Not everything is ChatGPT on AI: Watch these sessions at NVIDIA GTC.

As the field of artificial intelligence continues to grow, it’s essential to look beyond the well-known language models like ChatGPT and explore other areas of AI that have the potential to revolutionize industries and change our daily lives.

One such area is Embedded AI, which involves integrating AI directly into hardware devices, from smartphones and cameras to vehicles and appliances. This allows devices to make intelligent decisions and take actions based on real-time data without requiring a constant internet connection or relying on cloud computing.

Digital Twins: Enabling embedded AI in closed-loop environments

Digital twins are virtual replicas of physical devices or systems that are created using real-time data gathered from sensors. This is particularly useful for systems that operate in closed-loop environments, where a constant internet connection is not available or practical.

By training AI models using digital twins, developers can create embedded AI systems that can make intelligent decisions and take actions based on real-time data without needing a constant internet connection.

This technology can potentially revolutionize industries such as manufacturing and healthcare, where real-time decision-making and efficient processes are crucial.

These five sessions at NVIDIA’s GTC focus on embedded AI and digital twins. Check them out to learn more about how AI is transforming industries:

Creating Digital Twins and Simulations of Industrial Robotic Workcells for Smart Factories [S51494]

[Link to register for this session]

In this session, RIOS Intelligent Machines will demonstrate how they use AI to design and implement advanced robots for smart factories. They’ll discuss how every manufacturing challenge is unique, so they work with each customer to create hardware and software solutions. They’ll also showcase the benefits of their simulation and development platform, which helps them quickly and efficiently deliver state-of-the-art robotics to their customers.

Introduction to Autonomous Vehicles [S51168]

[Link to register for this session]

This session will cover the basics of autonomous vehicles, explaining how they use AI to sense, plan, and act without human drivers. You’ll learn about the technologies that make this possible, including GPU, compute, and generative AI. You’ll also see how simulations test and validate safe autonomous driving systems. This is an excellent session for anyone interested in how AI revolutionizes transportation.

Building a Robot Digital Twin in Isaac Sim: A Step-by-Step Example [S51561]

[Link to register for this session]

This session will demonstrate how to create a digital twin of a robot, a virtual model that can simulate how the real robot behaves. This helps engineers design advanced control algorithms more accurately, which can improve the robot’s performance. They’ll use the robot arm controlled with the NVIDIA Jetson AGX Orin as an example and show how accurate robotic simulation allows one to design advanced control algorithms. This is an excellent session for anyone interested in robotics or simulation.

Building an AI City with the Right Industrial Jetson System (Presented by Advantech) [S52453]

[Link to register for this session]

This session will discuss how AI improves urban transportation, focusing on successful cases where Advantech has deployed AI in transportation applications. They’ll explain how their edge AI systems help improve traffic efficiency and reduce risk, such as in traffic management and railway safety. They’ll also show how AI is being used to enable autonomous vehicles to replace routine low-value jobs and ensure humans can avoid working in high-risk environments.

Automating Synthetic Point Generation Sim in the Cloud [S51052]

[Link to register for this session]

This session will showcase how Trimble uses AI to automate synthetic data creation for machine learning research. They’ll demonstrate how they built a system that can generate and label point clouds for their study, which helps them improve the accuracy of their models. They’ll also explain how they use cloud-based tools and extensions to scale their research efficiently. This session is excellent for anyone interested in how AI transforms machine learning research.

For those interested in learning more about the Jetson platform, NVIDIA also offers a playlist of sessions at GTC related to Jetson, covering topics such as Jetson product updates, software development, and AI applications.