開発者 AI とメタバースの時代を牽引する NVIDIA 主催カンファレンス

Developers in startups or large enterprises are using transfer learning on pre-trained models to create AI models faster, with minimal coding, and reduced dataset requirements. Learn how to create and deploy custom, production-ready...

We'll discuss the future of robotics and how it's impacting most aspects of society, from manufacturing and logistics to domestic applications. We'll provide a perspective on societal megatrends and how they drive a number of use cases for robotics. We'll also...

Giving perception to smart spaces often requires applying vision AI to many ca.m.eras covering multiple physical regions. Whether it’s for monitoring packaged goods in a warehouse or vehicles on a street , it's critical to accurately and consistently track these...

The emergence of smart spaces has created a shockwave of demand for next-generation technology including AI, video analytics, and edge computing. The idea behind smart spaces has been to ensure the safety of community and workers, while...

The world is moving fast, and intelligent autonomous machines have been adopted across a variety of vertical industries. However, the a.m.ount of data generated by machines has exploded in volume, growing exponentially to 175 zettabytes...

We'll demonstrate workflows for reinforcement learning and synthetic data generation for AI-based robots, with exa.m.ples that highlight some of the latest robotics perception capabilities enabled by Isaac ROS.

Building Vision AI applications to detect and classify a huge number of objects or to operate in constantly changing environments is a significant challenge for any developer. The need for extensive training datasets and constant model...

Perceiving humans, such as their pose, gaze, and so on, is of great interest for many practical applications, including human-machine interaction, activity recognition, video analytics, visual effects, ga.m.ing, and any other application involving humans...