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Is nVidia’s Auto Venture Paying Off?
August 17, 2016 by admin
Filed under Consumer Electronics
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The driverless car market is expected to grow to $42 billion by 2025 and Nvidia has a cunning plan to grab as much of that market as possible with its current automotive partnerships.
The company started to take in more cash from its car business recently. The company earned $113 million from its automotive segment in fiscal Q1 2017. While that is not much it represents a 47 percent increase over the year before. Automotive revenue up to about 8.6 percent of total revenue and it is set to get higher.
BMW, Tesla, Honda and Volkswagen are all using Nvidia gear in one way or another.
BMW’s been using Nvidia infotainment systems for years and seems to have been Nvidia’s way into the industry. Tesla has a 17 inch touchscreen display of which is powered by Nvidia. You can see Tesla’s all-digital 12.3-inch instrument cluster display uses Nvidia GPUs. Honda has Tegra processors for its Honda Connect infotainment system.
But rumors are that Nvidia is hoping to make a killing from the move to driverless cars. The company is already on the second version of its Drive PX self-driving platform. Nvidia claims that Drive PX recently learned how to navigate 3,000 miles of road in just 72 hours.
BMW, Ford, and Daimler are testing Drive PX and Audi used Nvidia’s GPUs to help pilot some of its self-driving vehicles in the past. In fact Audi has claimed that it can be used to help normal car driving.
It said that the deep learning capabilities of Drive PX allowed its vehicles to learn certain self-driving capabilities in four hours instead of the two years that it took on competing systems.
According to Automotive News Europe Nvidia is working closely with Audi as its primary brand for Drive PX but then it will move to Volkswagen, Seat, Skoda, Lamborghini, and Bentley.
Tesla also appears to think that Nvida is a key element for driverless car technology. At the 2015 GPU Technology Conference last year, the company said that Tegra GPU’s will prove “really important for self-driving in the future.” Tesla does not use the Drive PX system yet, but it could go that way.
Courtesy-Fud
IBM’s Watson To Power Self-Driving Cars
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Olli, a self-driving passenger shuttle running IBM Watson Internet of Things technology, made its debut in a shopping area of the Washington,D.C. suburbs.
While some “fine-tuning” of the self-driving features are needed, passengers, by this fall, should be able to ride around and speak directions to Olli on the private roads at the National Harbor shopping and entertainment area on the Maryland side of the Potomac River, according to a spokeswoman for Local Motors, the designer of Olli.
The vision is that Olli will be used in all kinds of venues, such as crowded urban areas, college and corporate campuses and theme parks. It could also become the “last mile” connection from a subway or bus stop to a job site. Miami-Dade County has ordered two of the vehicles for a pilot project there, said the Local Motors spokeswoman, Jacqueline Keidel.
Olli didn’t give any rides to reporters and bystanders at its Thursday debut, but the vehicle dropped off Local Motors CEO John Rogers with engineers standing by to offer assistance if needed.
“Olli offers a smart, safe and sustainable transportation solution that is long overdue,” Rogers said in a statement, adding that Olli with Watson “acts as our entry into the world of self-driving vehicles.”
Olli is the first vehicle to use cloud-based cognitive computing from IBM Watson Internet of Things to analyze and learn from 30 sensors embedded in the vehicle. Four Watson developer APIs were used that allow Olli to interact with passengers: speech to text, natural language classifier, entity extraction and text to speech.
Since Watson is web-enabled, Olli will also be able to answer questions about popular nearby restaurants or historical sites, at least according to how Local Motors and IBM have described the vehicle’s capabilities.
Green said IBM will expand its Watson IBM research by helping develop and create additional Ollis at Local Motors headquarters near Phoenix and at IBM Watson IoT’s AutoLab, an incubator for cognitive mobility applications. “We have a long term vision with Watson,” Keidel added.
Courtesy-http://www.thegurureview.net/aroundnet-category/ibms-watson-powers-self-driving-shuttle-olli-debuts-in-d-c.html
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
Is Tesla Poaching nVidia’s Engineers?
April 20, 2016 by admin
Filed under Around The Net
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Tesla Motors,’ which has been poaching engineers from Apple and AMD, could be causing a few headaches for Nvidia.
MKM analyst Ian Ing pointed out that Nvidia and Tesla have partnered in machine-learning which is the key to autonomous driving. Nvidia’s own automotive segment grew 80 per cent to $320 million in revenue.
It had been known that Tesla is swiping Apple and AMD engineers, but the difficulty is that it also needs staff from its old chum Nvidia. Ing said that Apple and AMD staff are not as steeped in graphics processing units and machine learning as Nvidia’s staff.
“Although there are widely reportedly headlines that Tesla has been hiring chip architects from Apple and AMD, we note that expertise has been focused more on multi-purpose application processors vs. the GPU accelerators necessary for machine learning,” Ing wrote.
This could either pressure Nvidia to work more closely with Tesla, or it too might lose staff to the carmarker. However that might be a small headache for Nvidia which is doing obscenely well, according to Ing. He is suggesting everyone should buy Nvidia shares.
Courtesy-Fud
GM Buys Cruise Automation
March 21, 2016 by admin
Filed under Around The Net
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General Motors the acquisition Cruise Automation for Cruise’s deep software talent and rapid development capability — a move designed to further accelerate GM’s development of autonomous vehicle technology.
Over the past two months, GM has entered into a $500 million alliance with ride-sharing company Lyft; formed Maven — its personal mobility brand for car-sharing fleets in many U.S. cities — and established a separate unit for autonomous vehicle development.
“This acquisition announcement clearly shows that GM is serious about developing the technology and controlling its own path to self-driving and driverless vehicles,” said Egil Juliussen, research director for IHS Automotive.
While GM did not disclose the financial details of the Cruise acquisition, reports estimated the purchase to be in the $1 billion range.
Founded in 2013, Cruise sells an aftermarket product that is positioned as a highway autopilot, according to IHS Automotive.
Vehicles using Cruise’s software cannot automatically changes lanes, but the technology does work at low speed and highway speed, meaning it’s classified between Level 2 and Level 3 in the National Highway Traffic Safety Administration’s levels of autonomous driving.
The NHTSA’s Level 3 includes limited self-driving automation and allows a driver to cede full control of all safety-critical functions under certain traffic or environmental conditions; Level 4 indicates a fully autonomous vehicle.
Cruise’s software was initially offered by Audi in its A4 and S4 vehicles as a $10,000 option that required installation work by Cruise. The product consisted of a sensor unit on top of the car and a computer in the trunk.
GM’s purchase of Cruise is likely to spur other carmakers “to react and determine what their strategy should be,” Juliussen said.
Other carmakers are likely to seek to become partners with Google and license Google’s self-driving and driverless software technology. Multiple manufacturers are likely to opt for a Google partnership, IHS said.
Source- http://www.thegurureview.net/aroundnet-category/gm-announces-acquisition-of-cruise-automation.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
Intel Shows New IoT Platform
Intel showed off a new platform which it claims makes it easier for companies to create Internet-connected smart products using its chips, security and software.
Intel’s platform is like Lego and based on the chipmaker’s components and software for companies to create smart, connected devices. The only difference is that you can’t enact your own Doctor Who scene from it.
Doug Davis, head of Intel’s Internet of Things business, said at a launch event in San Francisco it will make it a doddle to connect to data centres in order analyse data collected from devices’ sensors.
Intel’s chips should compute capability in end-point devices that scale from its highest performance Xeon processor to the Quark family of products.
Intel’s Internet of Things Group had $530 million in revenue in the September quarter. That accounted for just 4 percent of Intel’s total revenue in the quarter, but it grew 14 percent over the previous year, which was faster than the company’s PC business.
Dell, SAP, Tata Consultancy, Accenture and other companies are working with the new reference model, Davis said.
Hackers Going After Traffic Signs
After hackers played several high-profile pranks with traffic signs, including warning San Francisco drivers of a Godzilla attack, the U.S. government advised operators of electronic highway signs to take “defensive measures” to better secure their property.
Last month, signs on San Francisco’s Van Ness Ave were photographed flashing “Godzilla Attack! Turn Back” and highway signs across North Carolina were tampered with last week to read “Hack by Sun Hacker.”
The Department of Homeland Security’s Industrial Control Systems Cyber Emergency Response Team, or ICS-CERT, this week advised cities, highway operators and other customers of digital-sign maker Daktronics Inc to take “defensive measures” to minimize the possibility of similar attacks.
It said that information had been posted on the Internet advising hackers how to access those systems using default passwords coded into the company’s software. “ICS-CERT recommends entities review sign messaging, update access credentials and harden communication paths to the signs,” the agency said in an alert posted on Thursday.
Jody Huntimer, a representative for Daktronics, declined to say if the recent attacks involved the bug reported by ICS-CERT.
“We are working with the ICS-CERT team to clarify the current alert and will release a statement once we have assessed the situation and developed customer recommendations,” Huntimer said via email.
Krebs on Security, a widely read security blog, posted a confidential report from the Center for Internet Strategy, or CIS, which was sent to state security officials. It warned that the pranks created a public safety risk because drivers often slow or stop to view the signs and take pictures.
CIS also predicated that amateur hackers might attempt to hack into other systems in the coming weeks following the May 27 release of “Watch Dogs,” a video game from Ubisoft focused on hacking critical infrastructure.