At CES 2016 Nvidia has unveiled a new program associated with augmented reality and a computer that has a chance to become the brain of an autonomous vehicle. It is worth to know these two new Nvidia.
What equipment you choose, when you depend on the VR?
A virtual reality and enhanced hear for years, there are many new devices to be immersed in a virtual world. Oculus Rift and Samsung Gear VR have a lot of possibilities, but with augmented reality can be used through your graphics card.
Read also: Is thanks to VR visit new worlds?
Nvidia wants to raise user awareness in this regard and implement a new standard called the GeForce GTX VR Ready. Products marked with this standard are to be ready to work and have fun with augmented reality. The user seeing a corresponding mark is to make sure that the video card, computer, laptop are adapted to the new types of interactions are suitably efficient and profiled.
In the list of devices that meet the standards of the standard were cards Titan X, the GeForce GTX 970 , GTX 980, laptops with GeForce GTX 980 and the processor is not weaker than the Intel Core i5-4590. Other minimum requirements include 8 GB of RAM, available HDMI connection, two free USB 3.0 ports, Windows 7/8 / 8.1 / 10.
With the new standard, users who depend on the opportunities offered by the VR will be easier they can choose the right equipment. Nvidia creates a standard together with 57 partners, among whom were, among others, Alienware and MSI. This is good news for users – virtual reality will become more accessible.
NVIDIA DRIVE PX 2 – the first car supercomputer that uses artificial intelligence
Fig. Nvidia
At CES Nvidia also unveiled a special computer that can revolutionize the automotive industry. Why? May become “artificial brain” of the car based on the most powerful graphics processors and algorithms supported deep learning techniques. Thanks to observe the environment of the car in 360 degrees, calculating the trajectory of driving to be extremely advanced.
“Drivers must operate in a very complex environment,” says Mr. Huang, co-founder and CEO of NVIDIA. “Recent developments in the fields of artificial intelligence and graphics processors affect the development of autonomous vehicles.”
Efficiency
The Revolution that want both Google Uber and Tesla would ensure Nvidia chips. Future autonomous vehicles will constantly monitor the surroundings, so efficiency is needed, which is not able to reach the man. Autonomous vehicles must provide drivers and passengers greater safety, convenience, and access to a range of services such as multimedia.
24 trillion operations a deep learning a second
The efficiency and effectiveness is also to provide platform development of systems for deep learning DRIVE PX 2. It has enormous computing power equal to the capacity of 150 MacBook Pro. The platform is based on two next-generation Tegra processors and two dedicated graphics processors can perform a total of 24 trillion operations per second deep learning. Thanks to accelerate the calculations used during the learning process of neural networks. That’s over ten times more than the previous generation product.
Autonomous vehicles need sensors
Fig. Nvidia
Nvidia is trying to look at the problem of complex autonomous vehicles. Notes that recognize their surroundings through a series of sensors. Nvidia systems can simultaneously process signals from 12 sensors such as video cameras, LIDAR, radar, ultrasonic sensors. Without effective communication with them the vehicle is not able to detect and recognize objects on the route, calculate its position relative to the vehicle and the surrounding area.
It is possible via a set of tools, libraries and modules NVIDIA DriveWorks ™, which accelerates processes testing autonomous vehicles. DriveWorks supports the calibration of sensors, recording and processing of data from the surroundings (360 degrees) and synchronization of information processing streaming data using complex web of algorithms, both by specialized and general processor platform DRIVE PX 2. NVIDIA provides software modules designed to handle every aspect of the process autonomous driving, from detecting objects by classification and segmentation, the vehicle location on the map and route planning.
Nvidia is developing its system with many partners. One of them is the BMW
“BMW examines the possibility of using deep learning solutions in many aspects of autonomous driving on quality control in production processes. A very important feature is the ability to fast training a neural network using large amounts of data. Our cluster of GPUs from NVIDIA DIGITS package provides us with great effects “- says director of technology BMW Group in the United States.
The idea for autonomous vehicles Nvidia seems to be based on appropriate assumptions. Without the ultra-efficient equipment and supermądrych algorithms for autonomous vehicles will not be adequately safe. The only vehicles that can be trusted have a chance to win the trust of consumers. Nvidia innovations have a chance to bring us to the point where the car will help you avoid an accident, take care of our safety in critical situations.
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