NVIDIA Jetson with GPU-accelerated parallel processing is the world’s leading embedded AI computing platform. The Jetson portfolio of devices, featuring the new NVIDIA Jetson TX2, delivers more performance and features for Artificial Intelligence at the edge. Devices at the edge, from drones to intelligent cameras, need on-board AI to process complex data without relying on network connectivity. AI at the Edge is the future of industry, transforming processes in manufacturing, industrial inspection, agriculture, general robotics, security, and AI cities.
Fellow Robots’ CTO Thavidu Ranatunga presents LoweBot, a Jetson TX1-powered NAVii robot, designed to guide Lowe’s Hardware customers to their item of choice, via voice recognition or an onboard touchscreen display. LoweBot navigates the aisles autonomously, and in an often Wi-Fi denied environment, using cameras and odometry alone to find its destination. During off-hours, LoweBot helps store employees by tracking depleted or missing inventory with a high-resolution camera and LED light source, recognizing items using a Deep Learning-based classifier.
Hundreds of Ph.D.s prowled the hallways of the eighth annual GPU Technology Conference in San Jose last week to catch up on the latest developments in AI. Also in attendance were hundreds of teens, getting their first taste of what AI can offer.
Deaf people can’t hear. Most hearing people don’t understand sign language.
How do you teach a drone to fly better? Make it hallucinate. Okay. So how do you make a drone hallucinate? With VR, of course. Still with us? Good. Let’s explain.
The AI revolution sweeping the globe just got faster.