Loading...
You are here:  Home  >  Education Resources For Use & Management of Data  >  Data Daily | Data News  >  Current Article

NVIDIA Isaac Launches New Era of Autonomous Machines

By   /  June 5, 2018  /  No Comments

According to a new press release, “NVIDIA today announced the availability of NVIDIA® Isaac™, a new platform to power the next generation of autonomous machines, bringing artificial intelligence capabilities to robots for manufacturing, logistics, agriculture, construction and many other industries. Launched at Computex 2018 by NVIDIA founder and CEO Jensen Huang, NVIDIA Isaac includes new hardware, software and a virtual-world robot simulator. ‘AI is the most powerful technology force of our time,’ said Huang. ‘Its first phase will enable new levels of software automation that boost productivity in many industries. Next, AI, in combination with sensors and actuators, will be the brain of a new generation of autonomous machines. Someday, there will be billions of intelligent machines in manufacturing, home delivery, warehouse logistics and much more’.”

The release goes on, “At the heart of NVIDIA Isaac is Jetson™ Xavier™, the world’s first computer designed specifically for robotics. With more than 9 billion transistors, it delivers over 30 TOPS (trillion operations per second) — more processing capability than a powerful workstation while using a third the energy of a lightbulb. Jetson Xavier has six kinds of high-performance processors — a Volta Tensor Core GPU, an eight-core ARM64 CPU, dual NVDLA deep learning accelerators, an image processor, a vision processor and a video processor. These enable dozens of algorithms to be processed concurrently and in real time for sensor processing, odometry, localization and mapping, vision and perception, and path planning. This level of performance is essential for a robot to take input from sensors, locate itself, perceive its environment, recognize and predict motion of nearby objects, reason about what action to perform and articulate itself safely.”

Read more at Globe Newswire.

Photo credit: NVIDIA

You might also like...

Thinking Inside the Box: How to Audit an AI

Read More →