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Yann LeCun – Power & Limits of Deep Learning



The Artificial Intelligence Channel

Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department.

Recorded Nov 1st, 2017

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27 thoughts on “Yann LeCun – Power & Limits of Deep Learning
  1. looking forward to really smart AGI… that will identify main threats to mankind that have t be promptly eliminated: SOCIALISTS (from adolphian national socialists, through all sorts of international socialists like bolsheviks/maoists/polpotians/kimistas/etc…. up to the current main destructive force – neomarxists, cultural marxists, etc.)

  2. I think people learn by a linear combination of all three categories supervised, reinforcement and unsupervised learning. We are told how the world works, we are told what we did right and wrong and we can without anyone's input perceive associations between inputs and outputs. We seem to be able to combine all these.

  3. The general public will be surprised to say the least. Only 16k views as of January 2018! This whole A.I. and machine learning stuff will change everything and more… good times coming, baby! 😀
    We are the first generation of which the A.I. will learn from. Better make sure to be on your best behaviour people. Man's existence may depend on it.

  4. While the Professor has an makes excellent points .. he makes one superior and as yet unsolved major component of AI.. the "Data Warehousing" of information or more importantly the Aggregation and correlation of data into useful information from multiple source.. If you are using a QUERY language, you can only achieve the most basic of AI capability.. Association changes that … https://youtu.be/cU-BD57vRlc

  5. Good speech. But the most annoying part of this video is switching between slides and the speaker. I don't want/need to see his face all the time. I want to see the slides but slides are swapped so quickly and I don't have time to go though the slide which has a lot of useful information. Eventually I took screenshot of the slide and put it on my screen so I can look at it when he is talking about it.

  6. no doubt, terrorist organizations will be re enacting the return of the prophet mohammed in mecca-SOON, at a cinema near you, TNXS to greedy charity orgs funding terrorism

  7. So. Unsupervised Learning of the 1980s is NOT unsupervised learning of today. Actually it should be called predictive learning but most people don't bother the distinction. Thanks for the clarification!

  8. Simpleton Earthlings! can you not figure out how to build intelligent machines? And you want to join Federation!? HA! It took you how many years to invent the wheel?! And when you did you got the color wrong! It took you nearly a million years to discover sliced bread and the magic of foaming cleansers. The universe will die of heat death before you get around to making an AI machine–and then with an IQ of maybe one million, if you're lucky! . go back to hunting and gathering!

  9. If you believe in evolution, you believe in rapid emerging General Artificial Intelligence, wait you are it. I think we will find a way in the coming decades to create a GAI

  10. need help with one confusion. LeCun talks about using Mask R-CNN to detect distinct objects and he says that this is cutting edge. i see the video was recorded on Nov 1st 2017. How is this technology superior to what my phone camera does when it detects faces and guesses (incorrectly) ages of people in the pic? What is the technological leap between the two?

  11. Deep Learning is a great way for terrorists, disgruntled postal workers, and students with test anxiety to program an artificial intelligence suicide-bomber humanoid/robot, drone, airplane, truck or car full of explosives to go blowup a university, airport, governmental installation or their grandmother's house.

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