The newly-announced NVIDIA Jetson TX2, a credit card-sized platform that delivers artificial intelligence (AI) computing at the edge, opens the door to powerfully intelligent factory robots, commercial drones and smart cameras for AI cities.
Jetson TX2 offers twice the performance of its predecessor, or it can run at more than twice the power efficiency, while drawing less than 7.5 watts of power. This allows Jetson TX2 to run larger, deeper neural networks on edge devices. The result is smarter devices with higher accuracy and faster response times for tasks like image classification, navigation and speech recognition.
The Jetson TX2 joins the Jetson TX1 and TK1 products for embedded computing. Jetson is an open platform that is accessible to anyone for developing advanced AI solutions at the edge — from enterprise companies and startups to researchers and high school students.
As the first embedded computer designed to process deep neural networks, the new NVIDIA Jetson TX1 is set to enable a new wave of smart devices. Drones will evolve beyond flying by remote control to navigating through a forest for search and rescue. Security surveillance systems will be able to identify suspicious activities, not just scan crowds. Robots will be able to perform tasks customised to individuals’ habits.
That’s what the credit-card sized module can do. It can harness the power of machine learning to enable a new generation of smart, autonomous machines that can learn.
Deep neural networks are computer software that can learn to recognise objects or interpret information. This new approach to program computers is called machine learning and can be used to perform complex tasks such as recognising images, processing conversational speech, or analysing a room full of furniture and finding a path to navigate across it. Machine learning is a groundbreaking technology that will give autonomous devices a giant leap in capability.
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