Jensen Huang's Daughter Visits LG Training Center... Accelerating 'Physical AI'

[Anchor]

Nvidia and LG are strengthening their physical AI alliance. Following last week's meeting between Nvidia CEO Jensen Huang and LG Group Chairman Koo Kwang-mo in the United States, Madison Huang, Senior Director and daughter of Jensen Huang, visited LG Electronics' robot training site today (August 18).

Reporter Jeong Seong-jin takes a closer look at the background behind the accelerating collaboration between the two companies.

[Reporter]

A humanoid robot sorts items and lifts heavy steel plates in response to human hand gestures.

This is LG Electronics' data factory currently being built in Seoul, commonly referred to as a robot training center.

Madison Huang, Senior Director of Product Strategy for Physical AI at Nvidia and daughter of Nvidia CEO Jensen Huang, visited the facility today.

This comes just four days after Jensen Huang and LG Group Chairman Koo Kwang-mo met in the United States to sign a memorandum of understanding for physical AI cooperation.

The robot training center is the culmination of the robot alliance between LG and Nvidia.

Under this structure, LG provides physical robot bodies as well as data from manufacturing and logistics sites, while Nvidia provides the robot's brain software and synthetic data technology. This allows them to accumulate robot data and advance physical AI technology based on it.

The volume of robot data expected to be secured through this method by the end of this year is projected to reach 100,000 hours, equivalent to about 12 years' worth.

[Park Ki-bum / Head of LG Data Factory, LG Electronics: Through the combination of high-quality data secured by LG Electronics in the field over decades and Nvidia's solutions, we will complete a world-class data virtuous cycle system.]

While large language models like ChatGPT can utilize already accumulated vast amounts of documents and images for learning, physical AI requires generating new actual robot behavioral data.

China is already operating dozens of robot training centers across the country backed by government support and private sector leadership, while robot companies in the US and Germany are also building data training centers.

[Han Jae-kwon / Professor of Robotics, Hanyang University: Physical AI ultimately requires data on human movement. A competition is currently underway over how to secure that data.]

Strengthening cooperation with Nvidia while securing independent technological capabilities is considered a key challenge for South Korean companies as they race to preempt the physical AI market, projected to reach 1 trillion dollars in a decade.

(Video Reporter: Cho Chang-hyun | Video Editor: Choi Jin-hwa | Designer: Jang Sung-beom | Footage Provided by: Nvidia)
※ Please note: This article was translated by AI and may contain errors.