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 months
6 · Jan OctJan 26AprJulnow

Recordings per month over the last 12 months — 26 in all, peaking in Jan 2026 with 6.

Appearances

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Software historically was humans applying first principles in our thinking to describe an algorithm that is then codified just like a recipe that's codified in software.
It looks just like a recipe.
How to cook something looks exactly the same, just in a slightly different language.
We call it Python or C or C++ or whatever it is.
In the case of deep learning, this invention of artificial intelligence, we put a structure of a whole bunch of neural networks and a whole bunch of math units.
And we make this large structure.
It's like a switchboard of little mathematical units.
And we connect it all together.
And we give it the input that
the software would eventually receive.
And we just let it randomly guess what the output is.
And so we say, for example, the input could be a picture of a cat.
And one of the outputs of the switchboard is where the cat signal is supposed to show up.
And all of the other signals, the other one's a dog, the other one's an elephant, the other one's a tiger,
And all of the other signals are supposed to be zero when I show it a cat, and the one that is a cat should be one.
And I show it a cat through this big, huge network of switchboards and math units, and they're just doing multiply and adds, multiplies and adds, okay?
And this thing, this switchboard is gigantic.
The more information you're going to give it, the bigger the switchboard has to be.
And what Jeff Hinton discovered, invented, was a way for you to guess that, put the cat signal in, put the cat image in.
And that cat image could be a million numbers because it's a megapixel image, for example.
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