Webinar: Building Better Autonomous Machines with NVIDIA Jetson

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Building Better Autonomous Machines with NVIDIA Jetson

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Building Better Autonomous Machines with NVIDIA Jetson

Join us for this free webinar on Thursday, July 14 at 9:00 AM PST to learn how to prototype, research, and develop a product using Jetson TX1. The Jetson platform enables rapid prototyping and experimentation with performant computer vision, neural networks, imaging peripherals, and complete autonomous systems. We will discuss the Jetson TX1’s onboard hardware features and components, Deep Learning, OpenCV, VisionWorks, ROS, and a variety of partner peripherals. The session will conclude with a short question and answer session.

By attending this webinar, you'll also learn:

How Jetson can enable your Autonomous Machine.
The value of community and NVIDIA-offered toolsets such as OpenCV, ROS, VisionWorks, and cuDNN.
How to get started developing with OpenCV on Jetson.

We hope you will join us!

WEBINAR REGISTRATION

PRESENTERS

Dustin Franklin
Jetson Autonomous Machines, NVIDIA
A renowned GPGPU developer and systems architect, Dustin Franklin works to deploy CUDA-accelerated embedded applications and solve challenging sensor processing problems on Jetson, NVIDIA’s low-power, high-performance embedded platform. Dustin and his team utilize the parallel compute horsepower of NVIDIA GPUs for real-time computer vision, autonomous navigation, and other toolsets, to enable new product categories and industries.

Barrett Williams
Jetson Autonomous Machines, NVIDIA
Barrett began building prototypes with a vintage PowerMac and a Lego robotics kit. After writing a tech column at Yale, he switched tracks from economics to electrical engineering at Columbia. Today you'll find him building robots with 3D-printed parts, or helping others to do so. Prior to joining NVIDIA, Barrett ran web infrastructure and development for a tutor-matching site, and designed components for Meta's AR glasses. When he¹s not obsessing over robots, he's probably biking or skiing somewhere in the Bay Area or Lake Tahoe.

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