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Co -founder and CEO of Nvidia Jensen Huang talked to journalists while traveling to Beijing in July.
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If Nvidia Jensen CEO Juan was a student today, he says he focused on physical sciences.
During the trip to Beijing On Wednesday, Juan asked the journalist: “If you are a 22-year version of Jensen (which) just finished today in 2025, but with the same ambition you would focus on?”
To this, Nvidia CEO said: “For the young, 20-year-old Jensen, who has finished now, he would probably choose … more physical sciences than the program sciences,” adding that he actually graduated from college at the age of 20.
Physical Science, unlike life science, is a wide branch that focuses on the study of non-living systems, including physics, chemistry, astronomy and land science.
In 1984, Juan received an electrical engineering degree in Oregon before earning a master’s degree at Stanford University in 1992, reports his Linkedin profile.
Approximately a year later, in April 1993 Danny’s restaurant In San Khase, California. Under the guidance of Juan as CEO, the manufacturer of the chips became the most valuable company in the world.
Last week, Nvidia also became the world’s first company to reach 4 trillion market capitalization.
Although Juan did not explain why he says he studied physical sciences when he was a student again today, technology founder was very bullish “Physical II“Or what he calls” the next wave “.
Over the last decade, the world has moved through several stages of artificial intelligence, it interpret In April in Forum Hill & Valley In Washington, District Colombia
“The modern II really came to mind about 12 to 14 years ago when Alexet came out, and Computer Vision saw his great giant breakthrough,” Juan said at the forum.
Alexnet was a computer model presented during the 2012 competition, which demonstrated the ability of machines to recognize images using deep learning, helping to ignite the modern boom AI.
This first wave is called “Perception II,” said Juan.
Then came the second wave called “Generative AI”, and exactly where the AI model learned to understand the meaning of information, but (also) translates it “into different languages, images, code and more.
The next wave requires us to understand things such as the laws of physics, friction, inertia, causes and consequences.
Jensen Juan
Co -founder and CEO Nvidia
“Now in this era we call” AI’s reasoning “… Where you now have the II, which can understand, it can create, (and) solve the problems and recognize the conditions that we have never seen before,” he said. Artificial intelligence in its modern state can solve problems using reasoning.
“AI’s reasoning allows you to produce digital robots. We call them Agentic AI,” Juan said. These II agents are essentially “digital robots of labor” capable of thinking, he added. Today, II agents are the focus among many technology companies, such as Microsoft and Seller.
Going forward, the next wave is “physical II,” Juan said.
“The next wave requires us to understand such things as the laws of physics, friction, inertia, causes and consequences,” Juan said in Washington, Colombia County in April.
He said that physical abilities such as the concept of permanentness of the object – or the fact that objects continue to exist, even if they are not in sight – would be great in the next phase of artificial intelligence, he said.
Application of physical reasoning includes predicting results, for example, where the ball will ride, realizing what force it is necessary to capture the object without damaging it and bringing out the presence of a pedestrian behind the car.
“And if you take this physical II, and then you put it in a physical object called the robot, you get robotics,” he added. “This is really important for us now, because we are building plants and factories throughout the US.”
“So, I hope, in the next 10 years, when we build this new generation of plants and factories, they are very robotic, and they help us fight the serious lack of work we have all over the world,” Juan said.
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