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Three Pioneers in Artificial Intelligence Win Turing Award (nytimes.com)

An anonymous reader shares a report: In 2004, Geoffrey Hinton doubled down on his pursuit of a technological idea called a neural network. It was a way for machines to see the world around them, recognize sounds and even understand natural language. But scientists had spent more than 50 years working on the concept of neural networks, and machines couldn't really do any of that. Backed by the Canadian government, Dr. Hinton, a computer science professor at the University of Toronto, organized a new research community with several academics who also tackled the concept. They included Yann LeCun, a professor at New York University, and Yoshua Bengio at the University of Montreal.

On Wednesday, the Association for Computing Machinery, the world's largest society of computing professionals, announced that Drs. Hinton, LeCun and Bengio had won this year's Turing Award for their work on neural networks. The Turing Award, which was introduced in 1966, is often called the Nobel Prize of computing, and it includes a $1 million prize, which the three scientists will share.
More: The Godfathers of the AI Boom Win Computing's Highest Honor; Hinton Says We Need To Start Over; Bengio is Worried About Its Future; and Deep Learning May Need a New Programming Language That's More Flexible Than Python, LeCun Says.

28 comments

  1. Well that's demeaning. by Gravis+Zero · · Score: 4, Funny

    Honestly, these eggheads deserve more than just an award for having passed Turing Test. Scientists are real people too (and they have the Turing Awards to prove it)! ;)

    --
    Anons need not reply. Questions end with a question mark.
    1. Re:Well that's demeaning. by charliemerritt03 · · Score: 1

      >> deserve more than *just* an award

      How about 1/3 Million each AND a few bragging rights?

    2. Re:Well that's demeaning. by Anonymous Coward · · Score: 0

      This award is not for "passing the Turing Test". Inform yourself before shitposting for fuck sake.

    3. Re: Well that's demeaning. by Anonymous Coward · · Score: 0

      What the fuck is "turing test"? Tape reader test? Still testing against an outdated shit for technology? Also test airplanes in snail speed.

    4. Re: Well that's demeaning. by Type44Q · · Score: 1

      whoosh...

    5. Re:Well that's demeaning. by Anonymous Coward · · Score: 0

      These idiots deserver a beating with 2x4s. AIs will bring nothing but bad things for humanity

    6. Re:Well that's demeaning. by cascadingstylesheet · · Score: 1

      Honestly, these eggheads deserve more than just an award for having passed Turing Test. Scientists are real people too (and they have the Turing Awards to prove it)! ;)

      To be fair, we don't know if they passed it, just their creations ;)

    7. Re:Well that's demeaning. by Anonymous Coward · · Score: 0

      Like any tool, AI could be used solely for the good of humanity. But it will instead be used mostly for profit and control. Perhaps you should turn the 2x4s on the one who sold you a stick of wood for $5.

    8. Re:Well that's demeaning. by Anonymous Coward · · Score: 0

      woosh

  2. robo slaves by Anonymous Coward · · Score: 0

    Do not make robots or ai sentient. They're slaves meant to replace humans. Programming them to be like and act like humans is a stupid vain way to play God.

  3. Overhyped self-promoting dickheads by Anonymous Coward · · Score: 0

    http://people.idsia.ch/~juergen/deep-learning-conspiracy.html

  4. As per an archived comment from 2017: by Rick+Schumann · · Score: 1, Redundant

    We do need to stop referring to this stuff as 'Artificial Intelligence', because it isn't. 'Neural Networks', 'Deep Learning Algorithms', and so on, are not really 'intellgence' at all, they're just clever programming. Ambitious marketing people the news media, TV, and movies, they've all got people believing these things are actually human-level intelligent when they're clearly and objectively not, none of these pieces of software can 'think', they're not 'conscious', they don't really make 'decisions', not the way humans do, and most of all they do not have any capacity whatsoever to understand humans, no matter how big or fast the hardware it's running on is, and never will because it is the wrong approach. IF and WHEN we ever truly understand the mechanics of our own minds as a complete working system, not just little tiny parts of it, then we might be able to build real, actual Artificially Intelligent machines. But that day is nowhere NEAR now, we dont' even have the instrumentation to 'see' how a human brain really works. As-is, these machines they inaccurately term 'AI', need to be monitored by a human being at all times just like any other piece of automation software, because it will inevitably screw something up otherwise. Always take the results from these 'expert systems' with a huge grain of salt, filtered through your own actually intellgent, thinking brain, never trust it 100%. When we in reality have something walking around and talking to us like in I, Robot, then I'll change my opinion, but I seriously doubt that will happen in my lifetime -- if ever.

    1. Re:As per an archived comment from 2017: by Anonymous Coward · · Score: 0

      Who honestly cares if it has the title "artificial intelligence?" The point is, computers were not able to effectively perform several kinds of computer vision tasks (object recognition, localization, segmentation) and natural language processing tasks (machine translation, speech recognition) before deep learning, and now they can. Thanks to the work of these scientists. Whether or not that meets your specific definition of "real AI" is irrelevant. Technology can do something it couldn't do before.

    2. Re:As per an archived comment from 2017: by Rick+Schumann · · Score: 1

      They do them poorly and they'll keep doing them poorly because what they've produced is a evolutionary cul-de-sac. Wrong approach! You're fundamentally wrong.

    3. Re:As per an archived comment from 2017: by BlackOverflow · · Score: 1

      Stuff like translating language and driving cars are just following a set of rules, which machines/computers are really good at. But things like understanding the underlying meaning of language, or that the car needs to follow the directions of a cop who is directing traffic are much harder for them. That is the line between just following rules and actual intelligence.

    4. Re:As per an archived comment from 2017: by Anonymous Coward · · Score: 0

      Wrong approach!

      Well then please enlighten us. What is the "right" approach? And how do you know? And why aren't you receiving the Turing award?

    5. Re:As per an archived comment from 2017: by Rick+Schumann · · Score: 2

      'Driving a car' is NOT just following a set of rules unless you like disasters! In the Real World unforseen things happen all the time and the current crop of computer software just isn't up to it because all it *can* do is 'follow rules'; it needs to know when to *break* the rules for safety reasons, and you need an actual *mind* to do that.

    6. Re: As per an archived comment from 2017: by Anonymous Coward · · Score: 0

      "Safety reasons" are by definition a set of rules...literally because "reasons".

    7. Re: As per an archived comment from 2017: by Rick+Schumann · · Score: 1

      You can't program a computer to make a JUDGEMENT CALL as to when to BREAK A RULE, you idiot, it requires a SENTIENT MIND!

  5. 2004? by Anonymous Coward · · Score: 1

    2004? Hinton was doing this stuff WAAAAAAYYYYYYYYYYYY before 2004; more like the 80s. LeCun also, back to the 90s at least.

  6. No true Scotsman fallacy by Anonymous Coward · · Score: 0

    Anything we can 'actually' do is by definition not 'true' AI.

  7. I'll be impressed by Chris+Mattern · · Score: 1

    when the AI wins the Turing Award. I imagine it'll need to pass the Turing Test first.

  8. Lisp bigot patient zero by epine · · Score: 1

    The Spirit of Unlimited Possibilities — 15 March 2019

    In which John Brockman says "I was there, Gandalf."

    Among the reasons we don't hear much about cybernetics today, two are central: First, although The Human Use of Human Beings was considered an important book in its time, it ran counter to the aspirations of many of Wiener's colleagues, including John von Neumann and Claude Shannon, who were interested in the commercialization of the new technologies. Second, computer pioneer John McCarthy disliked Wiener and refused to use Wiener's term "Cybernetics." McCarthy, in turn, coined the term "artificial intelligence" and became a founding father of that field.

    Cybernetics, rather than disappearing, was becoming metabolized into everything, so we no longer saw it as a separate, distinct new discipline. And there it remains, hiding in plain sight.

    This whole language debate hinges on Lisp bigot patient zero. Lisp is the whole enchilada, because John McCarthy says it's so. On the other hand, Wiener's terminology nicely captures the entire spectrum of cognitive processes, from radio to infrared, from ultraviolet to gamma ray. I tend to split the difference by referring to the technological field as "artificial cognition".

    Why is it that Lisp bigots have this terrible knack of perverting language?

    McCarthy : intelligence :: Stallman : freedom

    Neither of these culturally prevalent definitions was entirely credible on day one. Wiener for sure knew that "intelligence" was far, far down the road, just as Stallman's original critics also knew that one man's freedom is another man's viral-license insurgency. I've personally known that "AI" was bogus terminology since the mid-seventies (when I first discovered Asimov), and Brockman has known it since 1965.

    Humankind's big questions — 1 January 2017

    Brockman was also quick to realize that science writing could be effective in taking debates across traditional disciplinary boundaries. As a student at Columbia Business School, he spent his evenings in south Manhattan, where the sub-cultures and artists hung out.

    Brockman recalls: "The artists were all reading science. Robert Rauschenberg turned me on to James Jeans' The Mysterious Universe, and Claes Oldenburg was reading George Gamow's One, Two, Threeââ¦âInfinity."

    But even more influential was a series of dinners organized by John Cage, at which the composer introduced his ideas to young artists.

    Brockman recalls: "Luckily, I was part of the group, and one evening — it must have been in 1965 — Cage said, 'Here, this is for you' and handed me a copy of Cybernetics by Norbert Wiener. Everything I've done since goes back to that moment."

    The actual problem has always been exactly the other way around: it's not that we excessively glorify machines, who are nowhere near doing anything seriously impressive, but that we excessively exalt human intelligence, which does sometimes truly knock our socks off, but much of the time is entirely derivative, and far too often leaves machine cognition smelling like a rose (e.g. every asshole who's ever killed someone by texting while in "control" of a moving automobile).

    What's the IQ required to text while controlling a moving vehicle. 15 points below a cockroach? "A just question, my liege. Late is the hour in which these narcissistic dipshits continue to imperil their fellow man."

    Intelligence is hard work. Humans are lazy. You do the math on just how secure your simian heritage leaves you as we enter into the Great Cyborg Reconciliation with it's innate and ineluctable lazy-dipshit displacement imperative.

  9. Nice post by rowleydaisy · · Score: 1

    Great post students!