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就創(chuàng)新而言，美國(guó)依然領(lǐng)先于全球各大競(jìng)爭(zhēng)對(duì)手,，但對(duì)于時(shí)常被人們看作是新理念搖籃的美國(guó)各大高校來(lái)說(shuō),，它們有理由為未來(lái)感到擔(dān)心。

這一點(diǎn)在5G電話網(wǎng)絡(luò)和人工智能領(lǐng)域尤為突出,。無(wú)獨(dú)有偶,，唐納德·特朗普總統(tǒng)最近一直強(qiáng)調(diào)美國(guó)必須在這些領(lǐng)域一馬當(dāng)先，但亞洲，尤其是中國(guó),，已經(jīng)在這些領(lǐng)域迎頭趕上,。

研究公司GreyB Services稱(chēng)，中國(guó),、韓國(guó)及中國(guó)臺(tái)灣地區(qū)的大學(xué)在無(wú)線通信領(lǐng)域的專(zhuān)利比其美國(guó)同僚更多,。位于日內(nèi)瓦的世界知識(shí)產(chǎn)權(quán)組織稱(chēng)，在人工智能領(lǐng)域排名前20的大學(xué)和公共研究機(jī)構(gòu)中,，有17家位于中國(guó),，而且中國(guó)科學(xué)院在榜單中排名第一?？偟膩?lái)說(shuō),，美國(guó)大學(xué)依然是專(zhuān)利榜的老大，加州大學(xué)和麻省理工學(xué)院則處于榜首,。

大學(xué)在研究工作的生態(tài)系統(tǒng)中有著特殊的地位,。

企業(yè)實(shí)驗(yàn)室更傾向于關(guān)注的是，自己所確立的研發(fā)內(nèi)容能夠?yàn)槠鋷?lái)利潤(rùn),，但政府實(shí)驗(yàn)室卻將國(guó)家安全放在首位,。各所大學(xué)都在培養(yǎng)未來(lái)的科學(xué)家，而且也都是一些“天馬行空”理念的孵化器,，事實(shí)證明,，其中的一些理念顛覆了整個(gè)行業(yè)和社會(huì)。案例包括谷歌的搜索引擎,、支撐整個(gè)基因修改療法的DNA科技,。還有蜜脆的蘋(píng)果。

十多年來(lái),，政府給大學(xué)提供的資助金金額一直沒(méi)有什么變化,。考慮到實(shí)際因素,，這意味著撥款額度反而有所下降,，而且占經(jīng)濟(jì)的比例也在減小。

大學(xué)技術(shù)經(jīng)理人協(xié)會(huì)的負(fù)責(zé)人史蒂芬·蘇薩爾卡說(shuō)：“看看聯(lián)邦撥款就知道,，事實(shí)上它們并沒(méi)有發(fā)生太大的變化,。其他的國(guó)家都在迎頭趕上。我們不能一直吃老本,?！贝髮W(xué)技術(shù)經(jīng)理人協(xié)會(huì)是一家技術(shù)轉(zhuǎn)讓協(xié)會(huì)，其成員包括800家大學(xué),。

2017財(cái)年用于大學(xué)研發(fā)的聯(lián)邦資助金為400億美元,，略低于6年前的峰值,。各大高校每年的總花費(fèi)額約為750億美元，其中的差額大部分來(lái)自于學(xué)校的自有資金,。政府撥款所占的比例已經(jīng)從2004年的近70%下滑至60%以下,。

特朗普宣稱(chēng)，人工智能和5G將成為重點(diǎn)項(xiàng)目,，但他卻沒(méi)有向國(guó)會(huì)申請(qǐng)更多的資金,。事實(shí)上，美國(guó)政府去年便呼吁對(duì)研究資金進(jìn)行大幅削減,，包括削減美國(guó)國(guó)家科學(xué)基金會(huì)11%的經(jīng)費(fèi)。

國(guó)會(huì)對(duì)此表示反對(duì),，而且通過(guò)了十年以來(lái)最大幅度的漲幅,，將總經(jīng)費(fèi)增至1760多億美元。沒(méi)有人知道最終有多少資金流向了大學(xué),，因?yàn)閾芸盍鞒逃捎跒槠?5天的政府關(guān)門(mén)而中斷,。

超過(guò)半數(shù)的大學(xué)研究聯(lián)邦資助金來(lái)自于美國(guó)衛(wèi)生和人類(lèi)服務(wù)部。這一點(diǎn)在美國(guó)大學(xué)獲得的專(zhuān)利類(lèi)型上得到了體現(xiàn),。知識(shí)產(chǎn)權(quán)管理軟件公司Anaqua稱(chēng),，幾乎四分之三的專(zhuān)利都集中在生命科學(xué)領(lǐng)域，而亞洲大學(xué)的生命科學(xué)專(zhuān)利則不到一半,。

“應(yīng)提供更多的資金”

針對(duì)IT研究的撥款往往源于五角大樓和美國(guó)國(guó)家科學(xué)基金會(huì),，每一家都會(huì)貢獻(xiàn)約13%的大學(xué)研究資助金。

華盛頓信息技術(shù)與創(chuàng)新基金會(huì)的道格·布雷克說(shuō)：“這不是一個(gè)小數(shù)目,，但我認(rèn)為應(yīng)加大資助力度,。”他說(shuō)：“這個(gè)數(shù)字與中國(guó)的支持相比是微不足道的,?！?/p>

這種對(duì)比十分復(fù)雜，因?yàn)閺哪承┓矫鎭?lái)看,，中國(guó)在研發(fā)方面的開(kāi)支已經(jīng)可以與美國(guó)媲美,。

中國(guó)政府還投資了近100所美國(guó)大學(xué)，設(shè)立了孔子學(xué)院,，以弘揚(yáng)中國(guó)語(yǔ)言和文化,。政府問(wèn)責(zé)辦公室稱(chēng)，這些學(xué)校均未獲得直接的美國(guó)聯(lián)邦資助,。

如果要了解全球最大的兩個(gè)經(jīng)濟(jì)體在創(chuàng)新方面的情況以及雙方如何實(shí)現(xiàn)其創(chuàng)新的商業(yè)化,，另一種方式便是調(diào)查知識(shí)產(chǎn)權(quán)使用的付費(fèi)情況，例如專(zhuān)利,、商標(biāo)或版權(quán),。我們?cè)俅慰吹剑绹?guó)依然處于領(lǐng)先地位，但中國(guó)也在迎頭趕上,。

美國(guó)將大學(xué)引入這一流程的做法已經(jīng)得到了廣泛的效仿,。1980年頒布的一項(xiàng)法律允許大學(xué)保留通過(guò)政府資助而獲得的專(zhuān)利。大學(xué)技術(shù)經(jīng)理人協(xié)會(huì)的數(shù)據(jù)顯示,，各大高校在2017年總計(jì)收到了30多億美元的授權(quán)費(fèi),。它們提交了超過(guò)1.5萬(wàn)個(gè)專(zhuān)利申請(qǐng)，并幫助催生了1080家初創(chuàng)公司,。

國(guó)家標(biāo)準(zhǔn)技術(shù)局的負(fù)責(zé)人沃爾特·科潘表示,，該系統(tǒng)正在進(jìn)行升級(jí)，這樣研究便可以更加高效地被企業(yè)使用,。

他說(shuō)：“政府的工作是投資這些高風(fēng)險(xiǎn)的探索性領(lǐng)域,。這對(duì)于美國(guó)競(jìng)爭(zhēng)力來(lái)說(shuō)至關(guān)重要?！?/p>

“喜聞樂(lè)見(jiàn)”

以上也是特朗普在上個(gè)月的行政令中所總結(jié)的內(nèi)容,。這篇2700字的文章并沒(méi)有對(duì)中國(guó)指名道姓，但維持美國(guó)的“經(jīng)濟(jì)和國(guó)家安全”以及保護(hù)其科技免遭“戰(zhàn)略競(jìng)爭(zhēng)對(duì)手的有意收購(gòu)”等措辭則是明確地將矛頭指向了中國(guó),。

文章倒是沒(méi)有過(guò)多地提及資金的事情,。加州大學(xué)伯克利分校主管研究業(yè)務(wù)的副校長(zhǎng)蘭迪·卡茲指出，該?，F(xiàn)有的資金遠(yuǎn)遠(yuǎn)不能滿足高質(zhì)量研究工作的需求,。僅有五分之一被認(rèn)為有價(jià)值的項(xiàng)目最終得到了資助。

這也是為什么特朗普的人工智能發(fā)展命令需要在實(shí)際中進(jìn)行一定的后續(xù)跟蹤的原因,。他說(shuō)：“我們很高興地看到它成為了國(guó)家的一項(xiàng)重要戰(zhàn)略,，但至于國(guó)家能夠?yàn)榇嘶ǘ嗌馘X(qián)，還得看國(guó)會(huì)的意見(jiàn),?！保ㄘ?cái)富中文網(wǎng)）

譯者：馮豐

審校：夏林

The U.S. is still out in front of global rivals when it comes to innovation, but American universities –- where new ideas often percolate –- have reason to look over their shoulder.

That’s especially true for technologies like 5G phone networks and artificial intelligence. They’re exactly the fields where President Donald Trump recently insisted the U.S. has to lead — and also the ones where Asia, especially China, has caught up.

Universities from China, Korea and Taiwan get more patents than their U.S. peers in wireless communications, according to research firm GreyB Services. In AI, 17 of the top 20 universities and public research organizations are in China, with the Chinese Academy of Sciences topping the list, says the World Intellectual Property Organization in Geneva. Overall, American universities still dominate the patent rankings, led by the University of California and Massachusetts Institute of Technology.

There’s a special place for universities in the ecosystem of research.

Corporate labs tend to focus on what they’re fairly sure will be profitable, while their government equivalents put national security first. Universities groom future scientist and can be incubators for pie-in-the-sky ideas –- some of which turn out to be game-changers. The list ranges from Google’s search engine to DNA technology that’s behind a whole industry of gene-manipulating treatments. Plus the Honeycrisp apple.

Government grants to universities have been stagnant for more than a decade, meaning they’ve declined in real terms and as a share of the economy.

“If you look at the federal dollars, they’ve not really changed substantially,’’ says Stephen Susalka, head of AUTM, a technology transfer association whose members include 800 universities. “Other countries are catching up. We can’t sit on our laurels.’’

Federal funding of $40 billion for university research in fiscal 2017 was slightly below its peak six years earlier. The colleges spend about $75 billion a year altogether, with the balance largely coming from their own funds. The government’s share has slipped below 60 percent, from almost 70 percent in 2004.

Trump has proclaimed AI and 5G to be high priorities, but hasn’t pitched Congress for more money. In fact, last year the administration called for deep cuts in research funding, including an 11 percent hit to the National Science Foundation.

Congress balked and instead passed the biggest increase for a decade, bringing the total to more than $176 billion. How much will go to universities remains unclear, because the grant process was interrupted by a 35-day government shutdown.

More than half of federal cash for university research comes from the Department of Health and Human Services. That’s reflected in the types of patents U.S. universities are getting. Almost three quarters are in the life sciences, compared with less than half at Asian universities, according to intellectual property-management software firm Anaqua.

‘Should Be More’

Grants for IT research tend to originate at the Pentagon and the NSF, which each contribute about 13 percent of university funding.

“That’s not nothing,’’ says Doug Brake at the Information Technology & Innovation Foundation in Washington. “But I’d argue there should be more,’’ he says. “It pales in comparison to the type of support the Chinese engage in.’’

Comparisons are tricky, but by some measures China’s spending on research and development now rivals America’s.

The Chinese government also is investing in nearly 100 U.S. universities, which have Confucius Institutes to promote Chinese language and culture. None of those schools receive direct U.S. federal funding, according to the Government Accountability Office .

Another way to look at innovation in the world’s two biggest economies, and how they commercialize it, is to study payments made for the use of intellectual property – like patents, trademarks or copyrights. Here again, the U.S. still holds a lead but China is advancing.

The American way of bringing universities into this process has been widely emulated. A 1980 law allows them to keep patents that stem from government-funded research. Universities received more than $3 billion in gross licensing income in 2017, according to AUTM. They filed more than 15,000 patent applications, and helped create 1,080 start-ups.

Walter Copan, head of the National Institute of Standards and Technology, says the system is being updated so that research can be delivered more efficiently into the hands of business.

The government’s job “is to invest in these high-risk exploratory areas,’’ he says. “This is of critical importance to U.S. competitiveness.’’

‘Great to See’

That’s pretty much what Trump concluded about AI in his executive order last month. China isn’t identified by name in the 2,700-word document. But the references to maintaining America’s “economic and national security,’’ and protecting its tech from “attempted acquisition by strategic competitors,’’ point clearly in that direction.

Money doesn’t get much of a mention, though. At the University of California in Berkeley, there’s significantly more high-quality work going on than there is cash available, says Randy Katz, the vice chancellor for research. Only about one in five proposals deemed to have merit ends up getting funded.

That’s why Trump’s AI order needs some practical follow-up, says Katz. “It’s great to see it’s a national priority,” he says. “It’s up to Congress to see how much money is going to be spent.’’