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class="9sc2tsl" id="container"> <section> <article> <h1>人工智能產(chǎn)業(yè)鏈?zhǔn)飞献钊治?/h1> <div id="mjnkbsh" class="authorTimeSource"> <span>作者：物聯(lián)網(wǎng)智商</span> <span>時(shí)間：2021-05-20</span> <span>來(lái)源：中創(chuàng)產(chǎn)業(yè)研究院，物聯(lián)網(wǎng)智商</span> <link rel="stylesheet" type="text/css"/> <span style="float:right; width:130px;margin-right:0px; text-align:right;"> <div id="owwjf3k" class="nav0"> <ul> <li><a href="javascript:void(0);"><img src="http://cafeforensic.com/event/action/images/icon_add_4.png" width="20" border="0" align="absmiddle" />加入技術(shù)交流群</a> <ul> <li style="text-align:center;"><img src="http://cafeforensic.com/event/company/images/code_1.jpg" width="130"><br />掃碼加入<br />和技術(shù)大咖面對(duì)面交流<br />海量資料庫(kù)查詢</li> </ul> </li> </ul> </div> </span> <span style="float:right; width:30px;margin-right:0px; text-align:right;"><a rel="nofollow">收藏</a></span> </div> <div id="yhed0em" class="hAd4_Afinal20a_back">  <iframe id='a890e388' name='a890e388' src='https://ad.eepw.com.cn/www/delivery/afr.php?zoneid=88&cb=INSERT_RANDOM_NUMBER_HERE' frameborder='0' scrolling='no' width='660' height='60'><a target='_blank'><img src='https://ad.eepw.com.cn/www/delivery/avw.php?zoneid=88&cb=INSERT_RANDOM_NUMBER_HERE&n=a635e61e' border='0' alt='' /></a></iframe> </div> <div style="margin-top:28px;"></div> <div id="ou5iijk" class="content" id="contentDiv" style="position:relative;"> <div id="0mprbxz" class="ad_300x180_Afinal13_back">  <iframe id='a225770a' name='a225770a' src='https://ad.eepw.com.cn/www/delivery/afr.php?zoneid=87&cb=INSERT_RANDOM_NUMBER_HERE' frameborder='0' scrolling='no' width='300' height='200'><a target='_blank'><img src='https://ad.eepw.com.cn/www/delivery/avw.php?zoneid=87&cb=INSERT_RANDOM_NUMBER_HERE&n=a576c0a2' border='0' alt='' /></a></iframe> </div> <span id="contentlabels" style="font-size:14px;"><p><br/></p>本文引用地址：<a href="http://cafeforensic.com/article/202105/425692.htm">http://cafeforensic.com/article/202105/425692.htm</a><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475082793304.jpg" title="1621475082793304.jpg" alt="1621475082793304.jpg" width="600" height="307"/></p><p style="text-indent: 2em;"><strong>人工智能產(chǎn)業(yè)鏈分為基礎(chǔ)層、技術(shù)層和應(yīng)用層</strong><br/></p><p style="text-indent: 2em;">人工智能產(chǎn)業(yè)鏈包括三層：基礎(chǔ)層、技術(shù)層和應(yīng)用層。其中，基礎(chǔ)層是人工智能產(chǎn)業(yè)的基礎(chǔ)，主要是研發(fā)硬件及軟件，如AI芯片、數(shù)據(jù)資源、云計(jì)算平臺(tái)等，為人工智能提供數(shù)據(jù)及算力支撐；技術(shù)層是人工智能產(chǎn)業(yè)的核心，以模擬人的智能相關(guān)特征為出發(fā)點(diǎn)，構(gòu)建技術(shù)路徑；應(yīng)用層是人工智能產(chǎn)業(yè)的延伸，集成一類或多類人工智能基礎(chǔ)應(yīng)用技術(shù)，面向特定應(yīng)用場(chǎng)景需求而形成軟硬件產(chǎn)品或解決方案。<br/></p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475104672835.jpg" title="1621475104672835.jpg" alt="1621475104672835.jpg" width="600" height="328"/></p><p style="text-align: center;"><em>中國(guó)人工智能100強(qiáng)企業(yè)產(chǎn)業(yè)鏈分布情況</em></p><p style="text-indent: 2em;"><strong>基礎(chǔ)層是人工智能產(chǎn)業(yè)的基礎(chǔ)，主要是研發(fā)硬件及軟件</strong></p><p style="text-indent: 2em;">基礎(chǔ)層是人工智能產(chǎn)業(yè)的基礎(chǔ)，主要是研發(fā)硬件及軟件，如AI芯片、數(shù)據(jù)資源、云計(jì)算平臺(tái)等，為人工智能提供數(shù)據(jù)及算力支撐。主要包括計(jì)算硬件（AI芯片）、計(jì)算系統(tǒng)技術(shù)（大數(shù)據(jù)、云計(jì)算和5G通信）和數(shù)據(jù)（數(shù)據(jù)采集、標(biāo)注和分析）。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475125887032.jpg" title="1621475125887032.jpg" alt="1621475125887032.jpg" width="600" height="360"/></p><p style="text-align: center;"><em>中國(guó)人工智能100強(qiáng)企業(yè)產(chǎn)業(yè)鏈基礎(chǔ)層</em></p><p style="text-indent: 2em;">1、計(jì)算硬件-AI芯片</p><p style="text-indent: 2em;">AI芯片是人工智能產(chǎn)業(yè)的核心硬件。人工智能芯片的定義從廣義上講只要能夠運(yùn)行人工智能算法的芯片都叫作人工智能芯片，但是通常意義上的人工智能芯片指的是針對(duì)人工智能算法做了特殊加速設(shè)計(jì)的芯片?，F(xiàn)階段，這些人工智能算法一般以深度學(xué)習(xí)算法為主，也可以包括其它機(jī)器學(xué)習(xí)算法。人工智能芯片分類一般有按技術(shù)架構(gòu)分類、按功能劃分、按應(yīng)用場(chǎng)景分類三種分類方式。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475172769258.jpg" title="1621475172769258.jpg" alt="微信圖片_20210520094032.jpg"/></p><p style="text-align: center;"><em>人工智能芯片分類</em></p><p style="text-indent: 2em;">當(dāng)前，我國(guó)人工智能芯片行業(yè)正處在生命周期的幼稚期。主要原因是國(guó)內(nèi)人工智能芯片行業(yè)的整體銷售市場(chǎng)正處于快速增長(zhǎng)階段，傳統(tǒng)芯片的應(yīng)用場(chǎng)景逐漸被人工智能專用芯片所取代，市場(chǎng)對(duì)于人工智能芯片的需求將隨著云/邊緣計(jì)算、智慧型手機(jī)和物聯(lián)網(wǎng)產(chǎn)品一同增長(zhǎng)，并且在這期間，國(guó)內(nèi)的許多企業(yè)紛紛發(fā)布了自己的專用AI芯片；盡管國(guó)內(nèi)人工智能芯片正逐漸取代傳統(tǒng)芯片，但是集成商或芯片企業(yè)仍在尋找新的合作模式，這樣才能很好地抓住新客戶的需求，除了當(dāng)前的合作客戶，拓展新客戶合作開發(fā)產(chǎn)品是困難的，因此紛紛推出開源或開放平臺(tái)讓客戶開發(fā)新需求。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475196483917.jpg" title="1621475196483917.jpg" alt="1621475196483917.jpg" width="600" height="336"/></p><p style="text-align: center;"><em>我國(guó)人工智能芯片行業(yè)所處周期</em></p><p style="text-indent: 2em;">2、計(jì)算系統(tǒng)技術(shù)-大數(shù)據(jù)、云計(jì)算和5G通信</p><p style="text-indent: 2em;">人工智能與大數(shù)據(jù)、云計(jì)算和5G關(guān)系緊密，由于巨大數(shù)據(jù)的產(chǎn)生，使得人們關(guān)注用數(shù)據(jù)做一些過(guò)去只有人能夠做的事情。配合云計(jì)算帶來(lái)的計(jì)算資源和計(jì)算能力，人工智能依托數(shù)據(jù)基礎(chǔ)，對(duì)周遭環(huán)境做出一定的程序反應(yīng)，實(shí)現(xiàn)人工智能的落地。其中，5G網(wǎng)絡(luò)的主要作用是讓終端用戶始終處于聯(lián)網(wǎng)狀態(tài)，讓信息通過(guò)5G在線快速傳播和交互。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475215960158.jpg" title="1621475215960158.jpg" alt="1621475215960158.jpg" width="600" height="270"/></p><p style="text-align: center;"><em>人工智能與大數(shù)據(jù)、云計(jì)算、5G的關(guān)系</em></p><p style="text-indent: 2em;"><strong>大數(shù)據(jù)</strong></p><p style="text-indent: 2em;">當(dāng)前，我國(guó)正在加速?gòu)臄?shù)據(jù)大國(guó)向著數(shù)據(jù)強(qiáng)國(guó)邁進(jìn)。國(guó)際數(shù)據(jù)公司IDC和數(shù)據(jù)存儲(chǔ)公司希捷的一份報(bào)告顯示，到2025年，隨著中國(guó)物聯(lián)網(wǎng)等新技術(shù)的持續(xù)推進(jìn)，其產(chǎn)生的數(shù)據(jù)將超過(guò)美國(guó)。我國(guó)產(chǎn)生的數(shù)據(jù)量將從2018年的約7.6ZB增至2025年的48.6ZB，數(shù)據(jù)交易迎來(lái)戰(zhàn)略機(jī)遇期。1ZETTABYTE大約是1萬(wàn)億GIGABYTE，這是當(dāng)今常用的測(cè)量方法。與此同時(shí)，美國(guó)2018年的數(shù)據(jù)量約為6.9ZB。到2025年，這個(gè)數(shù)字預(yù)計(jì)將達(dá)到30.6ZB。據(jù)貴陽(yáng)大數(shù)據(jù)交易所統(tǒng)計(jì)，中國(guó)大數(shù)據(jù)產(chǎn)業(yè)市場(chǎng)在未來(lái)五年內(nèi)，仍將保持著高速增長(zhǎng)。2017年中國(guó)大數(shù)據(jù)市場(chǎng)規(guī)模為3517億元，增速為41.6%，預(yù)計(jì)到2020年，中國(guó)大數(shù)據(jù)產(chǎn)業(yè)規(guī)?；蜻_(dá)13626億元左右。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475235968410.jpg" title="1621475235968410.jpg" alt="微信圖片_20210520094059.jpg"/></p><p style="text-align: center;"><em>2018年-2025年中美數(shù)據(jù)生產(chǎn)量</em></p><p style="text-indent: 2em;"><strong>云計(jì)算</strong></p><p style="text-indent: 2em;">近年來(lái)，我國(guó)云計(jì)算新興產(chǎn)業(yè)快速推進(jìn)。多個(gè)城市開展了試點(diǎn)和示范項(xiàng)目，涉及電網(wǎng)、交通、物流、智能家居、節(jié)能環(huán)保、工業(yè)自動(dòng)控制、醫(yī)療衛(wèi)生、精細(xì)農(nóng)牧業(yè)、金融服務(wù)業(yè)、公共安全等多個(gè)方面，試點(diǎn)已經(jīng)取得初步的成果，將產(chǎn)生巨大的應(yīng)用市場(chǎng)。根據(jù)中國(guó)信通院公布的數(shù)據(jù)顯示，2013年以來(lái)我國(guó)云計(jì)算市場(chǎng)規(guī)模保持了逐年較快增長(zhǎng)，2017年達(dá)691.6億元，同比增長(zhǎng)34.3%。據(jù)測(cè)算2018年我國(guó)云計(jì)算市場(chǎng)規(guī)模突破900億元。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475252741769.jpg" title="1621475252741769.jpg" alt="微信圖片_20210520094106.jpg"/></p><p style="text-align: center;"><em>2013-2018年中國(guó)云計(jì)算市場(chǎng)規(guī)模增長(zhǎng)情況</em>(單位：億元)</p><p style="text-indent: 2em;"><strong>5G通信</strong></p><p style="text-indent: 2em;">雖然2014年5月三星電子就已宣布其開發(fā)出首個(gè)機(jī)遇5G核心技術(shù)的移動(dòng)傳輸網(wǎng)絡(luò)，且我國(guó)運(yùn)營(yíng)商和設(shè)備制造商也較早開展相關(guān)技術(shù)研發(fā)，但是我國(guó)5G規(guī)劃從2015年開始。《國(guó)家"十三五"規(guī)劃》指出積極推進(jìn)第五代移動(dòng)通信（5G）技術(shù)研究，于2020年啟動(dòng)5G商用。中國(guó)5G試驗(yàn)規(guī)劃分為兩大階段：第一個(gè)階段為5G關(guān)鍵技術(shù)測(cè)試階段（2015~2018），第二個(gè)階段為5G產(chǎn)品研發(fā)階段（2018~2020），預(yù)計(jì)2020年實(shí)現(xiàn)正式商用。2018年12月，工信部發(fā)放5G系統(tǒng)試驗(yàn)頻率使用許可。</p><p style="text-indent: 0em; text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475268926023.jpg" title="1621475268926023.jpg" alt="微信圖片_20210520094114.jpg"/></p><p style="text-indent: 0em; text-align: center;"><em>中國(guó)5G產(chǎn)業(yè)發(fā)展歷程</em></p><p style="text-indent: 2em;">3、數(shù)據(jù)-數(shù)據(jù)采集、標(biāo)注和分析</p><p style="text-indent: 2em;">人工智能產(chǎn)業(yè)目前已經(jīng)發(fā)展至量變階段，需要通過(guò)大量的數(shù)據(jù)做出質(zhì)變進(jìn)而突破現(xiàn)有的屏障，數(shù)據(jù)標(biāo)注和采集行業(yè)應(yīng)運(yùn)而生。數(shù)據(jù)采集、標(biāo)注和分析是指文本、圖像、視頻、語(yǔ)音等數(shù)據(jù)的采集、數(shù)據(jù)標(biāo)注和分析。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475288691128.jpg" title="1621475288691128.jpg" alt="微信圖片_20210520094124.jpg"/></p><p style="text-align: center;"><em>數(shù)據(jù)采集和標(biāo)準(zhǔn)分類</em></p><p style="text-indent: 2em;">技術(shù)層是人工智能產(chǎn)業(yè)的核心，以模擬人的智能相關(guān)特征為出發(fā)點(diǎn)</p><p style="text-indent: 2em;">技術(shù)層是人工智能產(chǎn)業(yè)的核心，以模擬人的智能相關(guān)特征為出發(fā)點(diǎn)，構(gòu)建技術(shù)路徑。主要包括算法理論（機(jī)器學(xué)習(xí)）、開發(fā)平臺(tái)（基礎(chǔ)開源框架、技術(shù)開放平臺(tái)）和應(yīng)用技術(shù)（計(jì)算機(jī)視覺、機(jī)器視覺、智能語(yǔ)音、自然語(yǔ)言理解）。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475306153098.jpg" title="1621475306153098.jpg" alt="1621475306153098.jpg" width="600" height="271"/></p><p style="text-align: center;"><em>中國(guó)人工智能100強(qiáng)企業(yè)產(chǎn)業(yè)鏈技術(shù)層</em></p><p style="text-indent: 2em;">1、中國(guó)人工智能專利及論文量世界領(lǐng)先</p><p style="text-indent: 2em;">從近十年人工智能專利數(shù)量來(lái)看，根據(jù)烏鎮(zhèn)智庫(kù)發(fā)布的數(shù)據(jù)，中國(guó)在全球人工智能專利數(shù)量上處于絕對(duì)領(lǐng)先的地位。2009-2018年，中國(guó)人工智能累計(jì)專利數(shù)量達(dá)到68467件。同期美國(guó)人工智能專利數(shù)量為30200件，美國(guó)和中國(guó)位于第一梯隊(duì)并占據(jù)絕對(duì)領(lǐng)先優(yōu)勢(shì)。韓國(guó)位于第二梯隊(duì)，同期數(shù)量為6893件，僅為中國(guó)的10%。英國(guó)和加拿大的專利數(shù)量相近，分別排在全球的第四位和第五位。從近十年人工智能論文數(shù)量來(lái)看，根據(jù)烏鎮(zhèn)智庫(kù)發(fā)布的數(shù)據(jù)，2009-2018年中美英三國(guó)在論文數(shù)量方面占據(jù)全球前三的位置。其中，中國(guó)同樣在數(shù)量上具有絕對(duì)的優(yōu)勢(shì)，論文累計(jì)數(shù)量達(dá)到了30303篇，美國(guó)和英國(guó)累計(jì)數(shù)量為18144篇和8188篇。印度后來(lái)居上位居第四位，西班牙則排名第五。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475330786710.jpg" title="1621475330786710.jpg" alt="微信圖片_20210520094137.jpg"/></p><p style="text-align: center;"><em>各國(guó)人工智能領(lǐng)域?qū)＠麛?shù)量累計(jì)情況(單位：件)</em></p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475346747796.jpg" title="1621475346747796.jpg" alt="微信圖片_20210520094146.jpg"/></p><p style="text-align: center;"><em>各國(guó)人工智能領(lǐng)域論文累計(jì)數(shù)量情況(單位：篇)</em></p><p style="text-indent: 2em;">2、國(guó)內(nèi)基礎(chǔ)及技術(shù)層企業(yè)基礎(chǔ)算法及平臺(tái)公司數(shù)量?jī)H占4%</p><p style="text-indent: 2em;">算法作為人工智能技術(shù)的引擎，主要用于計(jì)算、數(shù)據(jù)分析和自動(dòng)推理。目前美國(guó)是人工智能算法發(fā)展水平最高的國(guó)家。從高校科研到企業(yè)的算法研發(fā)，美國(guó)都占據(jù)著絕對(duì)優(yōu)勢(shì)。在中國(guó)，僅有少數(shù)幾家科技巨頭擁有針對(duì)算法的開放平臺(tái)，國(guó)內(nèi)人工智能基礎(chǔ)及技術(shù)層企業(yè)中，基礎(chǔ)算法及平臺(tái)公司數(shù)量?jī)H占4%。我國(guó)人工智能產(chǎn)業(yè)發(fā)展過(guò)于依賴開源代碼和現(xiàn)有數(shù)學(xué)模型，導(dǎo)致專業(yè)性和針對(duì)性不足，效果往往不能滿足具體任務(wù)的實(shí)際要求。以圖像識(shí)別為例，用開源代碼開發(fā)出的AI即使可以準(zhǔn)確識(shí)別人臉，但在對(duì)醫(yī)學(xué)影像的識(shí)別上卻難以達(dá)到臨床要求。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475360217770.jpg" title="1621475360217770.jpg" alt="微信圖片_20210520094153.jpg"/></p><p style="text-align: center;"><em>國(guó)內(nèi)人工智能基礎(chǔ)級(jí)技術(shù)層企業(yè)數(shù)量分布情況(單位：%)</em></p><p style="text-indent: 2em;">3、中國(guó)人工智能人才相對(duì)匱乏</p><p style="text-indent: 2em;">根據(jù)牛津大學(xué)2018年對(duì)中美兩國(guó)算法研究領(lǐng)域的人才與全球先進(jìn)國(guó)家的對(duì)比顯示，中國(guó)目前在算法研究方面的人才僅占全球人工智能底層技術(shù)研究的13.1%，而美國(guó)算法人才的占比為26.2%。從開設(shè)人工智能專業(yè)院校的數(shù)量來(lái)看，中國(guó)僅有不到30所大學(xué)的研究實(shí)驗(yàn)室專注于人工智能，這一數(shù)字遠(yuǎn)遠(yuǎn)無(wú)法滿足人工智能企業(yè)的用人需求。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475377321812.jpg" title="1621475377321812.jpg" alt="微信圖片_20210520094200.jpg"/></p><p style="text-align: center;"><em>中美兩國(guó)算法研究人才占比(單位：%)</em></p><p style="text-align: center;"><br/></p><p style="text-align: center;"><em>應(yīng)用層是人工智能產(chǎn)業(yè)的延伸，為特定應(yīng)用場(chǎng)景提供軟硬件產(chǎn)品或解決方案</em></p><p style="text-indent: 2em;">應(yīng)用層是人工智能產(chǎn)業(yè)的延伸，集成一類或多類人工智能基礎(chǔ)應(yīng)用技術(shù)，面向特定應(yīng)用場(chǎng)景需求而形成軟硬件產(chǎn)品或解決方案。主要包括從行業(yè)解決方案（“AI+”）和熱門產(chǎn)品（智能汽車、機(jī)器人、智能家居、可穿戴設(shè)備等）。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475395245884.jpg" title="1621475395245884.jpg" alt="1621475395245884.jpg" width="600" height="247"/></p><p style="text-align: center;"><em>中國(guó)人工智能100強(qiáng)企業(yè)產(chǎn)業(yè)鏈應(yīng)用層</em></p><p style="text-indent: 2em;">1、行業(yè)應(yīng)用-AI+傳統(tǒng)行業(yè)</p><p style="text-indent: 2em;">“AI+傳統(tǒng)行業(yè)”，覆蓋了醫(yī)療、金融、教育、文娛、零售、物流、政務(wù)、安防等諸多垂直領(lǐng)域。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475420729376.jpg" title="1621475420729376.jpg" alt="1621475420729376.jpg" width="600" height="241"/></p><p style="text-align: center;"><em>人工智能行業(yè)應(yīng)用</em></p><p style="text-indent: 2em;">2、行業(yè)產(chǎn)品-智能汽車、機(jī)器人、智能家居、可穿戴設(shè)備等</p><p style="text-indent: 2em;">人工智能領(lǐng)域的熱門產(chǎn)品主要有智能汽車、機(jī)器人、智能家居、可穿戴設(shè)備等。對(duì)5G和人工智能來(lái)說(shuō)，汽車是絕佳載體，而對(duì)于汽車行業(yè)來(lái)說(shuō)，5G和人工智能又是重要的附加值，智能汽車已成為汽車產(chǎn)業(yè)發(fā)展的重要方向；機(jī)器人分為工業(yè)機(jī)器人和特種機(jī)器人（服務(wù)機(jī)器人、水下機(jī)器人、娛樂機(jī)器人、軍用機(jī)器人、農(nóng)業(yè)機(jī)器人），隨著人工智能的快速發(fā)展，各種類型的機(jī)器人紛紛面世，一些公司也在以實(shí)際行動(dòng)推動(dòng)機(jī)器人落地，如今，一個(gè)機(jī)器人應(yīng)用的新時(shí)代正在出現(xiàn)；智能家居主要包括智能燈光控制系統(tǒng)、智能窗簾、智能門鎖、智能音箱、智能冰箱、智能水壺等等，人工智能讓家居產(chǎn)品擁有“會(huì)思考、能決策”的能力，設(shè)備智能化以后讓生活變得更簡(jiǎn)單化；可穿戴設(shè)備主要包括智能手環(huán)、智能手表、智能眼鏡、智能頭盔，可穿戴設(shè)備作為AI的入口，可應(yīng)用在體育、醫(yī)療、娛樂、科教、商業(yè)等方面。</p><p style="text-align: center;"><img src="http://editerupload.eepw.com.cn/202105/1621475447263832.jpg" title="1621475447263832.jpg" alt="1621475447263832.jpg" width="600" height="232"/></p></span>  <div class="l9pmszd" id="coverDiv" class="article_reg" style="width:100%;overflow:hidden;display:none;z-index:10;position:absolute;left:0;background:#fff;"> <center> <img 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target="_blank">LabVIEW</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Arduino" title="Arduino" target="_blank">Arduino</a></li> <li><a href="http://cafeforensic.com/tech/s/k/RFID" title="RFID" target="_blank">RFID</a></li> <li><a href="http://cafeforensic.com/tech/s/k/NFC" title="NFC" target="_blank">NFC</a></li> <li><a href="http://cafeforensic.com/tech/s/k/STM32" title="STM32" target="_blank">STM32</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Protel" title="Protel" target="_blank">Protel</a></li> <li><a href="http://cafeforensic.com/tech/s/k/GPS" title="GPS" target="_blank">GPS</a></li> <li><a href="http://cafeforensic.com/tech/s/k/MSP430" title="MSP430" target="_blank">MSP430</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Multisim" title="Multisim" target="_blank">Multisim</a></li> <li><a href="http://cafeforensic.com/tech/s/k/濾波器" title="濾波器" target="_blank">濾波器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/CAN總線" title="CAN總線" target="_blank">CAN總線</a></li> <li><a href="http://cafeforensic.com/tech/s/k/開關(guān)電源" title="開關(guān)電源" target="_blank">開關(guān)電源</a></li> <li><a href="http://cafeforensic.com/tech/s/k/單片機(jī)" title="單片機(jī)" target="_blank">單片機(jī)</a></li> <li><a href="http://cafeforensic.com/tech/s/k/PCB" title="PCB" target="_blank">PCB</a></li> <li><a href="http://cafeforensic.com/tech/s/k/USB" title="USB" target="_blank">USB</a></li> <li><a href="http://cafeforensic.com/tech/s/k/ARM" title="ARM" target="_blank">ARM</a></li> <li><a href="http://cafeforensic.com/tech/s/k/CPLD" title="CPLD" target="_blank">CPLD</a></li> <li><a href="http://cafeforensic.com/tech/s/k/連接器" title="連接器" target="_blank">連接器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/MEMS" title="MEMS" target="_blank">MEMS</a></li> <li><a href="http://cafeforensic.com/tech/s/k/CMOS" title="CMOS" target="_blank">CMOS</a></li> <li><a href="http://cafeforensic.com/tech/s/k/MIPS" title="MIPS" target="_blank">MIPS</a></li> <li><a href="http://cafeforensic.com/tech/s/k/EMC" title="EMC" target="_blank">EMC</a></li> <li><a href="http://cafeforensic.com/tech/s/k/EDA" title="EDA" target="_blank">EDA</a></li> <li><a href="http://cafeforensic.com/tech/s/k/ROM" title="ROM" target="_blank">ROM</a></li> <li><a href="http://cafeforensic.com/tech/s/k/陀螺儀" title="陀螺儀" target="_blank">陀螺儀</a></li> <li><a href="http://cafeforensic.com/tech/s/k/VHDL" title="VHDL" target="_blank">VHDL</a></li> <li><a href="http://cafeforensic.com/tech/s/k/比較器" title="比較器" target="_blank">比較器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Verilog" title="Verilog" target="_blank">Verilog</a></li> <li><a href="http://cafeforensic.com/tech/s/k/穩(wěn)壓電源" title="穩(wěn)壓電源" target="_blank">穩(wěn)壓電源</a></li> <li><a href="http://cafeforensic.com/tech/s/k/RAM" title="RAM" target="_blank">RAM</a></li> <li><a href="http://cafeforensic.com/tech/s/k/AVR" title="AVR" target="_blank">AVR</a></li> <li><a href="http://cafeforensic.com/tech/s/k/傳感器" title="傳感器" target="_blank">傳感器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/可控硅" title="可控硅" target="_blank">可控硅</a></li> <li><a href="http://cafeforensic.com/tech/s/k/IGBT" title="IGBT" target="_blank">IGBT</a></li> <li><a href="http://cafeforensic.com/tech/s/k/嵌入式開發(fā)" title="嵌入式開發(fā)" target="_blank">嵌入式開發(fā)</a></li> <li><a href="http://cafeforensic.com/tech/s/k/逆變器" title="逆變器" target="_blank">逆變器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Quartus" title="Quartus" target="_blank">Quartus</a></li> <li><a href="http://cafeforensic.com/tech/s/k/RS-232" title="RS-232" target="_blank">RS-232</a></li> <li><a href="http://cafeforensic.com/tech/s/k/Cyclone" title="Cyclone" target="_blank">Cyclone</a></li> <li><a href="http://cafeforensic.com/tech/s/k/電位器" title="電位器" target="_blank">電位器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/電機(jī)控制" title="電機(jī)控制" target="_blank">電機(jī)控制</a></li> <li><a href="http://cafeforensic.com/tech/s/k/藍(lán)牙" title="藍(lán)牙" target="_blank">藍(lán)牙</a></li> <li><a href="http://cafeforensic.com/tech/s/k/PLC" title="PLC" target="_blank">PLC</a></li> <li><a href="http://cafeforensic.com/tech/s/k/PWM" title="PWM" target="_blank">PWM</a></li> <li><a href="http://cafeforensic.com/tech/s/k/汽車電子" title="汽車電子" target="_blank">汽車電子</a></li> <li><a href="http://cafeforensic.com/tech/s/k/轉(zhuǎn)換器" title="轉(zhuǎn)換器" target="_blank">轉(zhuǎn)換器</a></li> <li><a href="http://cafeforensic.com/tech/s/k/電源管理" title="電源管理" target="_blank">電源管理</a></li> <li><a href="http://cafeforensic.com/tech/s/k/信號(hào)放大器" title="信號(hào)放大器" target="_blank">信號(hào)放大器</a></li> </ul> </div>  </div>   <div class="cr18hly" id="imgdiv" style="display:none;position:absolute;border:#ccc 1px solid;width:150px;height:80px;line-height:140%;text-align:left;padding-left:5px;background:#fff;overflow:hidden;"></div>  <div class="npfnovj" id="ad20161025"> <div style="text-align:right; 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