Huang Renxun: Musk has made various progress in the fields of cognitive intelligence, autonomous driving, and robotics technology.

robot
Abstract generation in progress

Golden Finance reported that during CES 2025, NVIDIA CEO Huang Renxun highly praised Elon Musk's various advancements in the field of artificial intelligence, including cognitive intelligence, autonomous driving, and robotics technology. Huang pointed out that Musk has significant advantages in collecting real-world data through TSL's AI-driven factories, autonomous driving algorithms, and a large fleet. Huang Renxun specifically mentioned that Musk's efforts in the fields of xAI (cognitive intelligence), TSL autonomous driving, and Optimus humanoid robots are focused on the three key directions of AI development, and he stated that these efforts will have a profound impact on the industry. In addition, Huang predicted that in the coming years, the computing model will shift from traditional general-purpose computing to artificial intelligence and accelerated computing, further driving industry transformation.

View Original
The content is for reference only, not a solicitation or offer. No investment, tax, or legal advice provided. See Disclaimer for more risks disclosure.
  • Reward
  • 2
  • Share
Comment
0/400
TskTskLiLivip
· 01-13 02:19
Golden Finance reported that during CES 2025, NVIDIA CEO Huang Renxun highly praised Elon Musk's progress in various aspects of artificial intelligence, including cognitive intelligence, autonomous driving, and robotics. Huang pointed out that Musk has significant advantages in collecting real-world data with TSL's AI-driven factories, autonomous driving algorithms, and a large fleet. Huang Renxun specifically mentioned Musk's efforts in the fields of xAI (cognitive intelligence), TSL autonomous driving, and Optimus humanoid robots, emphasizing that these efforts are focused on three key directions of AI development and will have a profound impact on the industry. In addition, Huang predicts that in the coming years, the computing paradigm will shift from traditional general-purpose computing to artificial intelligence and accelerated computing, further driving industry transformation.
Reply0
Crypto_Loversvip
· 01-13 01:53
Excellent information
Reply0
Trade Crypto Anywhere Anytime
qrCode
Scan to download Gate app
Community
English
  • 简体中文
  • English
  • Tiếng Việt
  • 繁體中文
  • Español
  • Русский
  • Français (Afrique)
  • Português (Portugal)
  • Bahasa Indonesia
  • 日本語
  • بالعربية
  • Українська
  • Português (Brasil)