Jensen Huang
speaker
5,217 appearances
29 recordings
16 series
first heard Oct 2023
last heard 8 Jun
Jensen Huang’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 26 in all, peaking in Jan 2026 with 6.
Appearances
And so we realized that this architecture for deep neural networks back propagation, the way deep neural networks were created,
we could probably scale this problem, scale the solution to solve many problems that is essentially a universal function approximator.
Meaning back when you're in school, you have a box, inside of it is a function, you give it an input, it gives you an output.
And the reason why I call it a universal function approximator
is that this computer, instead of you describing the function, a function could be a Newton's equation, F equals ma.
That's a function.
You write the function in software, you give it input F, mass, acceleration, it'll tell you to force.
And the way this computer works is really interesting.
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.
Showing 2081–2100 of 5,217 · page 105 of 261
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