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,...
warehouse robotics 在 ลงทุนแมน Facebook 的精選貼文
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Continue ReadingGlobal House. Giant building materials shop which can be rich. Not confusing. / by investing manly.
If you ask me which big and famous Bangkok construction materials and home decoration shop is in Bangkok.
The answer that I got would be Homepro Thai. Bunthaworn material.
Do you know if you ask this same question to other provinces?
The answer may be another name added. That's ′′ Global House ′′
Did you know that Global House has more than 60 branches across Thailand?
But there is no branch in Bangkok..
How is the story of Global House
Invest man will tell you about it.
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Scenario and Economic Update with Blockdit
Podcasts available on the go
Blockdit.com/download
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Many businesses in Thailand that have grown to earn ten thousand million Baht.
Always start business from Bangkok then expand all over the country.
But this story is not for Global House.
The beginning of Global House is from Mr. Witun Suriyawanakul.
Founder of the company that was born and raised in Roi Et province.
After graduating from Bachelor of Civil Engineering from Khon Kaen University in B.E. 2523
Mr. Witur has opened a construction contractor business in my hometown.
Not long after construction business
I have expanded to open a building material shop called Roi Et Farm.
Roi Et Farm has implemented technology.
Barcode system has been done. Computer restock.
Which is considered very modern in those days.
Soon Roi Et Farm will revolutionize construction materials trade in Roi Et province.
By changing the old shop to modern trade.
I want customers to choose products by themselves like department stores.
After almost 10 years of growing up
Roi Et Farm has expanded to become ′′ Global House ′′ in year. B.E. 2540
Global House. First branch in Roi Et province.
Later, it's expanded to Khon Kaen, Udonthani and Chiang Mai which is the first branch outside the Northeastern
Poor in the year. Prof. 2550 is also registered as a public company.
Titled ′′ Siam Global House Public Company Limited ′′
Global House has a Warehouse Store format.
Well it's like a huge warehouse space
Comprehensive construction materials and home decoration
The highlight is that there are more than 130,000 items to choose from.
And each branch is up to 18,000-32,000 sqm wide.
There is a distribution center at Wangnoi district, Phra Nakhon Si Ayutthaya province.
Automatic warehouse system using robotics. Pick up and storage within 11 layer high inventory.
To provide high efficiency distribution center control
Also in each branch Drive-thru service.
So customers can drive to pick up items from the back of the shop as soon as they buy
Nowadays, Global House has branches across all sectors in Thailand. All 66 branches.
Headquarters in Roi Et Province
And the interesting thing is that there is no branch in Bangkok.
Maybe it's because Global House wants to avoid land or expensive rent in Bangkok.
And want to avoid competition with other people like Home Pro Tai Material
Global House also has 1 branches in Cambodia.
And there is a subsidiary that ventures with SCG Discovery Limited.
It's Holding Company that invests in business, construction materials and home decoration in ASEAN region.
3 years of Siam Global House Public Company Limited
The year of the year. B.E. 2560
Income 21,552 million baht.
Net profit 1,609 million baht
The year of the year. B.E. 2561
Income 26,262 million baht.
Net profit 2,003 million baht
The year of the year. B.E. 2562
Income 29,182 million baht.
Net profit 2,093 million baht
Currently, Siam Global House has a company worth around 70,000 million baht.
The story of Global House gives some idea of doing business.
Let's know that doing business but in other provinces can make huge income.
If you analyze customer demand well, manage systematically.
And like service like Global House
Can be great.
Without stepping in Bangkok for one step..
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Follow to invest manly at
Website - longtunman.com
Blockdit-blockdit.com/longtunman
Facebook-@[113397052526245:274: lngthun mæn]
Twitter - twitter.com/longtunman
Instagram-instagram.com/longtunman
Line - page.line.me/longtunman
YouTube - youtube.com/longtunman
References
- Annual Report 2562 Siam Global House Public Company Limited
-https://www.globalhouse.co.th
-https://thepeople.co/witoon-suriyawanakul-global-house/
-https://forbesthailand.com/news/property/%E0%B8%AA%E0%B8%A2%E0%B8%B2%E0%B8%A1%E0%B9%82%E0%B8%81%E0%B8%A5%E0%B8%9A%E0%B8%AD%E0%B8%A5%E0%B9%80%E0%B8%AE%E0%B9%89%E0%B8%B2%E0%B8%AA%E0%B9%8C-%E0%B8%9B%E0%B8%A3%E0%B8%B0%E0%B8%81%E0%B8%B2.html
-https://www.youtube.com/watch?v=lZU9NPMyNew
-https://www.set.or.th/set/companyprofile.do?symbol=GLOBAL&ssoPageId=4&language=th&country=THTranslated
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【李開復Quartz專文:「人形機器人」將進入千家萬戶是無稽】人工智能時代的到來已經指日可待了。但是目前情感機器人、家庭機器人都離我們很遠。下面是外媒Quartz跟我的約稿:
▲ 機器人能幫著賺錢、省錢、提高生產力,也助人們回歸人性
人工智能時代的到來已經指日可待了。但是目前情感機器人的發展方向有點南轅北轍。
首先,讓我們明確一下人工智能的幾個要點:
人工智能擅長對目標明確的工作進行優化(但是不能創造,沒有感情)。
機械控制的發展速度較人工智能軟件的發展要緩慢得多。
傳感器雖然得到迅猛發展,但價格昂貴、體積偏大且太耗電。
鑒於以上原因,人形機器人將馬上進入千家萬戶的說法,簡直是無稽之談。當機器人在言談舉止各方面都與人類極其相似時,普通家庭用戶對機器人的「人類素質」的期望也會變得高不可攀。僅僅這種期望所帶來的失望就足以讓很多公司的「未來十年讓科幻小說成為現實」的展望受挫,更別提消費市場對價格的苛刻要求了。
機器人的開發要牢記實用性這一原則:機器人或能創造效益,或能節省成本,或能提高生產,或可以提供娛樂。依託現有技術製造的工業機器人將高效製造出其它機器人;商用機器人將會帶來更多經濟收益(例如替代保安、前台和司機等職位);家用機器人將能發揮家用電器和玩具的功能——它們簡單易用且不具備任何「人性素質」。
這樣的機器人未必具備人類外形。工業機器人就是在黑暗廠房(例如富士康最先進的廠房)或者配備了智能升降機倉庫里(例如我們投資的開源機器人Dorabot)從事勞務的機器;商用機器人的形式和用途就更多樣了:它們也許就是一排攝像頭(例如曠視科技的產品),或者是一家自動商店(例如F5未來商店)。自動駕駛車將有車的外形——除了那種低速貨運、功能固定的運輸工具,例如機場鋪設的自動車道,或者從停車場到商店、主題公園的運輸設備(例如UISEE馭勢科技);消費機器人也許會像一個揚聲器(例如亞馬遜的Echo)、一台電視機、一台吸塵器(例如Roomba)、一個教學玩具(例如奇幻工房的Dash Bot)或者一台用於家庭聯繫的平板電腦(例如小魚在家)。
人工智能也會與時俱進嗎?這一點毋庸置疑。聲音識別技術將更精准,電腦視覺技術也會提高,SLAM技術將讓機器人的動作更加流暢,機器人將會翻譯,還會針對限定領域進行對話。機器人也可能會瞭解我們的情緒並能模仿人類的情緒。這種情緒模仿將從搞笑的、娛樂性的發展為一定程度上能產生共鳴的模仿。誠然,這種模仿也都不是自發性的。在未來數十年,機器人還不能獨立進行常識性的推理、創造及規劃工作,它們也不會擁有自我意識、情感及人類的慾望。那種「全知全能人工智能」尚不存在,而且現在已知的開發技術也無法開發出此類機器人。這種技術在未來數十年都不會出現,也許永遠都不會出現。
人形機器人的研發對人工智能科學家充滿了誘惑力,而對人形機器人的預測也順理成章地激發著科幻小說家們的創作靈感。但是我們和人工智能有著本質區別:我們會創造,AI只會在創造的基礎上優化;我們多愁善感,AI冷酷無情;我們具備常識判斷能力,而AI只會從特定領域的大數據獲得信息。一言以蔽之,人類所長正是AI所短,而AI所長也是人類所短。
展望未來,人類最前沿的領域將是創造及社交領域。因此,我們應該推動機器人向它們所擅長的領域發展,例如進行重復性工作、優化工作或者創造財富的實用性工作。而我們人類也應該做一些我們擅長的工作:創新、創造、社交溝通或者娛樂。
我一直倡導要開發一些實用性機器人,鼓勵人們進入服務行業。但我不支持製造「類人」機器人。這種機器人開發難度大,而且永遠無法滿足人們的期望,因此,這種機器人的勝算不大。我分析的正確與否暫且不論,但是有一點我們需要有清晰的認識,那就是,未來十年,AI將大規模地取代那些依靠人力的、重復性的、分析性的崗位。因此,我們要肩負起創造更多社會服務性崗位的職責,而不是空想或謀劃一個充斥著「不適用於人類」職位的社會。
◀英文原文▶
Robots should make money, save money, increase productivity, or deliver entertainment—and let humans be human
Robots should make money, save money, increase productivity, or deliver entertainment—and let humans be human
The age of artificial intelligence (AI) and robotics is upon us, but the current fad of emotional humanoid robots is not headed in the right direction.
First, let’s understand what robotics are based on:
AI algorithms which are very good at optimization of explicitly defined goals (but cannot create, and have no feelings)
Mechanical control which advances much slower than AI software algorithms
Sensors which are rapidly improving but are often still too expensive, too large, or too power-hungry
Given the above, it is ludicrous to think that human-like robots will roam our homes any time soon. When a robot looks like a person, talks like a person, and has features like a person, home users will have unattainable human-capability expectations. The disappointment alone will doom any company hoping to bring science fiction to the living room in the next decade, not to mention the price-sensitivity for consumer markets.
Robotics must begin with utilitarianism in mind—robots should make money, save money, increase productivity, or deliver entertainment. There will be industrial robots that build other robots in high-volume, manufactured with today’s technologies. There will be commercial robots that deliver economic value (such as replacing security, receptionists, and drivers). There will be consumer robots that mimic today’s appliances and toys, requiring no consumer education, and causing no human-capability expectation.
These robots won't look like a person. The industrial robot is a giant factory run in the dark by machines (like at Foxconn’s most advanced factories), or a warehouse with smart forklifts (like our investment Dorabot). The commercial robot comes in various forms and applications. It might look like an array of cameras (like our investment Megvii) or an automated store (like our investment F5 Future Store). The autonomous vehicle will look like a car, except will be first deployed in low-speed, freight, or fixed-function transport—such as in airport autonomous car-only lanes, or in transport from parking garages to shopping malls/theme parks (like our investment UISee). And the consumer robot may look like a speaker (like the Amazon Echo), a TV, a vacuum cleaner (like Roomba), an educational toy (like our investment Wonder Workshop Dash Bot), or a pad-on-steroids for family communications (like our investment Ainemo).
Will AI capabilities increase over time? Of course. Speech recognition will get better, computer vision will improve, SLAM will be improved to help the robot move around fluidly, and the robot will be able to translate languages, or have a dialog within limited domains. The robot may be able to read some of our emotions, or mimic certain human emotions. But this mimicking will go from laughable and entertaining to occasionally acceptable—and generally not genuine. For decades to come, robots by themselves will be unable to learn common sense reasoning, creativity, or planning. They also won't possess the self-awareness, feelings, and desires that humans do. This type of “general AI” does not exists, and there are no known engineering algorithms for it. I don’t expect to see those algorithms for decades, if ever.
Trying to make robots human-like is a natural temptation for robotics and AI scientists, and predicting humanoid robots comes naturally to science fiction writers. But we humans simply think differently from AI. We create and AI optimizes. We love and AI is stoic. We have common sense and AI learns patterns from big data in a singular domain. Simply stated, we are good at what AI is not, and AI is good at what we are not.
In the future, the human edge will be in creativity and social interaction. Therefore, we need to focus robotics development toward what they’re good at: repetitive tasks, optimization, and utilitarian value creation. We should also let people do what they’re good at: innovation, creation, human-to-human interaction, and performing services.
I am an advocate of making utilitarian robots, and encouraging people to go into service jobs. I am not an advocate of making humanoid service robots—it is too hard today, and will not meet people’s expectations; therefore they will likely fail. Whether or not my analysis is correct, we need to be reminded that in the next decade AI will replace a massive number of manual-labor, repetitive, and analytical jobs. We have a human responsibility to help create societal service jobs—not dream or plan a society in which all jobs come with a sign “humans need not apply.”