We’re Building Computers Wrong (for artificial intelligence)

Go to https://brilliant.org/Veritasium/ to get going finding out STEM free of cost, and also the initial 200 individuals will certainly obtain 20% off their yearly costs registration. Digital computer systems have actually offered us well for years, however the increase of expert system requires an entirely brand-new sort of computer system: analog.

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Unique many thanks to Patreon advocates: Kelly Snook, TTST, Ross McCawley, Balkrishna Heroor, 65square. com, Chris LaClair, Avi Yashchin, John H. Austin, Jr., OnlineBookClub.org, Dmitry Kuzmichev, Matthew Gonzalez, Eric Sexton, john kiehl, Anton Ragin, Benedikt Heinen, Diffbot, Micah Mangione, MJP, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Dumky, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Michael Schneider, jim buckmaster, Juan Benet, Ruslan Khroma, Robert Blum, Richard Sundvall, Lee Redden, Vincent, Stephen Wilcox, Marinus Kuivenhoven, Clayton Greenwell, Michael Krugman, Cy ‘kkm’ K’Nelson, Sam Lutfi, Ron Neal.

NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Grow as well as check out Wiser (1958 ). The New York Times, p. 25. The New Yorker, p. 45. Blog site blog post: What I found out from contending versus a ConvNet on ImageNet. Breakthroughs in Computers, 114, 1-69.

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Recommendations:.
Crevier, D. (1993 ). AI: The Tumultuous History Of The Search For Artificial Intelligence.
Valiant, L. (2013 ). Possibly Approximately Correct.
Rosenblatt, F. (1958 ). The Perceptron: A Probabilistic Model for Information Storage as well as Organization in the Brain.
NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Grow as well as check out Wiser (1958 ). The New York Times, p. 25.– https://ve42.co/NYT1958.
Mason, H., Stewart, D., as well as Gill, B. (1958 ). The New Yorker, p. 45.
Alvinn driving NavLab video footage– https://ve42.co/NavLab.
Pomerleau, D. (1989 ). ALVINN: An Autonomous Land Vehicle In a Neural Network.
ImageNet internet site– https://ve42.co/ImageNet.
Russakovsky, O., Deng, J. et al. (2015 ). ImageNet Large Scale Visual Recognition Challenge.– https://ve42.co/ImageNetChallenge.
AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012 ). ImageNet Classification with Deep Convolutional Neural Networks.
Karpathy, A. (2014 ). Post: What I gained from completing versus a ConvNet on ImageNet.– https://ve42.co/Karpathy2014.
Fick, D. (2018 ). Post: Mythic @ Hot Chips 2018.– https://ve42.co/MythicBlog.
Jin, Y. & Lee, B. (2019 ). Breakthroughs in Computers, 114, 1-69.
Demler, M. (2018 ). Mythic Multiplies in a Flash.
Aspinity (2021 ). Post: 5 Myths About AnalogML.– https://ve42.co/Aspinity.
Wright, L. et al. (2022 ). Deep physical neural networks educated with backpropagation.
Waldrop, M. M. (2016 ). The chips are down for Moore’s legislation.

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Composed by Derek Muller, Stephen Welch, as well as Emily Zhang.
Recorded by Derek Muller, Petr Lebedev, as well as Emily Zhang.
Computer Animation by Iván Tello, Mike Radjabov, as well as Stephen Welch.
Modified by Derek Muller.
Added video/photos provided by Getty Images and also Pond5.
Songs from Epidemic Sound.
Generated by Derek Muller, Petr Lebedev, as well as Emily Zhang.

Many Thanks to Mike Henry as well as everybody at Mythic for the analog computer scenic tour! https://www.mythic-ai.com/
Many Thanks to Dr. Bernd Ulmann, that produced The Analog Thing and also educated us just how to utilize it. https://the-analog-thing.org
Moore’s Law was shot at the Computer History Museum in Mountain View, CA.
Welch Labs’ ALVINN video clip: https://www.youtube.com/watch?v=H0igiP6Hg1k