The best use cases for Nvidia's Computer Vision Technology
Tesla Self Driving Cars
The artificial intelligence in the Telsa Auto Pilot system is driven by the NVIDIA DRIVE™ PX 2 AI computing platform
Dubia Smart City
Nvidia's Artificial Intelligence computer vision is leading the charge on facial recognition that can be implemented on any camera without hardware installation. Making it the go to choice to install in all video surveillance. The cities of the future could very possibly be watching everything 24/7 with intelligent alert systems and all seeing eyes from cameras installed on cars that also watch accidents and pedestrian sidewalks as well as building cameras and even satellite imagery. See more on engadget
BMW Auto Pilot
BMW along with other dominant auto makers, including Honda and Volkswagon, are using Nvidia. See more on Motley Fool
According to pc gamer the Nvidia GTX 1070 and GTX 1080 are the two best graphics cards. See more on pcgamer
Nvidia CEO, Jenson Huang announces the Isaac Robot Simulator to train robot AI at 1000x speed.
Why Nvidia Is The
Best Choice For Innovation
Sensors and networks are exponentially changing the world. If you compare the explosion of tech to human cognition, we require sight, sound, alert mechanisms like fight or flight for safety, emotional intelligence to detect threats and many. Nvidia is poised to be the manufacturer for the "eyes" of the future.
Nvidia makes the most energy efficient supercomputer. The SATURNV supercomputer
Building an Artificial Intelligence platform for autonomous cars which are estimated to be at a volume of 10 million self driving cars on the road by 2020.
It is estimated that by 2020 there will be 10 million cars on the road with self-driving features installed. It is likely that Nvidia will power a large share of those features. See full article here
Nvidia is using gaming technology that you would find in Unreal Engine 4 by Epic Games (creator of popular games such as Batman Arkham VR) for a robotics automation training platform. It is powered by deep learning techniques.