Nvidia is expanding its edge AI technology for healthcare and robotics

Nvidia is expanding its edge AI technology for healthcare and robotics ...

Artificial intelligence (AI) is developing at the edge of its capabilities to assist and support a wide range of use cases, including medical, embedded, and robotics.

Nvidia announced a number of new hardware and software initiatives that span several industries and are aimed at increasing AI at the edge. The new platform includes the IGX Orin hardware, which is a small form factor AI optimized computing system. The Jetson Orin Nano is a high-powered small form factor device for edge AI in robotics.

Kimberly Powell, Nvidia's vice president and general manager for healthcare, said combining imaging sensors with real-time, deep learning computer vision.

The robot assisted doctor will see you shortly.

Powell explained that IGX includes the Orin robotics processor, Ampere tensor core GPU hardware, the ConnectX streaming I/O processor, as well as a functional safety island and microcontroller unit in the future.

The Nvidia Clara Holoscan AI platform complements IGX for medical devices and imaging robotics pipelines that include detection, segmentation, and real-time visualization.

Powell said that IGX provides the medical device industry with a single and commercial off the shelf platform for real-time edge processing, saving huge amounts of hardware and platform engineering. Medical devices can now benefit from the same business model innovation as self-driving cars to be AI powered and become software defined.

Medical device manufacturers are already gaining ground on IGX for medical devices. Activ Surgical will soon be using IGX for its next-generation platform that uses sensor technology to see beyond natural light to provide real-time imaging and physical structure visualization during surgery.

Clara Holoscan, an IGX platform, has been adopted by Moon Surgical for its robotic assisted Maestro system, which provides enhanced sensory and assisted scope control.

Proximie has announced that it would be using IGX to help support its operating room telepresence technology, which allows for real-time remote surgeon collaboration.

Robotics AI involves more than just robots.

Nvidia is using GTC as a platform to demonstrate its latest version of the Jetson Orin Nano platform for robotics and edge AI.

In a GTC press briefing, Deepu Talla, Nvidia's vice president and general manager of embedded and edge computing, noted that the first Jetson Nano was released in 2019 as an entry-level platform for AI and robotics. The new Orin Nano update is expected to be available in two different versions, including 4GB and 8GB versions.

The Jetson Orin Nano is intended to be a part of an overall strategy to enable edge AI robotics. Other components include Nvidia's Isaac robot simulation platform as well as the software to run the actual robots, which increasingly is the open-source ROS (Robot Operating System).

It's important to note that what Nvidia refers to, broadly called robotics, is, in fact, a very large category of edge AI use cases.

Talla said that most people think of robots as something that has arms, legs, or wheels.

Tall pointed out that there are plenty of stationary robots out there. Nvidia is defining robots as other autonomous devices that are also interested in things and have the ability to observe and interpret their surroundings. Things like edge AI in a self-checkout, traffic analytics, and even videoconferencing.

Talla said, "We're not building robots ourselves." "We're providing a platform to make the robots faster."

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