He uses facial recognition as an example of converting faces into mathematical topology and matching that model against a database.
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Database
He uses facial recognition as an example of converting faces into mathematical topology and matching that model against a database.
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"...that work? Okay. So, how this works is that there's a database. Okay? About one billion people, like everyone in China. And now, what..."
"Okay? Does that make sense? So, what I do is for the face, I create a mathematical model based on topology. Okay? Does that..."
"...do is match what your model with the model in the database all right but what what's important to remember is that if you're..."
"...I have about a million faces one million faces in a database okay and I don't know how I can best differentiate these faces..."
"...need in other words, you need to present it with a database of some sorts. In fact, all machine learning works with database. So..."
"...because of surveillance, right? Because the government wants to create a database of everyone in the world so that they can monitor everyone in..."
"...an exponential. Exponential. So you have a million people in your database, and you want to find patterns among these million people. Well, that..."
"...government to basically categorize everyone and put everyone into a certain database to monitor that person. And once you have, once you're able to..."
"...to use digital ID. Okay? So everyone's part of this national database. And then what this allows government to do is basically monitor everything..."
"...do online is being recorded and it's being inputted into the database to figure out who you are, what you want, and how to..."
"And then this long -term is stored into a database of memories. And it's divided according to your emotions. Okay, happy, sad, angry, scared...."
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