Samsung’s next generation Exynos’ name is very uninspired. You don’t call your much better chip just the Exynos 8895, but that might not be the final name.

The Korean giant went from Exynos 7420 for Galaxy S5 and first 14nm for Android followed a year after with Exynos 8890 still 14nm but witha  custom Exynos M1 “Mongoose” plus Cortex-A53eight core combination.

The new SoC is rumored to come with a 4GHz clock. The same leak suggests that the Snapdragon 830 can reach 3.6 GHz which would be quite an increase from the 2.15Ghz that the company gets with the Snapdragon 820. Samsung’s Exynos 8890 stops at 2.6GHz with one or two cores running while it drops to 2.3 GHz when three of four cores from the main cluster run. Calls us sceptics for this 4GHz number as it sounds like quite a leap from the previous generation.

Let us remind ourselves that the clock speed is quite irrelevant as it doesn’t mean anything, and is almost as irrelevant as an Antutu score. It tells you the maximal clock of a SoC but you really want to know the performance per watt or how much TFlops you can expect in the best case. A clock speed without knowing the architecture is insufficient to make any analysis. We’ve seen in the past that 4GHz processors were slower than 2.5GHz processors.

The fact that Samsung continued to use Snapdragon 820 for its latest greatest Galaxy Note 7 means that the company still needs Qualcomm and we don’t think this is going to change anytime soon. Qualcomm traditionally has a better quality modem tailored well for USA, China, Japan and even the complex Europe or the rest of the world.

Courtesy-Fud

Founded in 2014, California-based Nervana offers a hosted platform for deep learning that’s optimized “from algorithms down to silicon” to solve machine-learning problems, the startup says.

Businesses can use its Nervana cloud service to build and deploy applications that make use of deep learning, a branch of AI used for tasks like image recognition and uncovering patterns in large amounts of data.

Also of interest to Intel, Nervana is developing a specialty processor, known as an ASIC, that’s custom built for deep learning.

Financial terms of the deal were not disclosed, but one estimate put the value above $350 million.

“We will apply Nervana’s software expertise to further optimize the Intel Math Kernel Library and its integration into industry standard frameworks,” Diane Bryant, head of Intel’s Data Center Group, said in a blog post. Nervana’s expertise “will advance Intel’s AI portfolio and enhance the deep-learning performance and TCO of our Intel Xeon and Intel Xeon Phi processors.”

Though Intel also acquired AI firm Saffron late last year, the Nervana acquisition “clearly defines the start of Intel’s AI portfolio,” said Paul Teich, principal analyst with Tirias Research.

“Intel has been chasing high-performance computing very effectively, but their hardware-design teams missed the convolutional neural network transition a few years ago,” Teich said. CNNs are what’s fueling the current surge in artificial intelligence, deep learning and machine learning.

As part of Intel, Nervana will continue to operate out of its San Diego headquarters, cofounder and CEO Naveen Rao said in a blog post.

The startup’s 48-person team will join Intel’s Data Center Group after the deal’s close, which is expected “very soon,” Intel said.

Source- http://www.thegurureview.net/aroundnet-category/intel-to-acquire-deep-learning-company-nervana.html

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

The world’s biggest online retailer, which has laid out plans to start using drones for deliveries by 2017, said a cross-government team supported by the UK Civil Aviation Authority had provided it with the permissions necessary to explore the process.

Amazon unveiled a video last year showcasing how an unmanned drone could deliver packages, narrated by former Top Gear TV host Jeremy Clarkson.

The U.S. Federal Aviation Administration said last month the use of drones for deliveries will require separate regulation from their general use.

Wal-Mart Stores Inc said last month it was six to nine months from beginning to use drones to check warehouse inventories in the United States.

Source-http://www.thegurureview.net/aroundnet-category/u-k-regulators-give-amazon-permission-to-explore-drone-deliveries.html

One of the early adopters, Bank of America, said this week it currently supports cardless technology at 2,800 of its ATMs. That number will reach 8,000 ATMs by year’s end that rely on NFC and other technology. Bank of America, which has about 15,000 ATMs nationwide, created a video to show how a smartphone loaded with the bank’s mobile app can now withdraw cash from some ATMs.

Wells Fargo said it has a “handful” of ATMs that are NFC-ready and working to deliver cash and other transactions and is planning to reach 5,000 by the end of 2016. A total of 12,000 ATMs will be enabled in 2017.

JPMorgan Chase said it also will have many cardless ATMs available this year, but didn’t specify how many or when. Initially at Chase, customers will show up at an ATM and type in a numerical code they acquired wirelessly through use of the Chase smartphone app to get their cash. That numerical code verification process will be an early step in rolling out cardless technology at the bank’s nearly 15,000 ATMs.

In addition to using NFC or a numerical code to authenticate a transaction, some bank ATMs are expected to rely on scanning a QR code displayed on a phone.

The number of ATMs supporting cardless cash remains a small portion of the estimated 500,000 ATMs in the U.S. Crone Consulting, which monitors the mobile payment industry, recently said it expects about 95,000 ATMs in the U.S. to support cardless cash by year’s end.

Courtesy-http://www.thegurureview.net/mobile-category/nfc-for-atm-transactions-catching-on.html

The Redmond, Wash. company regularly talks up the latest subscription numbers for the consumer-grade Office 365 plans — the $100 a year Home and the $70 Personal — and did so again this week during an earnings call with Wall Street analysts.

“We also see momentum amongst consumers, with now more than 23 million Office 365 subscribers,” CEO Satya Nadella said Tuesday.

But analysis of Microsoft’s consumer Office 365 numbers showed that the rate of growth — or as Nadella put it, “momentum” — has slowed.

For the June quarter, the 23.1 million cited by Microsoft in its filing with the U.S. Securities & Exchange Commission (SEC) represented a 52% increase over the same period the year prior. Although most companies would give their eye teeth — or maybe a few executives — to boast of a rate of increase that size, it was the smallest since Microsoft began providing subscription data in early 2013.

A year before, the June 2015 quarter sported a consumer Office 365 subscription growth rate of 171% over the same three-month span in 2014.

The subscription increase also was small in absolute terms: Microsoft added approximately 900,000 to the rolls during the June quarter, down from 2.8 million the year before and also less than the 1.6 million accumulated in 2016′s March quarter.

The 900,000 additional subscribers added in the June quarter were the smallest number in more than two years.

While Microsoft did not directly address the slowing of growth in the consumer Office 365 market, it did attribute a similar trend among corporate subscriptions to the difficulty of maintaining huge year-over-year percentage gains as the raw numbers of subscriptions increased.

Courtesy-http://www.thegurureview.net/aroundnet-category/microsofts-office-365-subscription-slows-signficantly.html

The group, which also includes Intercede and Solacia, has created The Open Trust Protocol (OTrP) that is now available for download for prototyping and testing from the IETF website.

The OTrP is designed to bring system-level root trust to devices, using secure architecture and trusted code management, akin to how apps on smartphones and tablets that contain sensitive information are kept separate from the main OS.

This will allow IoT manufacturers to incorporate the technology into devices, ensuring that they are protected without having to give full access to a device OS.

Marc Canel, vice president of security systems at ARM, explained that the OTrP will put security and trust at the core of the IoT.

“In an internet-connected world it is imperative to establish trust between all devices and service providers,” he said.

“Operators need to trust devices their systems interact with and OTrP achieves this in a simple way. It brings e-commerce trust architectures together with a high-level protocol that can be easily integrated with any existing platform.”

Brian Witten, senior director of IoT security at Symantec, echoed this sentiment. “The IoT and smart mobile technologies are moving into a range of diverse applications and it is important to create an open protocol to ease and accelerate adoption of hardware-backed security that is designed to protect onboard encryption keys,” he said.

The next stage is for the OTrP to be further developed by a standards-defining organisation after feedback from the wider technology community, so that it can become a fully interoperable standard suitable for mass adoption.

Courtesy-TheInq

Qualcomm offered $5.2 billion to $6 billion revenue guidance and it managed to make $6 billion. Non-GAAP diluted EPS was projected at $0.90 – $1.00 and Qualcomm actually managed to make $1.16.

The MSM chip shipments were guided at 175 million to 195 million while the company actually sold 201 million of these chips.

Total reported device sales was expected to be between $52 billion and  $60 billion and in reality Qualcomm scored $62.6 billion. Qualcomm shipped between 321 million to  325 million 3G/4G devices and estimated reported 3G/4G device average selling price was at $191 – $197.

There are a few reasons for such good results, the first being Samsung. The company chose Snapdragon 820 for some markets with its flagship phones. The Snapdragon 820 ended up in 115 devices and it looks like one of the strongest high end phone chips in a while.

The introduction of the Snapdragon 821 will rekindle the fire and will make some additional sales for Samsung Galaxy Note 7 and a few other high end phones including some phones from LG and others. The 4G modem business is in good shape but one has to be careful as Qualcomm might lose some of the iPhone business to Intel. Everyone wants carrier aggregation capable modems these days, that is Cat 6 and up and Qualcomm offers this from Snapdragon 430 to the Snapdragon 820.

It is interesting to notice that while Apple iPhone sales were down, Qualcomm did better mainly as when Apple declines at   the high end, Qualcomm can make money from its high end Snapdragon chips.

We expect to see the announcement of Snapdragon 830 before the end of the year while devices shipping with the new chip in late Q1 2017 or early Q2 2017. As far as we know this might be the 10nm SoC but we will have to wait and see.

Qualcomm is investing heavily in improvements of 4G, current and future generations as well as a concentrated focus on 5G. From where we stand, Qualcomm still has the best chances to dominate the 5G market, especially due to the fact that 5G is an evolution of 4G with some new wave length and concepts added to it.

Last year’s loss of Samsung Galaxy S6 design win hurt a lot, and now the big customer is back, it seems that investing in a custom ARM Kryo core and dominating in Adreno graphics paid off.

Courtesy-Fud

Snowy Owl has 16 cores and 32 threads, all based on 14nm FinFET Zen transistors. The processor supports up to 32MB of shared L3 cache. We also mentioned a processor cluster codenamed Zeppelin. This seems to be the key to the Zen architecture as more Zeppelin clusters are creating more core Opterons.

Each Zeppelin has eight Zen cores and each Zen core has 512KB dedicated L2 cache memory. Four Zen cores share 8MB of L3 memory making the total L3 cache size  16MB.  Zeppelin (ZP) comes with PCIe Gen 3, SATA 3, 10GbE, sever controller Hub, AMD secure processor as well as the DDR4 Memory controller. AMD is using a super-fast coherent interconnect to create more than one Zeppelin core.

One Zeppelin cluster would make an 8 core, 16 thread CPU with 4MB L2 and 16MB L3 cache and in our case product codenamed Snowy owl has 16 cores, 32 threads 8MB of L2 (512KB x 16) and 32MB L3 (4x8MB).

The Snowy Owl with 16 cores uses a SP4 Multi Chip Module (MCM) BGA socket, while the Naples uses MCM based SP3. These two are not pin compatible but 16 and 8 core Zen based Opterons will fit in the same socket.

Snowy Owl has four independent memory channels and up to 64 lanes of PCIe Gen3. When it comes to storage, it supports up to 16 SATA or NVME storage channels and 8x10GbE for some super-fast networking solutions.

As you see, there will be plenty of Zen based Opteron possibilities and most of them will start showing up by mid-2017.  The TDP Range for Snowy Owl is sub 100W and capable of sinking the TDP down to 35W. Yes, we do mean that there may well be a quad core Zen Opteron too.

Courtesy-Fud

The limited testing on Messenger, which has more than 900 million users, comes three months after Facebook rolled out end-to-end encryption to its more popular WhatsApp, a messaging application with over 1 billion users that it acquired in October 2014.

The move comes amid widespread global debate over the extent to which technology companies should help law enforcement snoop on digital communications.

End-to-end encryption is also offered on Apple Inc’s iMessage platform as well as apps including LINE, Signal, Viber, Telegram and Wickr.

Facebook Messenger uses the same encryption technology as WhatsApp, which uses a protocol known as Signal that was developed by privately held Open Whisper Systems.

“It seems well designed,” said Matthew Green, a Johns Hopkins University cryptologist who helped review an early version of the protocol for Facebook.

While WhatsApp messages are encrypted by default, Facebook Messenger users must turn on the feature to get the extra additional security protection, which scrambles communications so they can only be read on devices at either end of a conversation.

Facebook said that it was requiring users to opt in to encryption because the extra security is not compatible with some widely used Messenger features.

“Many people want Messenger to work when you switch between devices, such as a tablet, desktop computer or phone,” the company said in an announcement on its website. “Secret conversations can only be read on one device and we recognize that experience may not be right for everyone.”

Facebook also said that Messenger users cannot send videos or make payments in encrypted conversations.

Courtesy-http://www.thegurureview.net/aroundnet-category/end-to-end-encryption-comes-to-facebook-messenger.html