Jensen Huang
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Appearances Over Time
Podcast Appearances
You give it a universal function.
It's not F equals ma, just a universal function.
It's a big, huge, deep neural network.
And instead of describing the inside, you give it examples of input and output.
And it figures out the inside.
So you give it input and output, and it figures out the inside.
A universal function approximator.
Today, it could be Newton's equation.
Tomorrow, it could be Maxwell's equation.
It could be Coulomb's law.
It could be thermodynamics equation.
It could be Schrodinger's equation for quantum physics.
And so you could put any, you could have this describe almost anything.
So long as you have the input and the output.
So long as you have the input and the output.
Or it could learn the input and output.
And so we took a step back and we said, hang on a second.
This isn't just for computer vision.
Deep learning could solve any problem.
All the problems that are interesting.