CO -Fundidora de Nvidia In 1993, Jensen Huang became one of the most emblematic faces of world technology. Under its leadership, the American company rose to the top, exceeding Microsoft and Apple to become July, the first world capitalization by crossing $ 4,000 billion.
The entrepreneur who has 3.5% of commercial shares is now the ninth fortune in the world with an estimated heritage for the Bloomberg billionaire index at $ 151 billion.
And yet, despite this success, the CEO does not hesitate to question the foundations of its initial training. Invited to express themselves in the elections he would do again being younger, Jensen Huang visiting Beijing this week told a journalist to CNBC:
A surprising setback by an electrical engineering engineer graduated from the Oregon State University, then Stanford: two computer training pillars in the United States.
Physical sciences in the heart of the next industrial revolution
Why such change? Jensen Huang sees in physical sciences (quantum, chemistry, astronomy or land sciences), the key to understanding and building the future of AI which he calls the “next wave.”
The founder of the technological company then speaks of “physical AI”, which will no longer be content to understand images or texts, but will have to manipulate the real world.
Therefore, this requires a deep understanding of physical laws:
In other words, intelligent robotics, fueled by advanced AI systems, will be the next step for technology.
Through this personal testimony, Jensen Huang sends a clear signal to young generations: software engineering is no longer enough.
Its ambition is clear: replace the global scarcity of labor with a new digital workforce, made of autonomous robots, capable of building, manipulating and producing.
Towards the construction of factories
“Therefore, it is expected that in the next ten years, when we build this new generation of factories, be very robotic and help us face the serious shortage of labor we know worldwide,” he said.
In this logic, Nvidia is no longer just a graphics card designer, but a central player in the construction of a robotic, automated and intelligent industry.
To understand this transition, Jenseng Huang dates back to early 2010 when a new architecture of the neuronal network imagined.
This learning model has revolutionized computer vision and has opened the path for the development of generative.
“Now we are at this time called” AI reasoning “… where AI can understand, generate, [et] Solve problems and recognize conditions that we have never seen before, “he said. An intelligence capable of solving problems and reasoning not published in complex environments.
A strong conviction forged by experience. It was in 1993 that Jensen Huang co -founded Nvidia with two other engineers. More than 30 years later, the world has evolved a lot and for this, the next generation of engineers will not only have to know how to program, but will understand the real world to build a new one.
Source: BFM TV
