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Nvidia Jensen Huang co-founder and CEO spoke to journalists in July during his visit to Beijing.
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Mood Nvidia CEO Jensen Huang was a student today, he focused on physical sciences.
During the trip Beijing On Wednesday, Huang was asked by a journalist: “If you are a 22-year-old version of Jensen (Who) in 2025, but with the same glory, what would you draw?”
Therefore, NVIDIA CEO, “Young, 20-year-old Jensen, it is probably probably chosen … More physical sciences, 20 years ago graduated two years ago before two years of college.
Unlike life science, it is a wide branch aimed at the study of non-live systems, including physical sciences, physics, chemicals, astronomy and land sciences.
Huang, in 1984. According to LinkedIn before the Master’s degree of Stanford University from Oregon State University in 1992 Profile.
About a year later, in April 1993, Huang, Huang, in a meal, founded the HUIDIA together with a meal Shop restaurant California in San Jose. As CEO as Huang management, ChipMaker became the most valuable company in the world.
Nvidia became the world’s first company that hit a $ 4 trillion market last week.
Huang had a student today, if it was a student today, if he had a student who would study the sciences, the technology builder was drowned a lot “Physical ai“or what” or “the next wave” is called.
In the last ten years and in one half, the world passed many stages of artificial intelligence, it explained In April Hill and Valley Forum In Washington, DC
“When Modern AI really seemes 12-19 years ago, when he saw a great, giant progress, he said,” he said, “Huang said.
Aaexnet, a computer model presenting the 2012 competition, demonstrated the opportunity to recognize the images using deep learning of machines, use the spark of the modern AI boom.
This first wave is called ‘Perception AI’, ‘said Huang.
Then, the AI model came a second wave called “Generative Ai”, which they learned to understand how the information is, but makes it “different languages, images, codes.
The next wave requires us to understand things like physics, friction, inertia, caomments and laws.
Jensen Huang
Co-founder and ceo, nvidia
“Now at this age, this age is a year … Now there is a possible AI, which can solve problems (and) can solve problems and recognize the conditions we have not seen before,” he said. Artificial intelligence can solve problems using the current situation, justification.
“AI allows you to prepare a form of digital robots. We call them an agency EU,” Huang said. These AI agents are essentially “Digital Workforce Robots” reasoning. Today, AI agents are in the center of the main focus among many technological companies Microsoft and Righteousness.
Looking forward, the next wave “physical AI”, Huang said.
“The next wave requires us to understand things like physics, friction, inertia, causes and laws of influence,” Washington, DC, in Huang in Huang.
Although physical thinking capabilities are the constant concept of the object or although the objects are out of sight, the artificial intelligence will be great in this next round.
Applications of physical justification understand how much power is to predict the predicted results, without damage to the predicted places, and to reduce a pedestrian existence that is on a pedestrian behind a car.
“And when you pick up this physical AI, and then put on a physical object called a robot, you get robotics,” he said. “It’s really important for us now, because we are building plants and factories all over the United States.”
“Hopefully, as in the next 10 years, as we build this new generation of plants and factories, they help us to engage in a highly robot and we have a heavy labor in all over the world,” Huang said.
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