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Qualcomm Releases Car Platform
Qualcomm has released its Connected Car Reference Platform so that the car industry to build prototypes for the next-generation connected car.
Qualcomm could make piles of dosh if car-makers choose its platforms in the future. While it looks like the whole program and hardware package is not there yet, it gives developers something to play with which should see it under the bonnet of the next generation of car automation.
The next trick will be to get autonomous steering and collision avoidance features into the package. Qualcomm will probably apply its machine learning SDK, announced just a few weeks ago, and the Snapdragon 820 processor.
In a press release Qualcomm said the Connected Car Reference Platform uses a common framework that scales from a basic telematics control unit (TCU) up to a highly integrated wireless gateway, connecting multiple electronic control units (ECUs) within the car and supporting critical functions, such as over-the-air software upgrades and data collection and analytics.
The vehicle’s connectivity hardware and software to be upgraded through its life cycle, providing automakers with a migration path from Dedicated Short Range Communications (DSRC) to hybrid/cellular V2X and from 4G LTE to 5G.
It can also manage concurrent operation of multiple wireless technologies using the same spectrum frequencies, such as Wi-Fi, Bluetooth and Bluetooth Low Energy.
The system supports OEM and third-party applications to providing a secure framework for the development and execution of custom applications.
Qualcomm appears to be working on the problem of over-the-air software updates. Updating software on a mission-critical system such as an autonomous car is a much harder problem than updating a smartphone because it has to be completely secure and work every time without reducing safety. However given that updates have stuffed up the mobile phone business and a car will need lots of them in its much longer working life, it is something which will need to be tackled.
Qualcomm has to solve this problem anyway to accelerate shipments not only to the car market but to the IoT market, where it hopes to sell tens of billions of chips.
Qualcomm says it expects to ship the Connected Car Reference Platform to automakers, tier 1 auto suppliers and developers late this year.
Courtesy-Fud
Google Says A.I. Is The Next Big Thing
Every decade or so, a new era of computing comes along that influences everything we do. Much of the 90s was about client-server and Windows PCs. By the aughts, the Web had taken over and every advertisement carried a URL. Then came the iPhone, and we’re in the midst of a decade defined by people tapping myopically into tiny screens.
So what comes next, when mobile gives way to something else? Mark Zuckerberg thinks it’s VR. There’s likely to be a lot of that, but there’s a more foundational technology that makes VR possible and permeates other areas besides.
“I do think in the long run we will evolve in computing from a mobile-first to an A.I.-first world,” said Sundar Pichai, Google’s CEO, answering an analyst’s question during parent company Alphabet’s quarterly earnings call Thursday.
He’s not predicting that mobile will go away, of course, but that the breakthroughs of tomorrow will come via smarter uses of data rather than clever uses of mobile devices like those that brought us Uber and Instagram.
Forms of artificial intelligence are already being used to sort photographs, fight spam and steer self-driving cars. The latest trend is in bots, which use A.I. services on the back end to complete tasks automatically, like ordering flowers or booking a hotel.
Google believes it has a lead in A.I. and the related field of machine learning, which Alphabet’s Eric Schmidt has already pegged as key to Google’s future.
Machine learning is one of the ways Google hopes to distinguish its emerging cloud computing business from those of rivals like Amazon and Microsoft, Pichai said.
Source-http://www.thegurureview.net/aroundnet-category/google-says-a-i-is-the-next-big-thing-in-computing.html
Is nVidia Going All-In On Autonomous Cars?
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Nvidia is applying all that it knows about deep learning to enable autonomous vehicles.
The GPU vendor has launched NVIDIA DRIVE PX 2 which is an autonomous vehicle development platform powered by the 16nm FinFET-based Pascal GPU.
The GPU maker issued a version of DRIVE PX last year to its automotive partners including Audi, BMW, Daimler, Ford and dozens more. This newer version is equipped with two Tegra SOCs with ARM cores plus two discrete Pascal GPUs.
Nvidia said that the new platform is capable of 24 trillion deep learning operations per second ten times more than the last generation.
It can also offer an aggregate of 8 teraflops of single-precision performance which is a four-fold increase over the PX 1 and many times faster than using a slide rule or counting on your fingers.
The development platform includes the Caffe deep learning framework to run DNN models designed and trained on DIGITS, NVIDIA’s interactive deep learning training system.
Nivida wants to take humans out of the drivers’ seat to reduce the one million automotive-related fatalities each year.
Perception is the main issue and deep learning is able to achieve super-human perception capability. DRIVE PX 2 can process 12 video cameras, plus lidar, radar and ultrasonic sensors. This 360 degree assessment makes it possible to detect objects, identify them and their position relative to the car, and then calculate a safe and comfortable trajectory.
Courtesy-Fud
Nvidia Teams Up With Volvo For Self-Driving Car Computer
January 15, 2016 by admin
Filed under Around The Net
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Nvidia Corp. took the wraps off of a new, lunchbox-size super-computer for self-driving cars and announced that Volvo Car Group will be the new device’s first customer.
Volvo, of Sweden, is owned by China’s Geely Automotive Holdings.
Nvidia made the announcement at the beginning of the Consumer Electronic Show in Las Vegas. Calls to Volvo’s spokesman in China were not immediately answered.
The new Drive PX 2, said company CEO Jen-Hsung Huang, has computing power equivalent to 150 MacBook Pro computers, and can deliver up to 24 trillion “deep learning” operations – allowing the computer to use artificial intelligence to program itself to recognize driving situations – per second.
Partnerships between automakers and Silicon Valley companies on self-driving technologies are taking center stage at this year’s show.
Also on Monday, General Motors Co. announced a $500 million investment in ride-sharing service Lyft.
Huang didn’t offer revenue projections for Drive PX 2, but automotive is the fastest-growing business segment for Nvidia, whose largest revenue source is video games.
Source-http://www.thegurureview.net/aroundnet-category/nvidia-teams-up-with-volvo-for-self-driving-car-computer.html
Google Continues A.I. Expansion
Google Inc is growing its artificial intelligence area, hiring more than half a dozen leading academics and experts in the field and announcing a partnership with Oxford University to “accelerate” its efforts.
Google will make a “substantial contribution” to establish a research partnership with Oxford’s computer science and engineering departments, the company said on Thursday regarding its work to develop the intelligence of machines and software, often to emulate human-like intelligence.
Google did not provide any financial details about the partnership, saying only in a post on its blog that it will include a program of student internships and a series of joint lectures and workshops “to share knowledge and expertise.”
Google, which is based in Mountain View, California, is building up its artificial intelligence capabilities as it strives to maintain its dominance in the Internet search market and to develop new products such as robotics and self-driving cars. In January Google acquired artificial intelligence company Deep Mind for $400 million according to media reports.
The new hires will be joining Google’s Deep Mind team, including three artificial intelligence experts whose work has focused on improving computer visual recognition systems. Among that team is Oxford Professor Andrew Zisserman, a three-time winner of the Marr Prize for computer vision.
The four founders of Dark Blue Labs will also be joining Google where they will be will be leading efforts to help machines “better understand what users are saying to them.”
Google said that three of the professors will hold joint appointments at Oxford, continuing to work part time at the university.