Future Computers Will Be Radically Different (Analog Computing)

Veritasium
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veritasium science physics
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Future Computers Will Be Radically Different (Analog Computing)

Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog.

Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/

Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org

Moore’s Law was filmed at the Computer History Museum in Mountain View, CA.

Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k

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References:

Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993

Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013

Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65(6), 386-408. – https://ve42.co/Rosenblatt1958

NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958

Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958

Alvinn driving NavLab footage – https://ve42.co/NavLab

Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, (2)1, 305-313. – https://ve42.co/Pomerleau1989

ImageNet website – 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. NeurIPS, (25)1, 1097-1105. – https://ve42.co/AlexNet

Karpathy, A. (2014). Blog post: What I learned from competing against a ConvNet on ImageNet. – https://ve42.co/Karpathy2014

Fick, D. (2018). Blog post: Mythic @ Hot Chips 2018. – https://ve42.co/MythicBlog

Jin, Y. & Lee, B. (2019). 2.2 Basic operations of flash memory. Advances in Computers, 114, 1-69. – https://ve42.co/Jin2019

Demler, M. (2018). Mythic Multiplies in a Flash. The Microprocessor Report. – https://ve42.co/Demler2018

Aspinity (2021). Blog post: 5 Myths About AnalogML. – https://ve42.co/Aspinity

Wright, L. et al. (2022). Deep physical neural networks trained with backpropagation. Nature, 601, 49–555. – https://ve42.co/Wright2022

Waldrop, M. M. (2016). The chips are down for Moore’s law. Nature, 530, 144–147. – https://ve42.co/Waldrop2016

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Written by Derek Muller, Stephen Welch, and Emily Zhang

Filmed by Derek Muller, Petr Lebedev, and Emily Zhang

Animation by Iván Tello, Mike Radjabov, and Stephen Welch

Edited by Derek Muller

Additional video/photos supplied by Getty Images and Pond5

Music from Epidemic Sound

Produced by Derek Muller, Petr Lebedev, and Emily Zhang

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Veritasium

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