MIT發(fā)起MIT IQ項(xiàng)目 學(xué)術(shù)界意圖贏回AI領(lǐng)域主動(dòng)權(quán)
麻省理工學(xué)院(MIT)正在啟動(dòng)一項(xiàng)雄心勃勃的項(xiàng)目，該項(xiàng)目涉及該校的數(shù)百名研究人員，旨在了解人類智力，并利用研究成果開發(fā)智能機(jī)器。
The MIT Intelligence Quest or MIT IQ, based at an institution that has been at the forefront of artificial intelligence research since the 1950s, is a far-reaching academic effort to regain the initiative in AI. It comes at a time when the technology industry’s fast-growing research labs threaten to suck the field’s most talented scientists, engineers and ideas away from universities.
麻省理工學(xué)院的MIT IQ項(xiàng)目是學(xué)術(shù)界發(fā)起的一項(xiàng)旨在贏回在人工智能(AI)領(lǐng)域的主動(dòng)權(quán)、意義深遠(yuǎn)的努力。MIT自1950年代以來一直處于AI研究的前沿。該項(xiàng)目推出之際，科技行業(yè)高速發(fā)展的研究實(shí)驗(yàn)室大有從各大學(xué)吸走AI領(lǐng)域最有才華的科學(xué)家、工程師和創(chuàng)意之勢。
“We plan to raise hundreds of millions of dollars from the private and public sectors for this effort,” said Anantha Chandrakasan, MIT dean of engineering. “We are having discussions with a broad set of companies that have shown great enthusiasm for the initiative.”
“我們計(jì)劃從私營和公共部門為該項(xiàng)目籌集數(shù)億美元，”MIT工程學(xué)院院長阿南塔•錢德拉卡山(Anantha Chandrakasan)說，“我們正在與一大批對(duì)此表現(xiàn)出極大熱情的公司進(jìn)行討論。”
MIT professors say that tech companies have acknowledged concerns that they are poaching too many AI experts from universities, where they are needed to teach future scientists and engineers as well as carry out basic research. The industry is responding by increasing academic collaboration and funding.
MIT的教授們表示，科技公司已意識(shí)到了它們從大學(xué)挖走太多AI專家引起的擔(dān)憂。大學(xué)需要這些專家給未來的科學(xué)家和工程師授課，并從事基礎(chǔ)研究?？萍夹袠I(yè)的回應(yīng)是增加學(xué)術(shù)合作和資助。
“Two weeks ago we had a symposium with several Google and Alphabet companies,” said Josh Tenenbaum, professor of cognitive science and computation. “We can see that industry is keen to replenish the well of ideas and people.”
“兩周前，我們與谷歌(Google)等幾家Alphabet旗下公司舉行了一場研討會(huì)，”認(rèn)知科學(xué)和計(jì)算科學(xué)教授喬希•特南鮑姆(Josh Tenenbaum)說，“我們可以看到，該行業(yè)熱衷于補(bǔ)充創(chuàng)意和人才。”
MIT hopes to sign collaborations similar to that announced in September with IBM, in which the computing company agreed to invest $240m in a new MIT-IBM Watson AI Lab.
MIT希望簽署類似于去年9月宣布的與IBM的合作協(xié)議。該協(xié)議顯示，IBM同意投資2.4億美元成立一個(gè)新的MIT-IBM 沃森人工智能實(shí)驗(yàn)室(MIT-IBM Watson AI Lab)。
The MIT IQ programme sets out to answer two big questions, said Rafael Reif, the university’s president: “How does human intelligence work, in engineering terms? And how can we use that deep grasp of human intelligence to build wiser and more useful machines?” MIT IQ 項(xiàng)目旨在回答兩個(gè)重大問題，MIT校長拉斐爾•賴夫(Rafael Reif)說：“從工程學(xué)看，人類智力是如何起作用的?我們?nèi)绾尾拍芾脤?duì)人類智力的深刻理解，制造出更聰明、更有用的機(jī)器?”
It will aim to deliver the answers through two linked entities. The first, called “The Core”, will work on the science and engineering of human and machine intelligence in general. As well as gaining fundamental understanding of how natural and computer brains work, it will generate machine-learning algorithms for more specific applications.
該項(xiàng)目的目標(biāo)是通過兩個(gè)相互聯(lián)系的實(shí)體來找出答案。第一個(gè)實(shí)體被稱為“核心”(The Core)，將在總體上研究人類智力和機(jī)器智能的科學(xué)和工程學(xué)。除了獲得對(duì)自然大腦和計(jì)算機(jī)大腦工作原理的基本理解外，它還將生成針對(duì)更具體用途的機(jī)器學(xué)習(xí)算法。
The second entity, “The Bridge” will apply discoveries in natural and artificial intelligence to a wide variety of disciplines including disease diagnosis, drug discovery, materials and manufacturing design, automation, synthetic biology and finance. Both will collaborate with research labs worldwide.
第二個(gè)實(shí)體“橋”(The Bridge)將把在自然智能和人工智能領(lǐng)域的研究成果，應(yīng)用到包括疾病診斷、藥物發(fā)現(xiàn)、材料和制造設(shè)計(jì)、自動(dòng)化、合成生物學(xué)和金融的廣大領(lǐng)域。這兩個(gè)實(shí)體都將與世界各地的研究實(shí)驗(yàn)室展開合作。
MIT already has more than 200 “principal investigators” (senior scientists) working on aspects of natural and artificial intelligence, said Prof Reif. “We are amplifying this research by providing additional resources and connecting researchers more closely together.”
賴夫教授說，MIT已有200多名“項(xiàng)目負(fù)責(zé)人”(資深科學(xué)家)負(fù)責(zé)自然和人工智能方面的研究。“我們通過提供額外的資源和加強(qiáng)研究人員之間的聯(lián)系，來擴(kuò)大這項(xiàng)研究。”
Prof Tenenbaum said he was looking forward to reproducing in a machine the way human intelligence develops from birth though infancy and childhood. His colleague Dina Katabi, professor of computer science, wants to build an intelligent home for patients with chronic disease, which would constantly monitor their health and predict problems and forestall emergencies before they occur.
特南鮑姆教授說，他期待著在機(jī)器中重現(xiàn)人類智力從出生到嬰兒到兒童的發(fā)展過程。他的同事、計(jì)算機(jī)科學(xué)教授迪娜•卡塔比(Dina Katabi)希望為慢性病患者建立一個(gè)智能之家，它可以持續(xù)監(jiān)測患者的健康狀況，預(yù)測問題，并預(yù)先在病情危急之前采取措施。
Adrian Weller, senior research fellow at the Alan Turing Institute in London, the UK national research centre for AI, said: “We warmly welcome this MIT initiative. AI has made great progress in the last few years but we are still very far from enabling machines to do things that our human brains can do without effort.”
艾德里安•韋勒(Adrian Weller)是英國國家AI研究中心倫敦艾倫•圖靈研究所(Alan Turing Institute)的高級(jí)研究員。他說：“我們熱烈歡迎MIT的這項(xiàng)倡議。在過去幾年里，AI已取得了很大進(jìn)展，但我們還遠(yuǎn)遠(yuǎn)不能讓機(jī)器毫不費(fèi)力地完成我們?nèi)祟惔竽X所能做到的事情。”
He added that he was particularly pleased that, like the Turing Institute, MIT would investigate the social and ethical implications of AI alongside its scientific and technological development. “If we are going to apply AI across society, we need to think hard about the ethical issues.”
他補(bǔ)充說，他特別高興的是，像圖靈研究所一樣，MIT在AI的科學(xué)與技術(shù)發(fā)展之外還將研究它對(duì)社會(huì)與倫理的影響。“如果要把AI應(yīng)用到整個(gè)社會(huì)，那么我們就需要認(rèn)真思考倫理問題。”
