Is nVidia’s Auto Venture Paying Off?
August 17, 2016 by admin
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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
Elon Musk Opens Gym For AI Programmers
Techie entrepreneur Elon Musk has rolled out an open-source training “gym” for artificial-intelligence programmers.
It’s an interesting move for a man who in 2014 said artificial intelligence, or A.I., will pose a threat to the human race.
“I think we should be very careful about artificial intelligence,” Musk said about a year and a half ago during an MIT symposium. “If I were to guess at what our biggest existential threat is, it’s probably that… with artificial intelligence, we are summoning the demon. In all those stories with the guy with the pentagram and the holy water, and he’s sure he can control the demon. It doesn’t work out.”
Today, Musk is moving to help programmers use A.I. and machine learning to build smart robots and smart devices.
“We’re releasing the public beta of OpenAI Gym, a toolkit for developing and comparing reinforcement learning (RL) algorithms,” wrote Greg Brockman, OpenAI’s CTO, and John Schulman, a scientist working with OpenAI, in a blog post . “We originally built OpenAI Gym as a tool to accelerate our own RL research. We hope it will be just as useful for the broader community.”
The OpenAI Gym is meant as a tool for programmers to use to teach their intelligent systems better ways to learn and develop more complex reasoning. In short, it’s meant to make smart systems smarter.
Musk is a co-chair of OpenAI, a $1 billion organization that was unveiled last December as an effort focused on advancing artificial intelligence that will benefit humanity.
While Musk has warned of what he sees as the perils of A.I., it’s also a technology that he needs for his businesses.
The OpenAI Gym is made up of a suite of environments, including simulated robots and Atari games, as well as a site for comparing and reproducing results.
It’s focused on reinforcement learning, a field of machine learning that involves decision-making and motor control.
According to OpenAI, reinforcement learning is an important aspect of building intelligent systems because it encompasses any problem that involves making a sequence of decisions. For instance, it could focus on controlling a robot’s motors so it’s able to run and jump, or enabling a system to make business decisions regarding pricing and inventory management.
Two major challenges for developers working with reinforcement learning are the lack of standard environments and the need for better benchmarks.
Musk’s group is hoping that the OpenAI Gym addresses both of those issues.
Source- http://www.thegurureview.net/aroundnet-category/elon-musk-opens-training-gym-for-ai-programmers.html
Is Tesla Poaching nVidia’s Engineers?
April 20, 2016 by admin
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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
Tesla Updates Charging Software
January 22, 2014 by admin
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Tesla Motors Inc is making changes to prevent overheating of its charging systems, including giving customers upgraded wall adapters and providing charging-software upgrades, the electric-car company said on Friday.
The moves come after a November garage fire involving a Model S in Irvine, California, which the Orange County Fire Authority said may have been caused by a Tesla charging system or by a connection at the electricity panel on the wall of the garage.
At the time, Tesla disagreed with the fire officials’ findings, denying that the charging electronics were related to the fire. A Tesla spokeswoman did not immediately respond to a question on Friday about whether the upgrades were related to the Irvine fire.
In a Friday press release, Tesla said that its goal was to prevent excessive heating of the adapters used to charge its cars. A variety of factors ranging from corrosion to inappropriate wiring of electrical outlets can cause overheating, the company said.
A December tweak to its charging software tackles the issue through reducing charging by 25 percent if the charging system detects fluctuations in power entering the vehicle, Tesla said.
“Tesla believes that this software update fully addresses any potential risks,” the release said. But as a precaution, it said it would make available an improved wall adapter with a thermal fuse for affected customers, staring in a few weeks.
Separately, three road fires in Model S sedans caused Tesla’s stock to fall sharply in October.
The fires occurred in Washington state, Tennessee and Mexico. In the U.S. incidents, Model S sedans caught fire after running over road debris. In Mexico, a Model S caught fire after striking a concrete wall.
On Friday, Tesla’s stock fell 1.23 percent to $145.72, up from levels under $120 in late November but down from its high of $194.50 in late September.