Safari 10 was introduced earlier this month as part of macOS Sierra, this year’s operating system upgrade.

Apple typically supports its newest browser on three editions of macOS: The latest version and its two predecessors. The now-current Safari 9, for example, receives updates, including security patches, on last year’s El Capitan, 2014′s Yosemite and 2013′s Mavericks.

Safari 10 will be supported on Sierra, El Capitan and Yosemite. Meanwhile, Mavericks will remain on Safari 9.

The Safari 10 preview is currently available only to registered Apple developers, who pay $99 annually for access to early builds, development tools and documentation.

The general public will get its first look at Safari 10 next month after Apple opens up its broader-based public beta program for Sierra. Those who have signed on to the beta preview will also be able to download preliminary versions of Safari 10 for El Capitan and Yosemite, running the preview browser but sticking with their older, more stable operating systems.

Some of Safari 10′s signature features will be available only within macOS Sierra, including web-based Apple Pay — where payment is authorized with an iPhone or Apple Watch — but others will be supported by older versions of the operating system. Among the most notable are the new ability for developers to distribute and sell Safari add-ons in the Mac App Store, and easy portability of iOS content blockers to macOS.

If Apple replicates last year’s beta schedule, it will release the first public preview of macOS Sierra and Safari 10 around July 14.

Courtesy http://www.thegurureview.net/aroundnet-category/apple-begins-testing-of-safari-10-browser.html

Collaborative robots, or “cobots”, tend to be inexpensive, easy to use and safe to be around. They can easily be adapted to new tasks, making them well-suited to small-batch manufacturing and ever-shortening product cycles.

Cobots can typically lift loads of up 10 kilograms (22 lb) and can be small enough to put on top of a workbench. They can help with repetitive tasks like picking and placing, packaging or gluing and welding.

Some can repeat a task after being guided once through the process by a worker and recording it. The price of a cobot can be as little as $10,000, although typically they cost two to three times that.

The global cobot market is set to grow from $116 million last year to $11.5 billion by 2025, capital goods analysts at Barclays estimate. That would be roughly equal to the size of the entire industrial robotics market today.

“By 2020 it will be a game-changer,” said Stefan Lampa, head of robotics of Germany’s Kuka, during a panel discussion organized by the International Federation of Robotics (IFR) at the Automatica trade fair in Munich.

Growth in industrial robot unit sales slowed to 12 percent last year from 29 percent in 2014, the IFR said on Wednesday, weighed by a sharp fall in top buyer China.

The world’s top industrial robot makers – Japan’s Fanuc and Yaskawa, Swiss ABB and Kuka – all have collaborative robots on the market, although sales are not yet significant for them.

But the market leader and pioneer is Denmark’s Universal Robots, a start-up that sold its first cobot in 2009 and was acquired by U.S. automatic test equipment maker Teradyne for $285 million last year.

Source-http://www.thegurureview.net/aroundnet-category/interest-grows-in-collaborative-robots.html

According to the slides published by Computerbase.de, both GPUs are based on AMD’s 4th generation Graphics Core Next (GCN 4.0) GPU architecture, offer 2.8 perf/watt improvement compared to the previous generation, have 4K encode and decode capabilities as well as bring DisplayPort 1.3/1.4 and HDR support.

Powering three different graphics cards, these two GPUs will cover different market segments, so the Polaris 10, codename Ellesmere, will be powering both the Radeon RX 480, meant for affordable VR and 1440p gaming as well as the recently unveiled RX 470, meant to cover the 1080p gaming segment. The Polaris 10 packs 36 Compute Units (CUs) so it should end up with 2304 Stream Processors. Both the RX 480 and RX 470 should be coming with 4GB or 8GB of GDDR5 memory, paired up with a 256-bit memory interface. The Ellesmere GPU offers over 5 TFLOPs of compute performance and should peak at 150W.

The Radeon RX 470 should be based on Ellesmere Pro GPU and will probably end up with both lower clocks as well as less Stream Processors and according to our sources close to the company, should launch with a US $179 price tag, while the RX 480 should launch on 29th of June with a US $199 price tag for a reference 4GB version. Most AIB partners will come up with a custom 8GB graphics cards which should probably launch at US $279+.

The Polaris 11 GPU, codename Baffin, will have 16 CUs and should end up with 1024 Stream Processors. The recently unveiled Radeon RX 460 based on this GPU should come with 4GB of GDDR5 memory paired up with a 128-bit memory interface. The Radeon RX 460 targets casual and MOBA gamers and should provide decent competition to the Geforce GTX 950 as both have a TDP of below 75W and do not need additional PCIe power connectors.

According to earlier leaked benchmarks, AMD’s Polaris architecture packs quite a punch considering both its price and TDP so AMD just might have a chance to get a much needed rebound in the market share.

Courtesy-Fud

As we have been saying for ages, Jobs’ Mob is no longer exclusively going with Qualcomm to provide modem chips for the upcoming iPhone 7. The deal, while large, is tailored for some of Apple’s partnerships. Intel gets AT&T phones and Qualcomm remains the supplier for Verizon network phones and for China.

The press has been claiming that it is terrible news for Qualcomm. But it appears Qualcomm knew it was coming and had already factored in the loss of the business into its results. The reason Qualcomm is not losing any sleep over the deal is because the most Intel is going to get is a third of the iPhone modems. This is what in financial terms is considered a “pisser” but hardly a reason to jump off any buildings over.

Other good things are happening to Qualcomm which more than balance out what has been lost to Intel. Firstly its latest Snapdragons are selling extremely well and secondly the shine is starting to go off its number one rival MediaTek.

For a while, naysayers have been predicting that MediaTek was going to sink Qualcomm. In fact there was even a suggestion that Qualcomm should get out of chipmaking and become a patent troll.

MediaTek had been luring away Qualcomm customers with cheaper chips, which combined with Apple, Samsung and Huawei making their own chips was creating a perfect storm of doom.

Now there is a suggestion that MediaTek’s growth wagon might have stalled. MediaTek’s sales fell 9.4 per cent annually last quarter to $1.7 billion. Its operating margin halved from 16 per cent last year to eight per cent. The reason was due to higher expenses across the board. This meant that its net income fell to $136 million. MediaTek is still more profitable than Qualcomm’s chipmaking division has a wafer thin 5 per cent last quarter.

Analysts expect MediaTek to post double-digit sales growth fuelled by rising demand for 4G smartphone chips in China. But its margins are also expected to keep contracting due to tough competition from Qualcomm and Spreadtrum.

Another risk for MediaTek is its dependence on China. Taiwan just got rid of the pro-unification KMT party, which controlled the presidency for the past eight years, in favour of the pro-independence DPP party.

MediaTek needs direct investments from mainland China to fight off Qualcomm, but it is finding that the Taiwanese government is blocking that sort of investment cash.

All this is giving Qualcomm a fighting chance in the area where it makes a lot of its cash. Sure its margins might be lower, but it still making more money. Enough so that it does not have to worry about losing a small about of dosh to Intel.

Courtesy-Fud

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

The revamped App Store will let developers advertise their wares in search results and give developers a bigger cut of revenues on subscription apps, while Apple said it has already dramatically sped up its app-approval process.

The goal is to sustain the virtuous cycle at the heart of the hugely lucrative iPhone business. Software developers make apps for the iPhone because its customers are willing to pay, and those customers, in turn, pay a premium for the device because it has the best apps.

The store is now more strategically important than ever for Apple as sales of the iPhone begin to level off and the company looks to software and services to fill the gap. Apple CEO Tim Cook said on a recent conference call that App Store revenues were up 35 percent over last year.

But the store is also a victim of its own success. Eight years after its launch, it is packed with more than 1.9 million apps, according to analytics firm App Annie, making it almost impossible for developers to find an audience – and increasingly difficult for customers to find what they need, as some 14,000 new apps arrive in the store each week.

“The app space has grown out of control,” said Vint Cerf, one of the inventors of the internet and now a vice president at Alphabet Inc’s Google, who was speaking at a San Francisco conference on the future of the web on Wednesday. “We need to move away from having an individual app for every individual thing you want to do.”

Courtesy-http://www.thegurureview.net/mobile-category/apple-rolls-out-a-revamped-app-store.html

The Micron 1100 SSD is a more mainstream oriented SSD that will be based on Marvell’s 88SS1074 controller and Micron’s 384Gb 32-layer TLC NAND. Using a SATA 6Gbps interface and available in M.2 and 2.5-inch form-factors, the Micron 1100 should replace Micron’s mainstream M600 series, based on 16nm MLC NAND.

The Micron 1100 SSD will be available in 256GB, 512GB, 1TB and 2TB capacities. It will offer sequential performance of up to 530MB/s for read and up to 500MB/s for write with random 4K performance of up to 92K for read and up to 83K IOPS for write. With such performance, it is obvious that the Micron 1100 series will target mainstream market and be a budget SSD.

The Micron 2100 is an M.2 PCIe NVMe SSD that is actually Micron’s first client oriented PCIe SSD and also the first PCIe SSD based on 3D NAND. Unfortuantely, Micron did not finalize the precise specifications so we still do not have precise performance numbers but it will be available in capacities reaching 1TB.

The Micron 1100 is expected to hit mass production in July so we should expect some of the first drives by the end of the next month. The Micron 2100 will be coming by the end of summer.

Courtesy-Fud

In an IDC interview Intel’s data center boss said that Nvidia gained an early lead in the market for accelerated HPC workloads when it positioned its GPUs for that task several years ago. However there is a perception that processors used for machine learning today are GPUs like those from Nvidia and AMD.

Bryant was a bit miffed when she was asked how Intel can compete in this market without a GPU. She said that the general purpose GPU, or GPGPU was just another type of accelerator and not one that’s uniquely suited to machine learning.
It is better to look at Knights Landing which is a coprocessor, but it’s an accelerator for floating point operations, and that’s what a GPGPU too.

She said that since the release of the first Xeon Phi in 2014, Intel now clawed back 33 percent of the market for HPC workloads that use a floating point accelerator.

“So we’ve won share against Nvidia, and we’ll continue to win share,” she said.

She said that Intel’s share of the machine learning business may be much smaller, but the market is still young.

“Less than one percent of all the servers that shipped last year were applied to machine learning, so to hear Nvidia is beating us in a market that barely exists yet makes me a little crazy,” she says.

Intel will continue to evolve Xeon Phi to make it better at machine learning tasks. She said that there are two aspects to machine learning – training the algorithmic models, and applying those models to the real world in front-end applications. Intel’s FPGAs and its Xeon processors mean Intel has both sides of the equation covered.

But Nvidia’s GPUs are harder for programmers to work with which could give Intel an edge as ordinary businesses need to adopt machine learning. Knights Landing is “self-booting,” which means customers don’t need to pair it with a regular Xeon to boot an OS.
However Intel’s newest Xeon Phi has a floating point performance of about 3 teraflops, which is a little slow compared to the five teraflops for Nvidia’s new GP100.

Courtesy-Fud

The company will acquire Israel-based EZSource, it said, in the hopes of helping developers “quickly and easily understand and change mainframe code.”

EZSource offers a visual dashboard that’s designed to ease the process of modernizing applications. Essentially, it exposes application programming interfaces (APIs) so that developers can focus their efforts accordingly.

Developers must often manually check thousands or millions of lines of code, but EZSource’s software instead alerts them to the number of sections of code that access a particular entity, such as a database table, so they can check them to see if updates are needed.

IBM’s purchase is expected to close in the second quarter of 2016. Terms of the deal were not disclosed.

Sixty-eight percent of the world’s production IT workloads run on mainframes, IBM said, amounting to roughly 30 billion business transactions processed each day.

“The mainframe is the backbone of today’s businesses,” said Ross Mauri, general manager for IBM z Systems. “As clients drive their digital transformation, they are seeking the innovation and business value from new applications while leveraging their existing assets and processes.”

EZSource will bring an important capability to the IBM ecosystem, said Patrick Moorhead, president and principal analyst with Moor Insights & Strategy.

“While IBM takes advantage of a legacy architecture with z Systems, it’s important that the software modernizes, and that’s exactly what EZSource does,” Moorhead said.

Large organizations still run a lot of mainframe systems, particularly within the financial-services sector, noted analyst Frank Scavo, president of Computer Economics.

“As these organizations roll out new mobile, social and other digital business experiences, they have no choice but to expose these mainframe systems via APIs,” Scavo said.

But in many large organizations, skilled mainframe developers are in short supply — especially those who really understand these legacy systems, he added.

“Anything to increase the productivity of these developers will go a long way to ensuring the success of their digital business initiatives,” Scavo said. “Automation tools to discover, expose and analyze the inner workings of these legacy apps are really needed.”

It’s a smart move for IBM, he added.

Source- http://www.thegurureview.net/computing-category/looking-to-transform-mainframe-business-ibm-acquires-ezsource.html

The new test chip contains ARM’s yet-to-be-announced “Artemis” CPU core which is named after a goddess who will turn you into deer and tear you apart with wild dogs if you ever see her. [The NDA must have been pretty tough on this chip.ed]

In fact things have been ticking along on this project for ages. ARM discloses that tapeout actually took place back in December last year and is expecting silicon to come back from the foundry in the following weeks.

ARM actually implemented a full four-core Artemis cluster on the test chip which should show vendors what is possible for their production designs. The test chip has a current generation Mali GPU implementation with 1 shader core to show vendors what they will get when they use ARM’s POP IP in conjunction with its GPU IP. There is also a range of other IP blocks and I/O interfaces that are used to validation of the new manufacturing process.

TSMC’s 10FF manufacturing process is supposed to increase density with scaling’s of up to 2.1x compared to the previous 16nm manufacturing node. It also brings about 11-12 per cent higher performance at each process’ respective nominal voltage, or a 30 per cent reduction in power.

ARM siad that comparing a current Cortex A72 design on 16FF+ and an Artemis core on 10FF on the new CPU and process can halve the dynamic power consumption. Currently clock frequencies on the new design are still behind the older more mature process and IP, but ARM expects this to improve as it optimizes its POP and the process stabilizes.

Courtesy-Fud