上提供Asteroids和Pong等经典游戏。Atari今年拒绝了数家公司对其游戏组合产品的初步竞价要约,后来按照破产申请的要求将其部分资产进行了拍卖。Samsung has also looked closely at Glympse, a Seattle-based company that allows users to share their location with their friends--a service that Samsung says could be integrated into their phones#39; native calendar and contacts functions, differentiating it from competitors.三星还对西雅图的Glympse予以了密切关注。这是一家为用户提供地理位置分享务的公司,三星表示这项务可以与手机自带的日历和联系人功能进行整合,从而在竞争对手中脱颍而出。Samsung first reached out to Glympse in early 2012, and has raised the prospect of an equity investment, though discussions remain ongoing, according to a person familiar with the matter. Last month, Glympse unveiled an app for Samsung#39;s Galaxy Gear smartwatch.据知情人士称,三星最早于2012年初与Glympse接洽,并提出了股权投资的设想,但商讨目前还在进行中。上个月,Glympse为三星Galaxy Gear智能手表推出了一款应用。Elsewhere in the document, Samsung named Tel Aviv-based mobile search engine Everything.me as a possible target. It has also looked at -chat app Rounds, another Israeli startup, that would help Samsung compete with Apple#39;s FaceTime and Google#39;s Hangouts.在这份文件中,三星还将以色列特拉维夫的手机搜索引擎Everything.me作为潜在目标。此外还在考虑视频聊天应用Rounds,开发这一应用的Rounds公司也是一家以色列的初创企业,这一应用将可以帮助三星与苹果的FaceTime和谷歌的Hangouts竞争。Samsung declined to comment on its acquisition plans--but it has made no secret of what it calls its #39;embracing the culture of Silicon Valley.#39;三星拒绝就其收购计划予以置评,但其所自称的“对硅谷文化的欢迎”已经不是秘密。In recent months, the Suwon, South Korea-based company has broken ground on a major research facility near Apple#39;s offices and launched a software startup accelerator with locations in Palo Alto, Calif., and Manhattan#39;s Chelsea neighborhood. It will make early-stage investments in startups, especially developers of software for Samsung devices.近几个月,总部位于韩国水原(Suwon)的三星公司开始在硅谷启动离苹果公司不远的一处大型研发中心的建设,并开设了一个覆盖加州帕洛阿尔托(Palo Alto)和曼哈顿切尔西(Chelsea)社区的软件创业公司加速器。加速器将为初创企业进行早期投资,特别是为三星产品开发软件的开发商。Samsung, which has .1 billion set aside for early-stage startup and venture capital investments in the U.S., is also poaching software engineers from its U.S. rivals and, at a hotel in San Francisco later this month, will host its first ever developers#39; conference, an important step toward creating an #39;ecosystem#39; of applications unique to its devices.三星拨出了11亿美元用于在美国进行初创企业的早期投资及风险投资,同时也在挖美国竞争对手的软件工程师。本月晚些时候三星将在旧金山一家酒店举行有史以来的首次开发商大会,这是创建专为三星产品量身打造的应用程序“生态环境”的重要一步。#39;The kind of things that happen in the Valley are really exciting to Samsung, #39; said David Eun, the head of Samsung#39;s Open Innovation Center, which operates the software-startup accelerator.负责运作软件创业公司加速器的三星开放创新中心(Open Innovation Center)的负责人大卫·尤恩(David Eun)说:“正在硅谷发生的事情对三星来说非常激动人心。”The aggressive move into its rivals#39; backyard is unusual for Samsung, a company that has historically kept its operations heavily centralized and shied away from outside deals. The emphasis on self-reliance runs so deep that Samsung manufactures some 90% of its products within its own factories.积极闯入竞争对手后院的做法对三星来说是不同寻常的,因为这是一个历来高度集中管理且避开外部交易的公司。对自给自足的侧重根深蒂固,因此三星约90%的产品都是在自己的工厂中生产。Privately, company executives portray the recent shift not as a repudiation of its long-term strategy, but rather as a complement to its own research and development efforts, which remain substantial.私下里,三星公司高管并不认为最近的转变是对其长期战略的背离,而是与自身本已充实的研发努力相辅相成。The company spent .8 billion on Ramp;D last year, with 67, 000 employees devoted to helping Samsung maintain its edge in the global television, semiconductor and home-appliance markets.三星去年的研发开为108亿美元,6.7万名员工全力以赴助力三星保持在全球电视、半导体和家用电器市场的优势。So far, though, its attempts at developing a proprietary-software hit for its mobile phones--which account for two-thirds of Samsung#39;s operating profits--have fallen flat.不过迄今为止,为三星手机开发热门自有软件的努力并未达到预期效果。手机业务占三星营业利润的三分之二。Among Samsung#39;s recent efforts are an abandoned mobile operating system, a mobile chat service that has struggled to gain traction and coolly received technologies that anticipate hand gestures and eye movements.在三星最近的努力中,有一款废置的手机操作系统、一款难以获得关注的移动聊天务软件,手势和眼球操纵技术的市场反应也比较冷淡。In November 2009, Samsung launched Bada, an open-source mobile operating system that it hoped could challenge Google#39;s Android platform. But Bada#39;s unfriendly user interface and poor syncing with other devices proved unpopular with consumers.2009年11月,三星推出了开源手机操作系统Bada,希望该系统可以与谷歌的安卓(Android)相较量。但由于用户界面不友好,与其他设备的同步也很差,Bada并未受到消费者的欢迎。Earlier this year, Samsung pulled the plug on Bada, rolling those efforts into a new operating system known as Tizen. There too, Silicon Valley plays a key role: Samsung is codeveloping Tizen with Intel Corp. The company has yet to release a Tizen-powered smartphone.今年早些时候,三星放弃了Bada,把精力投在了一款名叫Tizen的新型操作系统上。硅谷再次扮演了关键的角色:Tizen是三星与英特尔(Intel Corp.)合作开发的。三星目前尚未发布Tizen操作系统的智能手机。If Samsung#39;s new operating system catches on, it could relieve the company#39;s reliance on Android, which powers the vast majority of Samsung#39;s mobile devices, including its new smartwatch.如果三星的新款操作系统受到欢迎,那么就可以缓解公司对安卓的依赖。三星绝大多数手机都采用安卓系统,包括其最新的智能手表。Breaking through with a proprietary #39;must-have#39; software application could also bolster Samsung#39;s position at a time when the company is vulnerable to competition from Chinese hardware makers, including Lenovo Group Ltd., Huawei Technologies Co. and Xiaomi Inc. In the most recent quarter, Samsung#39;s mobile business saw its operating profit margin fall to 17.7%, from 19.8% in the previous quarter amid pricing pressure from rivals and increased spending on advertising.面对包括联想集团(Lenovo Group Ltd.)、华为技术公司(Huawei Technologies Co.)和小米公司(Xiaomi Inc.)在内的中国硬件制造商的竞争,开创性地开发出一款自有的“必备”软件应用还可以提高三星的地位。三季度,由于竞争对手的价格压力以及广告费用的增加,三星手机业务的运营利润率从前一季度的19.8%下降到了17.7%。Meanwhile, Google#39;s tie-up with Motorola Mobility in 2011, and Microsoft#39;s move to acquire Nokia#39;s mobile-phone business last month, mean that Samsung will face heightened competition from companies that, like Apple, can compete in both hardware and software.与此同时,谷歌2011年与托罗拉移动公司(Motorola Mobility)的联姻,以及上个月微软对诺基亚手机业务的收购,都意味着三星将面临来自苹果等在软硬件方面均有强大实力的公司的更大的竞争。Samsung#39;s software success is far from assured. Unlike Apple, Google and Microsoft, the Korean electronics giant doesn#39;t have a history of software achievements. Instead, Samsung cut its teeth in the world of hardware, where efficiency, flexibility and supply-chain management are paramount.三星在软件方面的成功谁也不能保。与苹果、谷歌和微软不同,这家韩国电子巨头并没有在软件方面取得成就的历史。相反,三星在硬件领域可谓轻车熟路,在这个领域,效率、灵活性和供应链管理至关重要。Acquiring its way to software dominance is no easier than building up its software capabilities organically. While Samsung has some nearly billion in cash on hand, the company has struggled in the past with deal-making. Even today, some in Silicon Valley say, Samsung has developed a reputation for kicking the tires on a range of potential deals, only rarely pulling the trigger.通过收购为进入软件领域开路并不比逐步打造其软件方面的能力容易。尽管手头有近500亿美元的现金,但三星过去曾经在收购交易上栽过跟头。硅谷有人说,就连现在,三星也都只是对一系列潜在交易进行了调查,但很少敲定成交。One reason for such caution is Samsung#39;s purchase of AST Research Inc. in the mid-1990s, an experience that still weighs heavily on company executives.这种谨慎的原因之一是三星在上世纪90年代中期对AST Research Inc.的收购,这次收购经历对公司高管的影响依然很大。The two-part, 0 million acquisition of Irvine, Calif.-based AST, once the world#39;s fifth-largest computer maker, was conceived as an attempt to break into the U.S. personal-computer market.总部位于加州尔湾(Irvine)的AST当时是世界第五大电脑制造商。三星以8.4亿美元的价格分两部分对其进行了收购,这一举动被认为是企图打入美国个人电脑市场。Samsung sustained heavy losses in AST before ultimately giving up on the deal, which remains Samsung#39;s largest overseas acquisition to date. Even now, the office of the chairman remains wary of big acquisitions, in large part because of AST, employees say.由于遭受沉重损失,三星最终放弃了对AST的收购。迄今为止这依然是三星历史上规模最大的海外收购。三星员工表示,到现在董事长办公室对大型收购交易依然保持谨慎,很大程度上就是因为AST收购。Samsung#39;s recent acquisitions have been small, and focused on software developers that can help distinguish Samsung#39;s phones from others built on the Android platform三星近期的收购交易规模都较小,并且集中于能帮助三星手机有别于其他搭载安卓平台产品的软件开发商身上。Last May, Samsung--seeking to create a credible rival to Apple#39;s iTunes platform--snapped up mSpot Inc., a Palo Alto, Calif.-based mobile-software developer with hopes of creating a one-stop media platform that would allow users to stream and download music on their Samsung devices.去年5月,为了对苹果iTunes平台构成实质性的威胁,三星收购了加州帕洛阿尔托手机软件开发商mSpot,希望创建一个一站式媒体平台,让用户可从三星手机上试听和下载音乐。In the process, Samsung hoped to rival not only iTunes, but also online music-streaming services such as those offered by Sweden#39;s Spotify AB and Oakland, Calif.-based Pandora Media Inc.在这个过程中,三星希望不光能与iTunes抗衡,还希望能与其他在线音乐流媒体务较量,比如瑞典的Spotify AB和加州奥克兰(Oakland)的Pandora Media Inc.。Earlier this year, Samsung moved mSpot into a new office with plans to double its staff by the end of 2013. Since then, however, the company#39;s attempts to develop the product, initially called Samsung Music Hub, have foundered.今年早些时候,三星为mSpot安排了新办公室,计划在2013年底将其员工规模扩充一倍。不过此后三星开发起初名为Samsung Music Hub的相关产品的努力进展得并不顺利。 /201311/263580上饶市第二人民医院口腔美容中心 APPLE says 2 million iPhone 5 were sold on the Chinese mainland in the first three days since sales began last Friday.苹果公司表示200台iPhone 5自上周五开始前三天在中国大陆销售一空。Industry insiders said the figure reflected the popularity of iPhone 5 in China, the world#39;s biggest mobile phone market, and Apple#39;s improved distribution and supply in its second biggest market after the ed States.业内人士说这个数字反映了在中国这个世界上最大的手机市场iPhone 5的流行,苹果在其仅次于美国的第二大市场改进了分发和供应链。;Customer response to iPhone 5 in China has been incredible,; Apple#39;s Chief Executive Tim Cook said in a statement yesterday. ;China is a very important market for us and customers there cannot wait to get their hands on Apple products.;“在中国消费者对iPhone 5的反应一直令人难以置信,”苹果的首席执行官蒂姆#8226;库克昨日在一份声明中表示。“中国对我们来说是一个非常重要的市场,那里的顾客迫不及待地想要得到苹果产品。”Figures for initial sales of previous iPhone models in China were not available.先前iPhone模型在中国的销售原始数据并不可用。In September, when the iPhone 5 made its debut in nine countries and regions, including the ed States and Hong Kong, more than 5 million phones were sold in the first three days.今年9月,当iPhone 5在9个国家和地区首次亮相,包括美国和香港,在前三天拥有超过500万的手机销量。Apple#39;s partners on the mainland, China Unicom and China Telecom, launched sales at midnight last Thursday, earlier than the Apple Stores which opened at 7am on Friday.苹果在中国内地的合作伙伴,中国联通和中国电信,在上周四午夜开始销售,早于周五早上7点苹果零售店开售。;Everyone who comes to our store is able to get an iPhone 5 because we have stocks for two or three days,; Zhu Yan, China Telecom#39;s Shanghai-based marketing official, said.“凡到我们商店的每个人能够得到一台iPhone 5,因为我们有两三天的储备,”朱燕,中国电信上海市场官员说。Previously, people had to queue for several hours at Apple Stores to buy products such as the iPhone 4 and iPad 2 when they were launched.以前当他们推出时人们不得不在苹果商店排几个小时购买如iPhone 4和iPad 2那样的产品。;It#39;s really easy this time because you can buy it everywhere,; said Xu Min, a software engineer who bought a white 16GB phone from Bailian#39;s online store.“这次真的很容易因为你到处都可以买到,”徐敏说,一位软件工程师,他从百联的在线商店买了一台白色的16 GB手机。 /201212/215031江西省上饶脂肪移植隆胸费用

上饶韩美医疗整形美容医院整形Watches often have special value to people, for sentimental reasons or practical interests. With a watch like the Samsung Galaxy Gear -- somewhat utilitarian and probably only perceived as fashionable at a tech convention -- I found it was hard to get attached to it.由于感情上的原因或是实际的用处,手表对人们常常具有特殊的价值。对于像三星Galaxy Gear这样一款手表,我发现很难喜欢上它。这款手表带有实用主义风格,或许只有在科技大会上才会被认为是时尚产品。I#39;ve been testing the Gear, a new #39;smart#39; watch that connects via Bluetooth to a Samsung mobile device and shows you notifications. It showed me calendar reminders and text messages, and told me when I had new email. And since the Gear has a microphone and speaker, you can even make phone calls through the watch (technically, the call is happening through your smartphone). It#39;s certainly an improvement over the Sony SmartWatch I reviewed a year and a half ago.我一直在对Gear进行测试,这款新的“智能”手表可以通过蓝牙与三星移动设备连接,显示各类通知。它可以显示日历提醒和短信,通知我收到新邮件。Gear有一个麦克风和扩音器,你甚至可以通过这只手表打电话(理论上讲,通话是通过你的智能手机进行的)。相比一年半前我测评的索尼SmartWatch,这款手表显然有进步。But it has some serious drawbacks. For one, it costs 0, and that doesn#39;t include the pricey smartphone you#39;ll need to tote along with it. Also, it only works with Samsung smartphones, like the Note 3, which I tested it with.但它也有一些严重缺陷。首先,它的价格是300美元,这还不包括需要与这款手表一同携带的昂贵智能手机。此外,它只能与Note 3等三星智能手机连接,我测试这款手表时使用的就是Note 3。Having to charge a wristwatch once a day or every other day might not thrill some people. Lastly, there are some limitations to what this watch will actually show on its display.每天或每隔一天需要给手表充电,这可能也让一些人提不起兴致。最后,这款手表屏幕上显示的内容是有一些局限性的。I#39;ll be superficial and talk appearances first. There#39;s no way around it: The Galaxy Gear looks like a geek watch. It has a textured rubber band, a thick, adjustable metal clasp and visible screws around the face of the watch. The 1.6-inch touch screen is pretty sleek-looking. There is a lone button on the right-hand side of the watch that takes you back to the home screen, which displays the time and date.首先谈谈外观。有一点是没法解决的:Galaxy Gear看起来像是一款极客手表。它有一个带文理的橡胶表带,一个厚重、可调节的金属表带扣,表盘周围还可以看到螺丝。1.6英寸的触屏看起来非常光滑。手表的右侧只有一个按钮,按这个按钮可以回到主屏幕,主屏幕显示时间和日期。Possibly the geekiest part is the round eye of a camera on the band. This is, presumably, so you can talk to fellow spies through the watch and then stealthily take photos of an unsuspecting subject.或许最“极客”的是表带上摄像头的圆眼睛。这想必是为了让你能够通过手表与间谍同事通话,然后偷拍丝毫未察觉的目标。How the Gear fits will depend on the size of your wrist. I was a #39;tweener#39; -- one setting was too tight and the next was a little bit loose. It weighs 2.6 ounces and comes with four gigabytes of internal storage.Gear戴起来是否合适,这要取决于你手腕的粗细。我就找不到合适的扣眼──有一个扣眼扣着太紧,另一个扣着又有些松。这款手表重2.6盎司,内部存储空间为4G。The Gear watch comes with a charging cradle, a small, square-shaped plastic nest. But this charging cradle serves another purpose: It#39;s part of the Gear setup. I had to tap the Note 3 against the back of the cradle to install the Galaxy Gear manager app on the smartphone. This app is where I would manage all of the Gear settings and apps.Gear有一个充电座,这是一个方形小塑料座。但这个充电座还有另外一个用处:它是Gear设置的一部分。我必须拿着Note 3 冲着充电座的背面拍打,才能把Galaxy Gear管理应用安装到智能手机上。这个应用可以管理所有的Gear设置和应用。The next step of the setup involved wirelessly connecting the watch, via Bluetooth, to the smartphone. This was pretty straightforward.设置过程的下一步是将手表通过蓝牙与智能手机无线连接。这个很简单。However, whenever I wandered more than 30 feet or so away from the Note 3, the Gear watch on my wrist would disconnect from the smartphone. I could still see the time on the watch, but some apps wouldn#39;t work without a connection to the smartphone.但我只要离开Note 3,走出大约30英尺,我戴在手腕上的Gear手表就会与智能手机断开连接。我仍能看到手表上的时间,但与智能手机断开连接后,一些应用就不能用了。Setting up those apps can be confusing. The watch comes with a few preinstalled, like the pedometer and a weather app. And there are Android-based apps on the smartphone, like Gmail, that you can opt in for notifications on the watch.设置这些应用也令人晕头转向。手表上有一些预装的应用,如计步器和一个天气应用。智能手机上有一些基于安卓系统的应用如Gmail,你可以选择在手表上显示这些应用的相关通知。Then there are other Samsung-branded apps -- like S Health, Samsung#39;s proprietary fitness-tracking app, which I used with the watch#39;s pedometer -- that require a Samsung login and password.除此而外还有其他三星品牌的应用,诸如三星享有专利的健康状况跟踪应用S Health,我将其与手表的计步器一同使用,这些应用需要以三星的账户名和密码登录。Finally, there are Gear-specific apps, such as FB Quickview and Tweet Quickview, that aren#39;t the #39;real#39; Facebook and Twitter apps, but allow you to get social-network notifications on the watch.另外还有专门用于Gear的应用,如FB Quickview和Tweet Quickview,它们并非“真正的”Facebook和推特应用,但可以通过它们在手表上收到社交网络的通知消息。Swiping through the watch felt somewhat intuitive. From the home screen, swiping from side to side will take you through the key apps of the watch. Once you#39;re in an app, swiping down will bring you back to the previous screen.在手表上的触屏操作感觉比较直观。在主屏幕上左右滑动就可以浏览手表的主要应用。进入应用界面后,向下滑动就可以回到前一个界面。On some occasions, I found the Gear watch useful. I was out bike riding when a Google Calendar appointment popped up on the screen, reminding me I needed to be home in 10 minutes to accept a scheduled package delivery. If the watch buzzed or beeped while I was driving, I could look down and see I had new messages. I couldn#39;t Gmail content on the watch; the watch told me to it on my mobile device.在一些情况下,我发现Gear手表很有用。我有一次在外面骑自行车时,屏幕上跳出了谷歌日历(Google Calendar)的约会提醒,让我想起我得在10分钟内回家收一份事先约定的包裹。我开车的时候如果手表震动或哔哔作响,我一低头就能看到有新的消息。在手表上不能阅读Gmail的内容;手表让我在移动设备上查看。I also couldn#39;t see pictures friends sent me via text message. And when I tried responding using S Voice, Samsung#39;s voice-recognition app, it was super-slow to recognize my commands.朋友们通过短信发送给我的图片也无法在手表上查看。当我试图用三星的语音识别软件S Voice回复时,手表识别我的命令极其缓慢。Taking photos with the watch was admittedly fun. You access the camera by swiping down from the home screen and snap a photo with a quick tap on the screen. But you can#39;t share these from the watch. You have to send them to the smartphone first.用手表拍照确实很有意思。从主屏幕向下滑动就能启动相机,然后在屏幕上轻轻一点就可以拍照。但不能从手表上分享这些照片。你必须先将照片发到智能手机上。It#39;s almost impossible to talk about a smartwatch as a two-way communicator without mentioning Dick Tracy, but the Gear is just that. I called my boss and he said the call quality was good on his end, too. I called my mom and told her I was calling her from a watch and she laughed.说到作为双向通讯工具的智能手表就不能不提到《至尊神探》(Dick Tracy),但Gear确实就是像那样的。我打电话给我的老板,他说他那头的通话质量也很好。我给我母亲打电话,跟她说我是用一只手表给她打的,她大笑起来。The call quality was good because you#39;re basically using the watch as a Bluetooth speaker. You can dial a number or call up a contact from the watch as long as the smartphone is nearby.通话质量不错的原因是你其实是将手表当作蓝牙话筒使用。如果离智能手机不远,就可以通过手表拨号或呼叫联系人。Samsung says the battery life of the Gear watch should be about the same as your average smartphone. In my experience, it lasted close to two days.三星说,Gear手表的电池续航时间差不多与普通的智能手机一样。在我试用时,手表的续航时间接近两天。And when I put it in its cradle to rest and recharge, I didn#39;t exactly miss it.而当我将它放到底座上充电时,也并不怀念它。 /201311/264634 上饶弋阳县减肥医院哪家好江西省上饶韩美医院绣眉多少钱

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