At NVIDIA's GTC 2024, innovative use cases of AI were presented across a wide range of industries. Below is a summary of particularly notable areas.
1. Health care
NVIDIA has announced more than 24 new microservices, emphasizing their applications in medical image processing, natural language processing, and digital biology. This enables precise diagnostics, genome analysis, and drug development simulations in hospitals and research institutions.
Automobiles
A platform that has attracted attention as the foundation of self-driving technology is the "DRIVE Thor" platform. Companies such as WeRide and Waabi are utilizing this technology to achieve level 4 autonomous truck technology and onboard intelligent AI assistants. Additionally, AI generation technology is expected to significantly change the in-car experience.
Communications
A new platform called "6G Research Cloud" has been announced. It enables simulation of next-generation communication networks utilizing AI and digital twin, accelerating the development of 6G technology.
Climate Models
The "Earth Climate Digital Twin" platform has been announced for climate change and weather forecasting. Through high-resolution interactive simulations, it assists researchers in creating more accurate prediction models.
Semiconductor Manufacturing
The cuLitho computational lithography platform was introduced through collaboration with TSMC, accelerating semiconductor design and manufacturing by 40 to 60 times and improving efficiency and precision.
6. Applications of Omniverse
NVIDIA's Omniverse platform has been gaining attention as a tool that connects the physical world and virtual world. It is particularly used for building digital twins of robots and simulating real environments.
These technological innovations demonstrate the potential for AI to address complex challenges and improve the efficiency of entire industries.