Did Qualcomm Snub Intel?

Earlier this year Intel made a lot of noise about leasing its foundries to third parties, but at least one big played does not appear to be interested.

Speaking at a tech conference, Qualcomm CEO Paul Jacobs said his company is not interested in using Intel fabs and that it will continue to cooperate with established foundries like TSMC.

Jacobs argued that Intel is great at building huge volumes of equally huge cores, but TSMC is a tad more flexible. He pointed out that foundries like TSMC can run build multiple different products simultaneously, controlling the process using software.
“Intel is famous, has been known for having a copy-exact model, so they need very large volumes of a particular chip to run through that,” Jacobs said, reports ITProPortal.

However, Jacobs did point out that he was glad to hear Intel is joining the foundry space and that it will be interesting to see how it plays out.

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Bluetooth 4.1 Goes IPV6

The Bluetooth Special Interest Group (SIG) has announced Bluetooth 4.1, the first version of Bluetooth to lay the foundations for IPV6 capability.

The first hints of what the Bluetooth SIG had planned for this new version were revealed to The INQUIRER in October during our exclusive interview with Steve Hegenderfer at Appsworld. There, he revealed his aspirations for the Bluetooth protocol to become integral to the Internet of Things.

At the front end of Bluetooth 4.1, the biggest change for users is that the retry duration for lost devices has been increased to a full three minutes, so if you wander off with your wireless headphones still on, there’s more of a chance of being able to seamlessly carry on listening upon your return.

Behind the scenes, devices fitted with Bluetooth 4.1 will be able to act as both hub and end point. The advantage of this is that multiple devices can share information between them without going via the host device, so your smartwatch can talk to your heart monitor and send the combined data in a single transmission to your smartphone.

This sort of “pooling” of devices represents an “extranet of things”, and the technology can therefore be applied to a wider area in forming the “Internet of Things” too.

The other major additions are better isolation techniques to ensure that Bluetooth, which broadcasts on an unregulated band, doesn’t interfere either with itself or with signals from other protocols broadcasting at similar frequencies, including WiFi.

The Bluetooth protocol has retained complete backwards compatibility, so a new Bluetooth 4.1 enabled device will work seamlessly with a Bluetooth 1.0 dongle bought in a pound shop.

In addition, Bluetooth 4.0 devices can be Bluetooth 4.1 enabled through patches, so we should see some Bluetooth 4.1 enabled hardware arrive early in 2014.

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IBM To Become Cloud Broker

IBM is in the throes of developing software that will allow organizations to use multiple cloud storage services interchangeably, reducing dependence on any single cloud vendor and ensuring that data remains available even during service outages.

Although the software, called InterCloud Storage (ICStore), is still in development, IBM is inviting its customers to test it. Over time, the company will fold the software into its enterprise storage portfolio, where it can back up data to the cloud. The current test iteration requires an IBM Storewize storage system to operate.

ICStore was developed in response to customer inquiries, said Thomas Weigold, who leads the IBM storage systems research team in IBM’s Zurich, Switzerland, research facility, where the software was created. Customers are interested in cloud storage services but are worried about trusting data with third party providers, both in terms of security and the reliability of the service, he said.

The software provides a single interface that administrators can use to spread data across multiple cloud vendors. Administrators can specify which cloud providers to use through a point-and-click interface. Both file and block storage is supported, though not object storage. The software contains mechanisms for encrypting data so that it remains secure as it crosses the network and resides on the external storage services.

A number of software vendors offer similar cloud storage broker capabilities, all in various stages of completion, notably Red Hat’s DeltaCloud and Hewlett Packard’s Public Cloud.

ICStore is more “flexible,” than other approaches, said Alessandro Sorniotti, an IBM security and cloud system researcher who also worked on the project. “We give customers the ability to select what goes where, depending on the sensitivity and relevance of data,” he said. Customers can store one copy of their data on one provider and a backup copy on another provider.

ICStore supports a number of cloud storage providers, including IBM’s SoftLayer, Amazon S3 (Simple Storage Service), Rackspace, Microsoft Windows Azure and private instances of the OpenStack Swift storage service. More storage providers will be added as the software goes into production mode.

“Say, you are using SoftLayer and Amazon, and if Amazon suffers an outage, then the backup cloud provider kicks in and allows you to retrieve data,” from SoftLayer, Sorniotti said.

ICStore will also allow multiple copies of the software to work together within an enterprise, using a set of IBM patent-pending algorithms developed for data sharing. This ensures that the organization will not run into any upper limits on how much data can be stored.

IBM has about 1,400 patents that relate to cloud computing, according to the company.

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App Stores For Supercomputers Enroute

A major problem facing supercomputing is that the firms that could benefit most from the technology, aren’t using it. It is a dilemma.

Supercomputer-based visualization and simulation tools could allow a company to create, test and prototype products in virtual environments. Couple this virtualization capability with a 3-D printer, and a company would revolutionize its manufacturing.

But licensing fees for the software needed to simulate wind tunnels, ovens, welds and other processes are expensive, and the tools require large multicore systems and skilled engineers to use them.

One possible solution: taking an HPC process and converting it into an app.

This is how it might work: A manufacturer designing a part to reduce drag on an 18-wheel truck could upload a CAD file, plug in some parameters, hit start and let it use 128 cores of the Ohio Supercomputer Center’s (OSC) 8,500 core system. The cost would likely be anywhere from $200 to $500 for a 6,000 CPU hour run, or about 48 hours, to simulate the process and package the results up in a report.

Testing that 18-wheeler in a physical wind tunnel could cost as much $100,000.

Alan Chalker, the director of the OSC’s AweSim program, uses that example to explain what his organization is trying to do. The new group has some $6.5 million from government and private groups, including consumer products giant Procter & Gamble, to find ways to bring HPC to manufacturers via an app store.

The app store is slated to open at the end of the first quarter of next year, with one app and several tools that have been ported for the Web. The plan is to eventually spin-off AweSim into a private firm, and populate the app store with thousands of apps.

Tom Lange, director of modeling and simulation in P&G’s corporate R&D group, said he hopes that AweSim’s tools will be used for the company’s supply chain.

The software industry model is based on selling licenses, which for an HPC application can cost $50,000 a year, said Lange. That price is well out of the reach of small manufacturers interested in fixing just one problem. “What they really want is an app,” he said.

Lange said P&G has worked with supply chain partners on HPC issues, but it can be difficult because of the complexities of the relationship.

“The small supplier doesn’t want to be beholden to P&G,” said Lange. “They have an independent business and they want to be independent and they should be.”

That’s one of the reasons he likes AweSim.

AweSim will use some open source HPC tools in its apps, and are also working on agreements with major HPC software vendors to make parts of their tools available through an app.

Chalker said software vendors are interested in working with AweSim because it’s a way to get to a market that’s inaccessible today. The vendors could get some licensing fees for an app and a potential customer for larger, more expensive apps in the future.

AweSim is an outgrowth of the Blue Collar Computing initiative that started at OSC in the mid-2000s with goals similar to AweSim’s. But that program required that users purchase a lot of costly consulting work. The app store’s approach is to minimize cost, and the need for consulting help, as much as possible.

Chalker has a half dozen apps already built, including one used in the truck example. The OSC is building a software development kit to make it possible for others to build them as well. One goal is to eventually enable other supercomputing centers to provide compute capacity for the apps.

AweSim will charge users a fixed rate for CPUs, covering just the costs, and will provide consulting expertise where it is needed. Consulting fees may raise the bill for users, but Chalker said it usually wouldn’t be more than a few thousand dollars, a lot less than hiring a full-time computer scientist.

The AweSim team expects that many app users, a mechanical engineer for instance, will know enough to work with an app without the help of a computational fluid dynamics expert.

Lange says that manufacturers understand that producing domestically rather than overseas requires making products better, being innovative and not wasting resources. “You have to be committed to innovate what you make, and you have to commit to innovating how you make it,” said Lange, who sees HPC as a path to get there.

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Is The US & UK Lacking In Broadband?

The US and UK are stragglers when it comes to consumer broadband download speeds and appear far down in table rankings.

This puts the countries, swaggering authoritarian surveillance monsters that they are, rather low down on the satisfaction scale.

The ranking produced by Ookla is based on results from Speedtest servers, and is called the Net Index.

“Based on millions of recent test results from Speedtest.net, this index compares and ranks consumer download speeds around the globe,” is the explanation.

“The value is the rolling mean throughput in Mbps over the past 30 days where the mean distance between the client and the server is less than 300 miles.”

Hong Kong takes pole position and it is credited as having download speeds in the area of 71.03 Mbps. There is a big drop of around 20 Mbps down to Singapore in second place with 52.85 Mbps and third is Romania, where speeds are 50.82 Mbps.

You have to look a long way down the list before arriving at the UK, which is in 25th place. Here, or there depending on where you live, consumers get a rather meagre sounding 23.55 Mbps.

The United States weighs in at 31st place and has download speeds of 20.77 Mbps. This puts it below the UK, Germany, Estonia, Hungary, Greece and 25 others.

Closer to home the European Commission has published its report on Broadband Coverage in Europe (2012) and reveals progress on broadband coverage targets. It found that while broadband has improved, it could be faster.

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Will Computer Obtain Common Sense?

Even though it may appear PCs are getting dumbed down as we see constant images of cats playing the piano or dogs playing in the snow, one computer is doing the same and getting smarter and smarter.

A computer cluster running the so-called the Never Ending Image Learner at Carnegie Mellon University runs 24 hours a day, 7 days a week searching the Internet for images, studying them on its own and building a visual database. The process, scientists say, is giving the computer an increasing amount of common sense.

“Images are the best way to learn visual properties,” said Abhinav Gupta, assistant research professor in Carnegie Mellon’s Robotics Institute. “Images also include a lot of common sense information about the world. People learn this by themselves and, with [this program], we hope that computers will do so as well.”

The computers have been running the program since late July, analyzing some three million images. The system has identified 1,500 types of objects in half a million images and 1,200 types of scenes in hundreds of thousands of images, according to the university.

The program has connected the dots to learn 2,500 associations from thousands of instances.

Thanks to advances in computer vision that enable software to identify and label objects found in images and recognize colors, materials and positioning, the Carnegie Mellon cluster is better understanding the visual world with each image it analyzes.

The program also is set up to enable a computer to make common sense associations, like buildings are vertical instead of lying on their sides, people eat food, and cars are found on roads. All the things that people take for granted, the computers now are learning without being told.

“People don’t always know how or what to teach computers,” said Abhinav Shrivastava, a robotics Ph.D. student at CMU and a lead researcher on the program. “But humans are good at telling computers when they are wrong.”

He noted, for instance, that a human might need to tell the computer that pink isn’t just the name of a singer but also is the name of a color.

While previous computer scientists have tried to “teach” computers about different real-world associations, compiling structured data for them, the job has always been far too vast to tackle successfully. CMU noted that Facebook alone has more than 200 billion images.

The only way for computers to scan enough images to understand the visual world is to let them do it on their own.

“What we have learned in the last five to 10 years of computer vision research is that the more data you have, the better computer vision becomes,” Gupta said.

CMU’s computer learning program is supported by Google and the Office of Naval Research.

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Is SAP Searching In The Clouds?

Esoteric business software maker, which no one is really certain what it does, SAP is debating whether to accelerate moving more of its business to the cloud.

The move would be a change in strategy which might initially have only a small impact on its sales. Co-chief executive Jim Hagemann-Snabe said the change would generate more sales by 2017 particularly in markets like the US where there is a big push onto the cloud.

Talking to a Morgan Stanley investor conference this morning, Hagemann-Snabe said that this would have impact on the 2015 level, I don’t expect enormous impact but it would have some impact because you are delaying some revenues. In the long term however it makes a lot of sense, which is not the sort of thing people expect from SAP.

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Is Intel Expanding?

Even if it means that it will be the first to make ARM’s 64-bit chips, Intel said that it wants to expand its contract foundry work. Intel CEO Brian Krzanich said he would expand his company’s small contract manufacturing business, paving the way for more chipmakers to tap into the world’s most advanced process technology.

Krzanich told analysts that he planned to step up the company’s foundry work, effectively giving Intel’s process technology to its rivals. He said that company’s who can use Intel’s leading edge and build computing capabilities that are better than anyone else’s, are good candidates for foundry service. Krzanich added that the slumping personal computer industry, Intel’s core market, was showing signs of bottoming out.

Intel also unveiled two upcoming mobile chips from its Atom line designed interchange features to create different versions of the component. A high-end version of the new chip, code named Broxton, and is due out in mid-2015. SoFIA, a low-end chip was shown as an example of Intel’s pragmatism and willingness to change how it does business. Krzanich said that in the interest of speed, SoFIA would be manufactured outside of Intel, with the goal of bringing it to market next year.

Intel will move production of SoFIA chips to its own 14 nanometer manufacturing lines, Krzanich added.

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Researchers Build Flying Robot

Researchers say they have assembled a flying robot. It’s not designed to fly like a bird or an insect, but was built to simulate the movements of a swimming jellyfish.

Scientists at New York University say they built the small, flying vehicle to move like the boneless, pulsating, water-dwelling jellyfish.

Leif Ristroph, a post-doctoral student at NYU and a lead researcher on the project, explained that previous flying robots were based on the flight of birds or insects, such as flies.

Last spring, for example, Harvard University researchers announced that they had built an insect-like robot that flies by flapping its wings. The flying robot is so small it has about 1/30th the weight of a U.S. penny.

Before the Harvard work was announced, researchers at the University of Sheffield and the University of Sussex in England worked together to study thebrains of honey bees in an attempt to build an autonomous flying robot.

By creating models of the systems in a bee’s brain that control vision and sense of smell, scientists hope to build a robot that would be able to sense and act as autonomously as a bee.

The problem with those designs, though, is that the flapping wing of a fly is inherently unstable, Ristroph noted.

“To stay in flight and to maneuver, a fly must constantly monitor its environment to sense every gust of wind or approaching predator, adjusting its flying motion to respond within fractions of a second,” Ristroph said. “To recreate that sort of complex control in a mechanical device — and to squeeze it into a small robotic frame — is extremely difficult.”

To get beyond those challenges, Ristroph built a prototype robot that is 8 centimeters wide and weighs two grams. The robot flies by flapping four wings arranged like petals on a flower that pulsate up and down, resembling the flying motion of a moth.

The machine, according to NYU, can hover and fly in a particular direction.

There is more work still to be done. Ristroph reported that his prototype doesn’t have a battery but is attached to an external power source. It also can’t steer, either autonomously or via remote control.

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3D Printer Goes Retail

MakerBot, a 3D printer maker which opened two new retail stores last week, is among the companies trying to bring the cutting-edge digital manufacturing technology to Main Street consumers, but skeptics say the debut may be premature.

MakerBot, a unit of Stratasys Ltd, opened retail stores this week in Boston and in Greenwich, Connecticut, both of which are twice the size of MakerBot’s first store, 1,500 square feet in downtown Manhattan.

The company offers designs for more than 100,000 items through its “Thingiverse” online user community. The products range from knick-knacks like zombie sculptures to jewelry, sink drains and even medical devices. They are printed using its line of corn-based plastic fibers in more than a dozen colors.

“For most people 3D printing is futuristic science fiction. We’re here to make it real,” said CEO Bre Pettis, who cut the ribbon at the store on Boston’s fashionable Newbury Street using scissors made on one of MakerBot’s Replicator printers which start at $2,199.

Pettis, who has purchased splashy magazine ads to promote 3D printers as holiday gifts, believes there could soon be a 3D printer on every block in America.

Yet some technology experts say 3D printers may not be ready for prime time because they are still much less user friendly than most modern consumer electronics.

“There is so much hype,” said Pete Basiliere, an analyst at technology research firm Gartner. “People are getting a little bit misled as to how easy it is,” he said.

Some investors also are skeptical of 3D printing’s readiness for the market. Short-seller Citron this week published an article questioning the earnings of Germany’s voxeljet AG’s, and shares in the sector fell, including those of MakerBot parent Stratasys and rivals 3D Systems Corp and ExOne Co.

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