Future Computers Will Be Radically Different reviews
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
Tazarul –
Ngl I would buy a Mythic AMP if they were easy to purchase and had known easily useable body tracking compatible with popular vr platforms
john delong –
Quantum analog?
Facundo Pramparo –
This video is so good, but mid-point of it I remembered Quantum computers could do those multiple matrix calculations faster. Would that also be possible? What do you think?
Veronica Logotheti –
They use magnetic waves
Painless kun –
I just wanna say
DAYUM
Barra Libre –
I'm both glad and sad to say that this video explains A.I. better than the 6-month, dedicated course that was imparted at our college…great work as always Derek
LifeofaFigure –
Theoretically, with the artificial neural networks, they would be able to complete CAPTCHAs.
Nautilus1972 –
Nothing radically new has happened in computing since 1983 (Networking), bar Quantum computing, which no one knows anything about anyway.
eleicha –
The bias doesn't determine whether a neural network fires or not. The bias term or bias unit is added to the weighted sum of inputs. The purpose of including a bias term is to shift the activation function of each perceptron to not get a zero value. In other words, if all inputs are 0, the sum is equal to the value of bias. A threshold then determines whether or not the neuron fires. Usually an activation function is also applied to the inputs otherwise we would only have a linear neuron and their capabilities are limited to scaling data and cannot depict real world examples.
Vikramjit Singh –
Investing 20 mins on this channel's video is worth investing a day on something…
Random Dude –
Calling it analog is weird when you’ll need a digital screen to see the computing
Nick –
ARM Soc Like the M1 are the answer,having the Memory on soc boost a lot the the transfer Speed,Energy consuption Is low and performance can be great.
Jacob W –
We need both is likely the answer.
jamcdonald120 –
6 months ago: "The universe is hostile to computers"
now: "Lets switch to even more volatile computer hardware"
Kharil Faiz –
Very well explained, Derek!
sertaki –
"Thinking takes place everywhere, all at once" ….
Michelle Yeoh intensifies
philip mc donagh –
What about an optical computer, not that daft is it ??.
Tom Martens –
So you can then teach a digital computer to do analog calculations and value changes.
B Skit –
Our brains aren't digital, you probably meant discrete but in no case are they firing numbers.
Xy Yx –
I solved the von Neumann problem. To whom to sell for two billion euros?
GallonOfHotdogs –
2:35 how did he say multiplied without moving his mouth?? tf?
Costumekiller –
Proceptar smarter than 21st century college students can tell the difference between men and women 🤣🤣🤣
Richard Peter Shon –
The only reason we were stuck with the inefficient digital and cisc chips was because the government decided to invest into this direction. Back then things were simple and top down. Now the market is bottom up.
Analogue and risc chips will come back. But this knowledge is kept secret.
mentormags –
Well done! Thanks for sharing.
Me Again –
My phone's processor is shaking in it's boots.
BUBBLEGUM GUN –
We are literally copying Gods creatio and this aitheist propagandists buffoon still has the audacity to say god doesn't exist
Amorphic –
Test comment
N Đìn –
Noob
GoingMango –
can i put this chip into my ti 84
Patrick Ramos –
Not much longer now.
gilbert godfrey –
What I want to know is whether the trash that accumulates in our insane MIPS chips, which I have been told is a function of quantum math, can be eliminated with new approaches. Our present technology problem is often addressed by rebooting, hard or soft. Of course, this has nothing to do with the travesty of operating systems which ALL fix something that ain't broke by actually breaking it.
Dame –
But can I mine Bitcoin on it?
aridogg2 –
Comments are fascinating. I'm just stoned but y'all are legit mad scientists
Rajnoor Brar –
In digital system, you calculate
In analog system, you measure
IamBevins –
starting this video watching you make stupid graphs on a basic analog system completely made me think this video was stupid, by the end I completely agreed with your premise. Great video man, a future of digital and analog makes a lot of sense. The comparison to the human brain was a really good idea.
NeXTSTEP Object Oriented Software –
How about ARM chips with unified memory and dedicated neural network accelerators
SadCompilation –
In general it feels like a digital solution is more forced in handling data while analog is all about real computing ^^‘
bunty1583 –
Quantum computers are going to takeover after analogs. Quanta are just way too good.
MisterNiles –
I like that analog thing. Serge synthesizer style patch programming comes to mind
Robert Sabbatino –
Informative and entertaining. Excellent video.
Apna Gadget –
So that said, I see that optical light based processing chips can be achieved by the help of neural ai based Analog chips giving an output of required amplitude of a expected wavelength as an input to the optical light based chips to solve a given solution, and thus, getting instant output as a solution from the light base chip. 🤔 Can we make this I wonder, and what data set would we need to train and configure the analog ai chip I also wonder?
Duong Nguyen –
I'm sure custom digital hardware can be developed which is even more efficient than the analogue chips without any of the drawbacks. These neural engines are already showing in in newer CPUs and GPUs.
Anand Chudavala –
Can an analog computer be used as ASIC miner?
GalderIncarnate –
My brain hurts
Nicolas Bolañez –
Hi, i am from Argentina. Can i suggest a new video about the peopple that are walking berefoot on winter. They are saying that this can t make you sick and it s totally secure.
Wuz2do –
Not only can I walk and chew gum at the same time I can adjust the rate at which I walk or number of chewing cycles per second without one task interfering with the other but I'm still working on my breathing rate so I can do three things at once. Wish me luck and I'll let you know when I achieve this goal.
楊吉蒂 –
Super hope near future analog come back
Kittenz –
if it doesn't run MS WOrd, then it won't run minecraft. No, thank you.
John Winters –
Rosenblatt worked in RLE at MIT. He came on the PDP computer after my time.