久久久无码人妻精品无码_6080YYY午夜理论片中无码_性无码专区_无码人妻品一区二区三区精99

Global EditionASIA 中文雙語Fran?ais
China
Home / China / Innovation

Minding over machine: the AI race

By Christopher Davis | China Daily USA | Updated: 2018-04-14 05:24
Share
Share - WeChat

The race for dominance in artificial intelligence is heating up, especially between China and the United States, but as one report says, AI "is still largely shrouded in mystery'', reports Christopher Davis from New York.

It's the hottest thing in technology now, but the co-founder of Google said: "I didn't see it coming, even though I was sitting right there".

"It'' is artificial intelligence – AI.

"I didn't pay attention to it at all, to be perfectly honest," Google's Sergey Brin said in a session at the World Economic Forum's annual meeting in Davos last January.

But now everyone seems to be jumping on the bandwagon, yet many aren't exactly sure where it's going. As Brin said: "What can these things do? We don't really know the limits. It has incredible possibilities. I think it's impossible to forecast accurately."

A recent Boston Consultants-MIT Sloane survey of 3,000 international business executives found that 84 percent think that over the next five years, AI will give them a competitive advantage and 72 percent of respondents from the telecom, media and tech industries said they expect AI to have a significant impact on their business and products.

The catch is, few of them are sure exactly how. As the report says, "The field is still largely shrouded in mystery."

Funding for AI start-ups in the West has been making quantum leaps and bounds — from $4 billion in 2016 to more than $14 billion in 2017. Silicon Valley is awash in AI backing.

In July 2017, China's State Council announced a "New Generation AI Development Plan", setting benchmarks for AI industries and allocating through 2030 a gross output of $151 billion for the core AI industry and $1.5 trillion for related industries. They aim to be No. 1.

Last year, Russian President Vladimir Putin put an ominous spin on AI saying that it raises "colossal opportunities and threats that are difficult to predict now". But Putin did predict that: "The one who becomes the leader in this sphere will be the ruler of the world."

SpaceX/Tesla founder Elon Musk responded with the tweet: "China, Russia, soon all countries w(ith) strong computer science. Competition for AI superiority at national level most likely cause of WW3…"

Finish line

China and the US, the recognized leaders in the field, are locked in a race to the finish line, whatever that finish line may be.

A recent study from Oxford University's Future of Humanity Institute gave China a score of 17 for its overall capacity to develop AI technologies; the US scored 33.

Of the main drivers of AI development — hardware, research, talented scientists and their algorithms and raw data — China trails the US in all but data, and that, with more than a billion smartphone users and 750 million internet users, it has a mountain of.

Combined with strong government support, aggressive recruitment of talent and development of chips, China looks to close the gap fast.

But where it is all heading remains anyone's guess.

Before he died recently, physicist Stephen Hawking warned that the emergence of AI — computers that "can, in theory, emulate human intelligence, and exceed it" — could be the "worst event in the history of our civilization", if we don't find a way to control it.

Heavyweight scholars and tech leaders are forming groups in places like the Harvard Kennedy School of Government's Future Society and the Max Tegmark Future of Life Institute to envision ways to protect mankind from a menace that seems to loom but remains elusive.

The highest profile cabal is probably the handsomely endowed non-profit OpenAI, founded in 2015 by — who else? — guru of the future Elon Musk (who has since had to recuse himself over possible conflicts with his car company). The group's list of board members still reads like a Who's Who of Silicon Celebs.

Human extension

In its mission statement, OpenAI says it believes "AI should be an extension of individual human wills."

The statement goes on to say: "It's hard to fathom how much human-level AI could benefit society, and it's equally hard to imagine how much it could damage society if built or used incorrectly."

Now, three years later, OpenAI's policy and ethics advisor Michael Page told a reporter with futurism.com about his job of looking at "the long-term policy implications of advanced AI."

"I want to figure out what we can do today, if anything," he said. "It could be that the future is so uncertain there's nothing we can do."

Protecting the future means predicting the future, and no one is there yet.

One of the big problems with AI is that the term is increasingly thrown around to embrace just about anything that happens in the digital universe. Youtube picks your next video, the hiking boots you were looking at yesterday appear in a banner ad,

"It took me a whole book to describe what AI is and isn't," said Meredith Broussard, an assistant professor at the Arthur L. Carter Journalism Institute at New York University. Her new book, Artificial Unintelligence: How Computers Misunderstand the World (MIT Press), comes out at the end of the month.

"When people talk about artificial intelligence sometimes they mean 'machine learning' and sometimes they mean Hollywood imaginary things like The Terminator," she said. "The confusion comes from the fact that we have this term that has multiple meanings."

Broussard said it comes down to math and data and "machine learning" is a species of computational statistics.

"It turns out that when you have a truly vast amount of data," she said, "you can make really, really good guesses about things using computational methods."

Apparent edge

Here China's edge becomes apparent again. Liu Qingfeng, chairman of speech-recognition software developer at iFlyTek, told the South China Morning Post, "China has the most internet users. And the Chinese government's determination to push the application of AI forward is unmatched in any other country."

"Machine learning" and its offspring "deep learning" are behind most of the stunning headlines that stir excitement about the emerging technology: AI translates news from Chinese to English in real time as well as any bilingually fluent human can. Computer teaches itself to distinguish cats from dogs. Google uses AI to help the Air Force analyze drone footage.

Google Deep Mind's AlphaGo, having digested a huge data base of expert and amateur Go games, estimates its next best moves and beats the hitherto undefeated world champion three out of four games. But wait.

AlphaZero comes along and teaches itself the game from scratch, exploring just the rules and discovering new ways to beat itself. It then turns around and beats its older brother AlphaGo 100 games to zero.

The machine learning branch of AI turns out to be particularly good at visual tasks, such as picking a face out of a crowd or guessing a person's age, but, as Cambridge educated mathematician David Foster points out, "these are not the kinds of problems that most businesses are trying to solve."

Foster, who co-founded the London-based consultancy Applied Data Science, advises clients on things like predictive models for customer behavior, price optimization and building their own data teams.

Their service, he said in an email, is driven by the three key aspects of any data science project: the business problem to solve, the data that's available and the desired outcome.

AI is getting hyped and he thinks that's not such a good thing: "The label 'AI' itself is beginning to carry the value, rather than the underlying technology. There is a real danger of businesses being sold the 'triple A' technique of AI, without really understanding exactly what is being invested in. And these things don't tend to end well."

The "triple A" sales pitch is a reference to the financial crash of 2008, where top-drawer AAA ratings were given to many securities that turned out to be the complete opposite because nobody really understood what was in them.

Foster thinks there's a parallel to be drawn with AI today, where companies are being sold the dream of AI as a solid investment, without really understanding what technologies and techniques constituent commercial AI today.

"With any kind of gold rush, there are a lot of charlatans," Broussard said. "I would caution people to be very clear about what computers can and can't do, because it's very easy to get carried away with what we imagine what AI might be."

China's recent use of facial recognition technology to spot fugitives in crowds offers a perfect example of the difference between machine learning and AI. Showing the machine thousands and thousands of pairs of faces it becomes better and faster than humans at making a match. That's machine learning.

When the machine makes the decision to make an arrest, that's AI. With something like that, Foster said, "There is a lot more to be wary of and the ethical dilemmas start multiplying." What if the "fugitive" is wrongly arrested, who takes the blame for the error — the programmer? The police? The AI itself?

Not so fast

In her new book, Broussard makes the case that the wild enthusiasm for applying computer technology to every aspect of life has produced a lot of poorly designed and performing systems.

"We are so eager to do everything digitally — hiring, driving, paying bills, even choosing romantic partners — that we have stopped demanding that our technology actually work," she writes.

She has coined the term "technochauvenism" to describe the belief that technology holds the key to everything and warns that "we should never assume that computers always get things right."

Both Broussard and Foster agree that, as the cyborg revolution, where AIs suddenly gain consciousness and enslave mankind, isn't coming anytime soon.

"There's currently as much chance of this happening as your toaster and microwave starting a revolution from your kitchen," Foster said.

Driverless cars are probably the best example of a genuine AI technology that has the potential to affect daily life, according to Foster. There is little doubt that the machine learning underpinning driverless tech is superior to human judgment at keeping a car on the road. But there are other judgment calls that only humans can — or should — make.

Writing in the current issue of the Atlantic about the recent tragic death of a woman hit by an experimental self-driving Uber car, Broussard said, "An overwhelming number of tech people (and investors) seem to want self-driving cars so badly that they are willing to ignore evidence suggesting that self-driving cars could cause as much harm as good."

Again, the blind optimism she calls techochauvenism. "In a self-driving car, death is an unavoidable feature, not a bug," she writes.

China has prioritized developing sensors and positioning technologies for self-driving vehicles and the race to put AI in the driver's seat in Silicon Valley seems to be flat out.

It brings to mind the famous last line of Jack Kerouac's classic On the Road: "Wither, wither, America, in your shiny cars into the night?"

Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
 
久久久无码人妻精品无码_6080YYY午夜理论片中无码_性无码专区_无码人妻品一区二区三区精99

    国产成人艳妇aa视频在线| 狠狠热免费视频| 天堂网在线免费观看| 污污污污污污www网站免费| 日本精品久久久久中文字幕| 6080国产精品| 国产在线青青草| www.激情网| 天天操狠狠操夜夜操| 99爱视频在线| 欧美交换配乱吟粗大25p| 欧美午夜性生活| 日韩一级性生活片| 伊人免费视频二| 日韩中文字幕组| 农民人伦一区二区三区| 天天综合五月天| 中文字幕成人在线视频| 久久久免费视频网站| 日韩成人手机在线| 黄色a级三级三级三级| 亚洲欧美另类动漫| 美女av免费在线观看| 男女啪啪免费观看| 青娱乐精品在线| 爱情岛论坛亚洲首页入口章节| 欧美爱爱视频免费看| av影院在线播放| 亚洲欧美一区二区三区不卡| 九色porny自拍| 日日橹狠狠爱欧美超碰| cao在线观看| 国产精品无码免费专区午夜| 青青草影院在线观看| 亚洲精品视频三区| 三级一区二区三区| 奇米影音第四色| 亚洲国产精品毛片av不卡在线| 亚洲人成无码网站久久99热国产| 狠狠噜天天噜日日噜| 7777在线视频| 亚洲激情免费视频| 毛片av在线播放| 国产精品三级一区二区| 波多野结衣av一区二区全免费观看| 五月天色婷婷综合| 黄色一级视频播放| 黄黄视频在线观看| wwwwww欧美| 日本欧美视频在线观看| 亚洲精品无码国产| 无码播放一区二区三区| 精品人妻一区二区三区四区在线| 日本毛片在线免费观看| 免费裸体美女网站| 高清一区在线观看| 爽爽爽在线观看| 色91精品久久久久久久久| 欧美亚洲精品一区二区| 日韩一级特黄毛片| 4444在线观看| 日韩a级黄色片| 国产乱子伦精品视频| 日本精品福利视频| 路边理发店露脸熟妇泻火| 大胆欧美熟妇xx| 欧美日韩dvd| 亚洲精品少妇一区二区| 免费极品av一视觉盛宴| 996这里只有精品| 蜜桃视频一区二区在线观看| 成人区一区二区| www.亚洲成人网| 黄页网站在线观看视频| 国产免费xxx| 日韩xxxx视频| 亚洲熟女乱色一区二区三区| 亚洲乱码中文字幕久久孕妇黑人| 免费在线激情视频| 久久久久久久久久福利| 91av俱乐部| 日本 片 成人 在线| 婷婷免费在线观看| 99999精品| 老司机激情视频| 成人高清dvd| 一二三四视频社区在线| 久久九九国产视频| 手机av在线网| 天天综合五月天| 男人的天堂狠狠干| 久久久久久av无码免费网站下载| 激情小视频网站| 国产精品视频一区二区三区四区五区| 免费av网址在线| 北条麻妃av高潮尖叫在线观看| 亚州精品一二三区| 久久av喷吹av高潮av| 国产日韩亚洲欧美在线| 免费黄色福利视频| 手机av在线网| 国内少妇毛片视频| 国产精品久久中文字幕| 亚洲第一色av| 青青草精品视频在线| 天堂社区在线视频| 国产91porn| 50路60路老熟妇啪啪| 一级黄色大片儿| 免费 成 人 黄 色| 三上悠亚av一区二区三区| 色偷偷中文字幕| 精品国产成人av在线免| 午夜免费视频网站| 阿v天堂2017| 91亚洲精品久久久蜜桃借种| 97免费视频观看| 牛夜精品久久久久久久| 精品日韩在线播放| 国产精品视频一区二区三区四区五区 | 亚欧美一区二区三区| 亚洲不卡中文字幕无码| 亚洲欧美日本一区二区三区| 免费看欧美一级片| 天天色综合社区| 亚洲精品久久久久久久蜜桃臀| 日本中文字幕高清| 永久免费网站视频在线观看| 国模吧无码一区二区三区 | 可以免费在线看黄的网站| 色噜噜狠狠永久免费| 欧美 日韩 亚洲 一区| 99国产精品久久久久久| 噜噜噜久久亚洲精品国产品麻豆| 中文字幕丰满乱码| 免费在线观看亚洲视频| 欧美日韩在线免费观看视频| 久草精品在线播放| 精品人妻大屁股白浆无码| 樱花草www在线| 宅男噜噜噜66国产免费观看| 日韩精品在线视频免费观看| 中文字幕日韩综合| 日韩欧美xxxx| 国产精品成人久久电影| 26uuu成人| 久久无码高潮喷水| 日韩在线一级片| 91国在线高清视频| 亚洲无在线观看| 亚洲乱码国产一区三区| 国产精品专区在线| 成人午夜免费在线视频| 亚洲天堂一区二区在线观看| 少妇一级淫免费播放| 91小视频网站| 国产又黄又猛视频| koreanbj精品视频一区| 337p亚洲精品色噜噜狠狠p| 国产农村妇女精品久久| 成人性生交免费看| 国产自偷自偷免费一区| 国产免费黄色av| 亚洲爆乳无码专区| 日本免费黄视频| 妞干网在线视频观看| 欧美这里只有精品| 男人日女人的bb| 国产美女视频免费| 成年人黄色在线观看| 在线观看亚洲色图| 欧美性猛交xxxx乱大交91| 中文字幕第17页| 九九热免费在线观看| 九色porny自拍| 黄色片视频在线| 在线观看免费污视频| 国产一级不卡毛片| 九九热精品在线播放| 视频在线观看免费高清| 亚洲这里只有精品| 亚洲精品20p| 天天色天天综合网| www.久久com| 日韩中文字幕亚洲精品欧美| 久久久久亚洲av无码专区喷水| 精品91一区二区三区| 老司机激情视频| 男的插女的下面视频| 欧美日韩性生活片| 欧美日韩中文在线视频| 青青青国产在线视频| 人人爽人人爽av| 亚洲五码在线观看视频| 又大又硬又爽免费视频| 黄色大片在线免费看| 国产真实乱子伦| 日本不卡一区二区在线观看| 粉色视频免费看| 日本熟妇人妻xxxx|