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Archive for October, 2017

NVIDIA’s AI Computer Drives AVs

Thursday, October 19th, 2017

This week NVIDIA unveiled what it claims to be the world’s first artificial intelligence computer designed specifically to “drive” fully autonomous vehicles.

The new system, codenamed Pegasus, brings the NVIDIA® DRIVE™ PX AI computing platform for handling Level 5 driverless vehicles (Level 5 is ”steering wheel optional.” In other words, no human intervention is required, for example, a robotic taxi). NVIDIA DRIVE PX Pegasus can perform over 320 trillion operations per second — more than 10x the performance of its predecessor, NVIDIA DRIVE PX 2.

NVIDIA DRIVE PX Pegasus is intended to help make a new class of vehicles possible that can operate without a driver — fully autonomous vehicles without steering wheels, pedals, or mirrors, and interiors that feel more like a living room or office than a vehicle. They will arrive on demand to safely take passengers to their destinations, bringing mobility to everyone, including the elderly and disabled.

One of the driving forces behind autonomous vehicles is to recapture millions of hours of lost time that could be used by “drivers” (really passengers) to work, play, eat or sleep on their daily commutes. Theoretically, countless lives could be saved by vehicles that are never fatigued, impaired, or distracted — increasing road safety, reducing congestion, and possibly freeing up land currently used for parking lots.

Of the 225 partners developing on the NVIDIA DRIVE PX platform, more than 25 are developing fully autonomous robotaxis using NVIDIA CUDA GPUs. Today, their trunks resemble small data centers, loaded with racks of computers with server-class NVIDIA GPUs running deep learning, computer vision and parallel computing algorithms. Their size, power demands and cost make them impractical for production vehicles.

NVIDIA AI Vehicle Demonstration

The computational requirements of robotaxis are enormous — perceiving the world through high-resolution, 360-degree surround cameras and lidars, localizing the vehicle within centimeter accuracy, tracking vehicles and people around the car, and planning a safe and comfortable path to the destination. All this processing must be done with multiple levels of redundancy to ensure the highest level of safety. The computing demands of driverless vehicles are easily 50 to 100 times more intensive than the most advanced cars today with human drivers.

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PTC Marches On With New Vuforia AR Platform Release

Thursday, October 12th, 2017

This week PTC announced the upcoming release of the newest version of its Vuforia platform for AR development, Vuforia 7. The company says Vuforia 7 will introduce major advancements in the ability to attach digital content to more types of objects and environments, and a new capability for delivering enhanced AR experiences on a wide range of handheld devices.

PTC claims that Vuforia is the world’s most widely used platform for AR development. With support for mobile phones, tablets and eyewear, Vuforia has powered more than 475 million installs of AR apps from the App Store and Google Play. Vuforia Engine, the core of the platform, uses a device’s camera(s) and sensors to function as a digital “eye” inside an app. It “sees” objects and surfaces where content can be placed, and enables developers to create AR experiences using existing development tools.

Vuforia 7 will introduce Model Targets, a new feature for attaching content to objects that have not been recognizable using existing computer vision technology. Model Targets recognize objects by shape, in contrast to existing methods that rely on detailed visual designs typically found on print media, product packaging and many consumer goods. With Model Targets, content can be attached to objects such as automobiles, appliances, and industrial equipment and machinery. Model Targets will enable a new class of AR content that can replace traditional user manuals and technical service instructions.

Jay Wright, President, Vuforia: State of Augmented Reality

Responding to developers, Vuforia 7 will also introduce a new capability for placing content on horizontal surfaces. Vuforia Ground Plane enables content to be placed on the ground, floor or tabletop, whether indoors or outdoors. Vuforia Ground Plane extends the functionality of the Vuforia Smart Terrain feature, first announced in 2013 to take advantage of depth sensing cameras. Vuforia Ground Plane will support a wide range of today’s devices and provides an ideal solution for developers to build visualization apps, ranging from in-home furniture shopping to design review.

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Dassault Systemes Acquiring Exa for CFD

Thursday, October 5th, 2017

It seems that a lot of CAD companies have taken a greater interest in digital simulation the past several years. Case in point — the recent MSC Software acquisition by Hexagon. That high level of interest was again evidenced this week as Dassault Systèmes and Exa Corporation with its simulation software for product engineering, announced the signing of a definitive merger agreement for Dassault Systèmes to acquire Exa. Under the terms of the merger agreement, this represents a value for Exa of approximately $400 million. Exa’s fiscal year ended January 31, 2017 and its revenue was $72 million.

With the addition of Exa, Dassault Systèmes’ 3DEXPERIENCE platform will provide customers with a mature, diverse portfolio of combined Lattice Boltzmann fluid simulation technologies, as well as Exa’s fully industrialized solutions and approximately 350 experienced simulation professionals. Because of its solving method, Exa’s solutions can solve fluids problems faster and more accurately than traditional methods for aerodynamics, aeroacoustics, and thermal management.

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