Well deserved!
Imagenet challenge and 2012 has been an inflection point but few have slogged through the AI winter and made it through to the other side.
Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
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Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#12For a more balanced view of the history of deep learning see Schmidhuber‘s review http://people.idsia.ch/~juergen/deep-learning-overview.html and http://people.idsia.ch/~juergen/who-invented-backpropagation... .
No invention occurs in a vacuum, most creations are recombinant effects.The pieces of the puzzle might very well have existed, but Hinton deservedly receives credit for putting the various pieces together for backprop IMHO.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#13I have the feeling this got so many upvotes because people think this is related to the turing test. And that we have a chatbot now that can trick the average person into thinking it's a human. It's not. It's about some incremental progress in making neuronal networks classify stuff.
Maybe for the general public, but I'm sure the HN audience knows much better given the amount of people who studied computer science or are in tech.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#14Geoffrey Hinton's tech-talk in 2007 (!) at Google is a great watch (with a heavy dose of technical jargon [0] plus some dry British humour interlaced throughout). He explains digit recognition (vs SVM) [1], document classification (vs LSH), and breifly summarises image classification [2] problems and how they were solved: https://youtu.be/AyzOUbkUf3M
You could instantly see the results he presents were way better than what was state of the art at that time. Amazing.
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[0] Grant Sanderson (3Blue1Brown) started a youtube-series covering Neural Networks (4 episodes, so far) that helps gain an intuitive grasp on the topic: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_6700...
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#15I have the feeling this got so many upvotes because people think this is related to the turing test. And that we have a chatbot now that can trick the average person into thinking it's a human. It's not. It's about some incremental progress in making neuronal networks classify stuff.
Maybe elsewhere, but I'm quite certain that the HN crowd did not confuse the two, or even think about linking it with chatbots.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#16Earlier quoted context omitted.
Pretty sure the Turing award is at least as well known as the Turing test.
"Pretty sure" how? Google trends seems to indicate the opposite. https://trends.google.com/trends/explore?q=turing%20award,tu... But it's not about "well known" anyhow. It's about significance. A turing test winning chat bot would be a much bigger breakthrough then an incremental improvement in image and text classification.
Depends with what bias you want to read the data.
It could mean no one needs to Google turing award because everyone knows what it is and don't know what the Turing test is.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#17I have the feeling this got so many upvotes because people think this is related to the turing test. And that we have a chatbot now that can trick the average person into thinking it's a human. It's not. It's about some incremental progress in making neuronal networks classify stuff.
Your downvotes seem to indicate that this is not true.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#18I think NVidia deserves part of the award, as they have been a major factor in the progress of NNs.
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#19Well deserved! Imagenet challenge and 2012 has been an inflection point but few have slogged through the AI winter and made it through to the other side.
was this the year Relu became mainstream? the paper itself was out there few years before too right
Re: Yann LeCun, Geoffrey Hinton and Yoshua Bengio win Turing Award
#20Well deserved! Imagenet challenge and 2012 has been an inflection point but few have slogged through the AI winter and made it through to the other side.
was this the year Relu became mainstream? the paper itself was out there few years before too right
I believe he's mentioning this:
> On 30 September 2012, a convolutional neural network (CNN) called AlexNet achieved a top-5 error of 15.3% in the ImageNet 2012 Challenge, more than 10.8 percentage points lower than that of the runner up. This was made feasible due to the utilization of Graphics processing units (GPUs) during training, an essential ingredient of the deep learning revolution. According to The Economist, "Suddenly people started to pay attention, not just within the AI community but across the technology industry as a whole."