最近,我在「TIME時代」雜志的專欄文章裡,向全球的讀者介紹了大陸「世界工廠」的+AI自動化升級。隨著勞動力成本的上漲,工業自動化、智慧化勢必是大陸製造業的一劑特效藥。自動化能讓運營成本下降,但仍能讓中國大陸保持生產品質、流程、供應鏈維度的優勢。AI賦能產業升級的願景或許還需多年才能實現,但當下的大陸已經讓未來可期。
以下是專欄文章全文,經TIME授權翻譯轉載:
「中國世界工廠 + AI 的未來」
多年來,中國大陸一直被喻為「世界工廠」,即便在全球其他經濟體紛紛遭遇新冠疫情重擊的2020年,大陸製造產業仍然維持穩健的增長范式,全年產值高達3.854萬億美元,占到全球市場近三分之一。
但如果你腦中的大陸工廠是傳統的「血汗工廠」,是時候修正你的刻板印象了。大陸經濟已經迅速地從疫情衝擊下復蘇,疫情同時催化了各種各樣人工智慧(AI)的應用場景加速實現。自2014年以來,中國大陸的AI專利申請量已經超越美國,至今維持全球領先。在學術領域,中國大陸的AI研究論文發表數量、AI期刊的引用量,也雙雙在近年超過了美國。在產業方面,AI應用在大陸的落地速度超越世界其他國家和地區,具有商業價值的AI應用如今開始百花齊放,整合了軟體、硬體和機器人技術的新一代自動化揭開序曲,AI賦能傳統行業的能量,正在蓄勢待發地重塑各行各業。
人類社會至今經歷了三次不同的工業革命:蒸汽革命、電力革命和資訊革命。我相信,AI將會是推動全球第四次工業革命的核心引擎,在世界各地點燃數位化和自動化的變革,而這波前所未有的硬科技浪潮,將由中國來引領實踐。
由於勞動人口減少和新增人口放緩,中國大陸的傳統產業正面臨著勞動力成本上升的巨大壓力,AI正是解決這個難題的技術解答。人工智慧不僅能夠降低運營成本,提高生產效率,擴大整體產能,還有望能帶來收入的增長。
例如,創新工場投資的廣州極飛科技是一家致力於未來農業的AI科技公司,極飛將無人機、機器人和感測器部署在稻田、麥田和棉花田裡,用技術賦能農業中的播種、農藥噴灑、栽種管理、甚至天氣監測環節。用於作物噴灑的極飛科技R150農業無人車已經被推廣到了英國,應用在蘋果、草莓、黑莓等多種經濟作物的種植流程中。
一些大陸的創新公司正積極把機器人拓展到意想不到的場景。總部位於北京的鎂伽是創新工場投資的生命科學智慧自動化公司,他們和實驗室、製藥公司、高校合作,憑藉AI+機器人技術的積累,用自動化解決方案執行實驗室中勞動密集、重複性高、但需要高度精確的任務和流程,同時機器人作業也將盡最大可能保護實驗室人員降低實驗過程中的感染風險。
除了創業公司,我們看到幾家成熟的龍頭企業也開始積極擁抱AI。創新工場參與了有28年歷史的中力電動叉車,這家頭部的鋰電叉車製造商已經推出了能夠在工廠、倉庫自主運行的無人叉車,並且無需對運行環境進行改造,能快速實現從手動到電動到自動駕駛的搬運賦能創新。此外,擁有50多年歷史的領先客車製造商-宇通集團,與自動駕駛獨角獸企業-文遠知行戰略合作,已在大陸三個城市的馬路上運行全無人駕駛小巴。
接著會發生什麼?我大膽預見,在更長遠的未來,機器人和AI將接管大多數產品的製造、設計、交付甚至營銷——很可能將生產成本降低到和原物料成本相差無幾。未來的機器人有能力自我複製和自我修復,甚至做到部分自我反覆運算設計。房屋和公寓將交由AI主導設計,使用預製建築模塊,交由機器人像搭積木似地築樓蓋房。無人公交、無人摩托等隨傳隨到的自動化未來交通系統,能將我們安全無虞地送達想去的地方。
這些願景成為現實或許還需要多年,但此時的大陸正在積極鋪墊引領新一代自動化革命的基石。可期的是,中國工廠的實力將不僅僅體現在產能上,而將逐步彰顯在智慧上。
本文經「TIME時代」授權進行中文編譯,原文如下:
China Is Still the World's Factory — And It's Designing the Future With AI
BY KAI-FU LEE
For many years now, China has been the world’s factory. Even in 2020, as other economies struggled with the effects of the pandemic, China’s manufacturing output was $3.854 trillion, up from the previous year, accounting for nearly a third of the global market.
But if you are still thinking of China’s factories as sweatshops, it’s probably time to change your perception. The Chinese economic recovery from its short-lived pandemic blip has been boosted by its world-beating adoption of artificial intelligence (AI). After overtaking the U.S. in 2014, China now has a significant lead over the rest of the world in AI patent applications. In academia, China recently surpassed the U.S. in the number of both AI research publications and journal citations. Commercial applications are flourishing: a new wave of automation and AI infusion is crashing across a swath of sectors, combining software, hardware and robotics.
As a society, we have experienced three distinct industrial revolutions: steam power, electricity and information technology. I believe AI is the engine fueling the fourth industrial revolution globally, digitizing and automating everywhere. China is at the forefront in manifesting this unprecedented change.
Chinese traditional industries are confronting rising labor costs thanks to a declining working population and slowing population growth. The answer is AI, which reduces operational costs, enhances efficiency and productivity, and generates revenue growth.
For example, Guangzhou-based agricultural-technology company XAG, a Sinovation Ventures portfolio company, is sending drones, robots and sensors to rice, wheat and cotton fields, automating seeding, pesticide spraying, crop development and weather monitoring. XAG’s R150 autonomous vehicle, which sprays crops, has recently been deployed in the U.K. to be used on apples, strawberries and blackberries.
Some companies are rolling out robots in new and unexpected sectors. MegaRobo, a Beijing-based life-science automation company also backed by Sinovation Ventures, designs AI and robots to safely perform repetitive and precise laboratory work in universities, pharmaceutical companies and more, reducing to zero the infection risk to lab workers.
It’s not just startups; established market leaders are also leaning into AI. EP Equipment, a manufacturer of lithium-powered warehouse forklifts founded in Hangzhou 28 years ago, has with Sinovation Ventures’ backing launched autonomous models that are able to maneuver themselves in factories and on warehouse floors. Additionally Yutong Group, a leading bus manufacturer with over 50 years’ history, already has a driverless Mini Robobus on the streets of three cities in partnership with autonomous vehicle unicorn WeRide.
Where is all this headed? I can foresee a time when robots and AI will take over the manufacturing, design, delivery and even marketing of most goods—potentially reducing costs to a small increment over the cost of materials. Robots will become self-replicating, self-repairing and even partially self-designing. Houses and apartment buildings will be designed by AI and use prefabricated modules that robots put together like toy blocks. And just-in-time autonomous public transportation, from robo-buses to robo-scooters, will take us anywhere we want to go.
It will be years before these visions of the future enter the mainstream. But China is laying the groundwork right now, setting itself up to be a leader not only in how much it manufactures, but also in how intelligently it does it.
Source:https://time.com/6084158/china-ai-factory-future/
同時也有10000部Youtube影片,追蹤數超過2,910的網紅コバにゃんチャンネル,也在其Youtube影片中提到,...
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【企業工作坊x題目介紹|台灣美光】
大家期待已久的賽前工作坊,這次輪到誰了呢?
答案就是—台灣美光 🎉 🎉
有興趣的同學和梅竹黑客松的參賽者
可不能錯過這個了解企業與學習技術的機會喔!
美光科技(Micron Technology, Inc.)是全球前三大記憶體製造商
總部設立於美國,並於台灣、日本、歐洲等地設有研發設計或製造據點
主要產品包括DRAM、NAND快閃記憶體、CMOS影像感測器與其它半導體元件和記憶體模組
📍本次台灣美光黑客松的題目如下:
❝
The covid-19 pandemic changes how we work today in the factory. For mitigating the pandemic, many companies are forced to let employees work from home(WFH). The WFH may become a normal working model in the factory.
Please provide "a minimum viable product" to support WFH in order to keep
⚫ Productivity
⚫ Efficiency
⚫ Collaboration
⚫ Team work
⚫ And the security as well
What functions we need for WFH?
⚫ Video conference
⚫ Instance Message (Communication tool)
⚫ Tasks tracking/meeting minutes
⚫ White board
⚫ Other creative functions will be plus
Do not need to cover all functions, just cover as possible as you can.
You can use any existing open source resources.
Micron WFH experience during the pandemic
⚫ Micron employees: > 7000
⚫ WFH maximum employees: > 2000
⚫ Work hours: 8:00-17:00
⚫ Meeting
• Count: 2~4/day
• Period: 1~2 hours/meeting
• Attendee: 2~hundreds. Global meeting: even thousands
• Time zone: Taiwan, USA(Boise), Japan, India, Singapore...
• Language: English, Chinese
In Micron, we use VPN/Remote Desktop/Online meeting to support team members WFH. But team member may feel isolation and separation because lack of face to face contact. Therefore, we need creative ways to let team members have the same feeling even better when WFH comparing work on site.
We are looking forward you can provide such kind of creative ways to Micron.
The feedback for WFH:
⚫ How to resolve system issues quickly when WFH?
⚫ Working hour is longer due to not easy to distinguish between office and home
⚫ How does team member know colleague is working or not?
⚫ How to improve the isolation and separation feeling?
❞
📍台灣美光賽前工作坊流程:
第一節 (50mins)
工作坊會帶您了解美光公司內部,在輔助員工每日工作時所需使用到的工具。
例如:在家如何遠端進入公司網域辦公、如何開線上會議、保留會議記錄、代辦事項的追蹤、同仁之間溝通方式等。
第二節(50mins)
關於資安:
a.在家辦公時,如何透過驗證方式進入公司網域辦公
b.員工郵件、網頁瀏覽等須注意事項
c.廠區內對資安保護的規範。
美光人事物:
a.我們的員工來自世界各地,除了中文,也得同時考慮英文介面的設計
b.認識IT部門的一天工作流程
c.跨部門的合作。
真實案例分享:
a.遠距辦公遇到系統問題時的解決辦法
b.收到員工對於遠距辦公的抱怨內容
c.美光已實行過”讓員工有更棒的WFH體驗”作法大公開。
第三節 (20mins)
Q&A
🔽現在就來報名梅竹黑客松和賽前工作坊吧🔽
https://signup.meichuhackathon.org/
(建議使用電腦瀏覽網站)
---------------------------------
〔合作企業〕 LINE、羅技電子、台灣美光、意法半導體、Girls in Tech
〔贊助企業〕 AWS、曉數碼、國泰金控、Google、中華電信、原相科技、PChome、104資訊科技、Nokia
work efficiency中文 在 小米麻糬愛旅遊(Showme100 Love Travel) Facebook 的精選貼文
請把這篇“#是台灣發明武漢肺炎病毒快篩縮短為15分鐘檢測”英文版,分享出去!!台灣不是中國的一部份.
#Wuhancoronavirus made in China!!
Taiwan is an Independent country!!
#台灣是個主權獨立的國家!
Taiwan is not a part of China!
#台灣不是中國大陸的一部份!
👉English version
https://www.taiwannews.com.tw/en/news/3893301
Taipei, March 8 (CNA)
Taiwan's Academic Sinica(中央研究院) has synthesized monoclonal antibodies that are able to identify the protein of SARS-CoV-2, the virus that causes coronavirus disease 2019 (COVID-19), an important step in the direction of producing a rapid screening reagent for the fast spreading pathogenic virus.
The potential reagent, if successfully mass produced in the future, will shorten the test for the new coronavirus from about 4 hours to 15-20 minutes, significantly improving screening efficiency, the top academic research institution in the nation said in a statement on Sunday.
Yang An-suei (楊安綏), an Academic Sinica research fellow at the Genomics Research Center who heads the research team that achieved the synthesis, said the key for rapid screening to work lies in the relevant reagent being able to identify the new coronavirus accurately.
In just 19 days, the team produced 46 monoclonal antibodies, each at least one milligram in size, based on seven human coronavirus nucleocapsid protein antigens, according to Yang.
He said one of the antibodies demonstrates "perfect" efficiency in identifying the new coronavirus because it does not react to other members of the coronavirus family, including those that cause Severe Acute Respiratory Syndrome (SARS), Middle East Respiratory Syndrome (MERS), or other respiratory diseases.
Academia Sinica President James Liao (中央研究院院長廖俊智) said the data will be placed on the COVID-19 platform the institution built to share information with domestic academic and science research institutes, to speed up the development of rapid screening kits, drugs and vaccines to combat the deadly epidemic.
Yang's team "achieved the goal two months ahead of schedule," Liao said.
Assisted by the Ministry of Economic Affairs, the research team will hold talks with several companies about the production of rapid screening kits based on its research results, according to Academic Sinica.
If everything goes smoothly, mass production could begin soon after the Ministry of Health and Welfare verifies and approves the reagent, within the next 3-4 months, the institution said.
There have been more than 100,000 confirmed COVID-19 cases in over 80 countries and areas, including Taiwan, with 3,000-plus deaths, since the disease was first reported in Wuhan, Hubei Province, China last December.
(By Chang Hsiung-feng and Elizabeth Hsu)
Enditem/AW
👉中文版
台北3月8日(CNA)中央研究院(Taiwan's Academic Sinica)已合成單克隆抗體,能夠鑑定SARS-CoV-2的蛋白質,SARS-CoV-2的病毒會導致2019年的冠狀病毒病(COVID-19),這是朝著生產SARS-CoV-2邁出的重要一步快速傳播病原病毒的快速篩選試劑。
台灣頂級學術研究機構週日在一份聲明中說,這種潛在的試劑如果能夠在未來成功量產,它將把新的冠狀病毒的檢測時間從約4小時縮短至15-20分鐘,從而大大提高篩選效率。
負責完成合成的研究團隊的基因組學研究中心的中央研究院研究員楊安-(Yang An-suei)表示,快速篩選工作的關鍵在於能夠識別新冠狀病毒的相關試劑準確。
Yang說,在短短的19天之內,該團隊就基於7種人類冠狀病毒核衣殼蛋白抗原產生了46種單克隆抗體,每個抗體大小至少為1毫克。
他說,其中一種抗體在識別新的冠狀病毒方面表現出“完美”的效率,因為它不與冠狀病毒家族的其他成員發生反應,包括那些引起嚴重急性呼吸系統綜合症(SARS),中東呼吸系統綜合症(MERS)或其他呼吸系統疾病。
台灣的中央研究院院長廖俊智(James Liao)表示,數據將放置在COVID-19平台上,該平台旨在與國內學術和科研機構共享信息,以加快開發快速篩查試劑盒,藥物和疫苗的能力,致命的流行病。
廖說,楊的團隊“比原計劃提前兩個月實現了目標。”
根據經濟部(Ministry of Economic Affairs)的說法,該研究團隊將在經濟部的協助下,與幾家公司就其快速篩查試劑盒的生產進行談判。
如果一切順利,在衛生署(Ministry of Health)
確認並批准該試劑後不久,便可以開始大規模生產,時間為3-4個月。
自從去年12月在中國湖北省武漢首次報導該疾病以來,在包括台灣在內的80多個國家和地區,已有超過100,000例確診的COVID-19病例,導致3,000多人死亡。
👉更多相關中文報導
https://www.facebook.com/148395741852581/posts/4177706278921487/
👉發現武漢肺炎篩檢關鍵 中研院:完全與中國無關
https://www.cna.com.tw/news/ahel/202003090048.aspx
work efficiency中文 在 [中文解说][Lecture 2] Ch2.10 Understanding Work, Energy ... 的推薦與評價
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