The increased performance of the new Shield TV enables it to deliver 4K HDR streaming video. Nvidia said the new shield is the first device to offer 4K HDR content from both Netflix and Amazon Video. The device can also access standard 4K streams from Netflix, YouTube, Google Play Movies, and VUDU. And in the coming months, YouTube’s TV app will launch on Shield TV, which will let you stream immersive 360-degree YouTube videos to your TV.
The most surprising update for the new Shield TV is without a doubt the device’s newfound AI capabilities. Nvidia worked with Google to integrate Google Assistant into the new Shield TV, which allows you to ask Shield TV to do things for you with voice commands. The concept is like the voice command options that Microsoft’s Xbox One allows, but Nvidia took its system to the next level.
Huang likened the Shield TV’s AI capabilities to Tony Stark’s J. A. R. V. I. S. AI assistant. The new Shield TV includes SmartThings Hub technology, which allows you to link a wide range of smart devices. Shield TV can effectively act as the central control system for an entire connected home controlled by voice commands.
“We’re excited to be part of the new Shield TV, powered by the Android TV platform,” said Sascha Prueter, director of Android TV at Google. “When the Google Assistant comes to Android TV in the coming months, Shield users will be able to enjoy a hands-free Android TV experience through ‘Ok Google’ voice commands.”
Nvidia’s new Shield TV can manage a smart home, but it requires your voice input to execute tasks, which means you must be within earshot of the device’s microphone. That’s fine if you want to dim the lights in the room that you keep your Shield TV, but if you want to listen to music in another room, saying “OK, Google” isn’t going to do you much good. That is, unless you have a microphone system elsewhere in your home.
If the idea of having your own personal J. A. R. V. I. S. outweighs to potential Orwellian ramifications of having such a device in your home, you can pre-order one now. Nvidia is asking $200 for the base Shield TV device, which it intends to ship to customers later this month. The Spot AI microphone will be available later this year for $50.

© Source: http://www.tomshardware.com/news/nvidia-shield-tv-home-ai,33337.html
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Android TV watchers rejoice, you’ll soon be able to yell commands at your television set. Google on Wednesday announced via a blog that Google Assistant, its Siri-like virtual assistant, is coming to Android TV.

© Source: https://www.cnet.com/news/google-assistant-coming-android-tv-ces-2017/
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Nvidia CEO Jen-Hsun Huang holds up Xavier, a powerful computer designed to be the brains of self-driving cars.
Nvidia founder and CEO Jen-Hsun Huang used his keynote address during CES 2017 to show off a new computer, named Xavier, to enable self-driving cars , and to lay out how the company’s self-driving car platform works.
Backing up his product announcements, Huang went on to call out new partnerships to cement Nvidia’s place in the automotive industry.
„We would like to turn every car into an [artificial intelligence],“ Huang said. To support that goal, he brought Scott Keogh, Audi of America’s president, out onto the stage to announce a partnership that promises highly-automated Audi vehicles by 2020. The term highly-automated usually means cars that can drive themselves under certain circumstances, like while on certain freeways.
Automakers, automotive equipment suppliers and technology companies have all been working on self-driving car research. The goals around self-driving involve reducing or eliminating car accidents, which caused more than 30,000 deaths on US roads last year; reducing traffic, which wastes fuel and people’s time; and enabling automated car sharing services, which could make it possible for many people to live without the expense of a car.
During his keynote, Huang said Nvidia has been developing self-driving technology for 10 years. Xavier will be a new generation of driving computer from Nvidia, following up on previous efforts. This computer would be the brains of a self-driving car, processing data from sensors, determining the car’s location from maps and making driving decisions.
Xavier, a system on a chip, uses an octa-core ARM64 processor and Nvidia’s new Volta graphics processing unit (GPU) architecture to do 30,000 TOPS (trillion operations per second). Nvidia emphasizes its GPU expertise as the basis for performing the environment assessment needed for self-driving cars. Huang pointed out that machine learning, essential for cars to recognize obstacles, advanced thanks to the GPU.
As an interstitial development towards self-driving cars, Huang described a new platform from Nvidia called AI Co-Pilot. This system consists of sensors to detect a car’s surroundings and cameras in the cabin to monitor the driver. This system gives a car many of the sensors and intelligence it would need for self-driving, but still relies on a human driver.
AI Co-Pilot would alert the driver of potential threats around their car, such as a fast-moving motorcycle. By tracking the driver’s gaze, it can also warn of another car in a direction in which they’re not looking.
One of the more remarkable capabilities of AI Co-Pilot is its ability to read lips, with what Huang claimed was 95 percent accuracy. Computer lip reading could make for far more accurate voice command.
For partnerships to bring this self-driving technology to production, Huang announced that Nvidia would be working with two digital mapmakers, Here and Zenrin. Here is a consortium owned by BMW, Audi and Mercedes-Benz, while Zenrin builds digital maps of Japanese cities. Nvidia previously signed deals with Chinese mapmaker Baidu and TomTom.
ZF and Bosch are both large automotive equipment suppliers which will begin using Nvidia’s self-driving technology. ZF previously announced ZF ProAI, a self-driving platform using Nvidia technology, that it will offer to car and truck makers.
The Audi deal builds on previous partnerships between Nvidia and the German automaker. Audi has used Nvidia graphics chips to power its infotainment systems and instrument cluster displays.
Nvidia faces stiff competition in marketing its self-driving car technologies, but the automotive industry is likely to adopt self-driving rapidly over the next ten years, making for a great amount of opportunity.

© Source: https://www.cnet.com/roadshow/news/nvidia-invents-self-driving-supercomputer-names-it-xavier-ces-2017/
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The Asrock motherboard… damn, looks wicked!!
I am excited to see all these new motherboard. They look gorgeous.
Not a huge fan of all the unnecessary heatsinks and decorations which are only there for looks and don’t actually enhance the performance or reliability. Still it’s nice to see AMD feeling confident in aiming for the enthusiast or „gamer“ market, where performance and the number of blue LEDs are crucial.

© Source: http://www.tomshardware.com/news/amd-ryzen-chipset-motherboard-system,33339.html
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Qualcomm is taking aim at Intel’s dominance in high-end computing with the unveiling of the ‚world’s first‘ 10-nanometer (nm) server microprocessor.
The Qualcomm Centriq 2400 series, the first in the Centriq product family that Qualcomm has been working on for four years, has up to 48 ARMv8-compliant cores targeting compute-intensive data centre applications that also require power efficiency, and is built on the 10nm FinFET manufacturing process.
This sees the company taking aim at Intel’s lucrative server business which isn’t expected to deliver any 10nm chips until the second half of 2017 at the earliest, with server processors not likely to arrive until 2018.
„The Qualcomm Centriq 2400 series processors will drive high performance, power-efficient ARM-based servers from concept to reality,“ said Anand Chandrasekher, senior vice president and general manager of Qualcomm Datacenter Technologies.
„Qualcomm requires the leading edge of integrated circuit technology to deliver high performance at low power for the newest premium smartphones.
„We are first in 10nm integrated-circuit technology for mobile and, leveraging our expertise in ARM processors and system-on-chip design, we are the first with our Qualcomm Centriq family of server processors to bring the leading edge to the data centre. “
At a launch event, Qualcomm demonstrated Apache Spark and Hadoop on Linux and Java running on a Qualcomm Centriq 2400 processor.
The Qualcomm Centriq 2400 processor series is now sampling to key prospective customers and is expected to be commercially available in the second half of 2017.
The launch of the Centriq 2400 series comes just weeks after Qualcomm showed off its first 10nm mobile chip, the Snapdragon 835 .
This processor, expected to debut inside next year’s Samsung Galaxy S8 , is said to offer a 30 per cent increase in area efficiency yielding 27 per cent better performance compared to Qualcomm’s 14nm Snapdragon 821 chip, along with 40 per cent lower power consumption.
Using 10nm FinFET, the Snapdragon 835 processor will also have a smaller chip footprint, giving OEMs more usable space inside upcoming products to support larger batteries or slimmer designs.
Qualcomm is taking aim at Intel’s dominance in high-end computing with the unveiling of the ‚world’s first‘ 10-nanometer (nm) server microprocessor. The Qualcomm Centriq 2400 series, the first in the Centriq product family that Qualcomm has been working on for four years, has up to 48 ARMv8-compliant cores targeting compute-intensive data centre applications that also require power efficiency, and is built on the 10nm FinFET manufacturing process. This sees the company taking aim at Intel’s lucrative server business which isn’t expected to deliver any 10nm chips until the second half of 2017 at the earliest, with server processors not likely to arrive until 2018. „The Qualcomm Centriq 2400 series processors will drive high performance, power-efficient ARM-based servers from concept to reality,“ said Anand Chandrasekher, senior vice president and general manager of Qualcomm Datacenter Technologies. „Qualcomm requires the leading edge of integrated circuit technology to deliver high performance at low power for the newest premium smartphones. „We are first in 10nm integrated-circuit technology for mobile and, leveraging our expertise in ARM processors and system-on-chip design, we are the first with our Qualcomm Centriq family of server processors to bring the leading edge to the data centre. “ At a launch event, Qualcomm demonstrated Apache Spark and Hadoop on Linux and Java running on a Qualcomm Centriq 2400 processor. The Qualcomm Centriq 2400 processor series is now sampling to key prospective customers and is expected to be commercially available in the second half of 2017. The launch of the Centriq 2400 series comes just weeks after Qualcomm showed off its first 10nm mobile chip, the Snapdragon 835. This processor, expected to debut inside next year’s Samsung Galaxy S8, is said to offer a 30 per cent increase in area efficiency yielding 27 per cent better performance compared to Qualcomm’s 14nm Snapdragon 821 chip, along with 40 per cent lower power consumption. Using 10nm FinFET, the Snapdragon 835 processor will also have a smaller chip footprint, giving OEMs more usable space inside upcoming products to support larger batteries or slimmer designs.

© Source: http://www.computing.co.uk/ctg/news/3001924/qualcomm-takes-aim-at-intel-with-10nm-server-microprocessors
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