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

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

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

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

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

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

The South Korean electronics giant is only the latest tech firm to make a somewhat belated push into the carmaker industry, as vehicle computer systems and sensors become more sophisticated.

In October, General Motors announced a strategic partnership with South Korea’s LG Electronics. LG will supply a majority of the key components for GM’s upcoming electric vehicle (EV), the Chevrolet Bolt. LG has also been building computer modules for GM’s OnStar telecommunications system for years.

Apple and Google have also developed APIs that are slowly being embedded by automakers to allow smartphones to natively connect and display their infotainment screens. Those APIs led to the rollout in several vehicles this year of Apple’s CarPlay and Android Auto.

Having formerly balked at the automotive electronics market as too small, consumer computer chipmakers are now entering the space with fervor.

Dutch semiconductor maker NXP is closing an $11.8 billion deal to buy Austin-based Freescale, which makes automotive microprocessors. The combined companies would displace Japan’s Renesas as the world’s largest vehicle chipmaker.

German semiconductor maker Infineon Technology has reportedly begun talks to buy a stake in Renesas.

Adding to growth in automotive electronics are regulations mandating technology such as backup cameras in the U.S. and “eCalling” in Europe, which automatically dials emergency services in case of an accident.

According to a report published by Thomson Reuters, Samsung and its tech affiliates are ramping up research and development for auto technology, with two-thirds of their combined 1,804 U.S. patent filings since 2010 related to electric vehicles and electric components for cars.

The combined automotive software, services and components market is worth around $500 billion, according to ABI Resarch.

Source-http://www.thegurureview.net/consumer-category/samsung-announces-entry-into-auto-industry.html