Is Qualcomm Overheating?

South Korean smartphone maker LG Electronics Inc said on Thursday that it has not experienced any overheating problems with Qualcomm Inc’s new Snapdragon processor that is powering a curved-screen device going on sale later this month.

“I am very much aware of the various concerns in the market about the (Snapdragon) 810, but the chip’s performance is quite satisfactory,” Woo Ram-chan, LG vice president for mobile product planning, told reporters at a press event for the company’s G Flex2 smartphone.

The comment came after Bloomberg reported a day earlier that Samsung Electronics Co Ltd, the world’s top smartphone maker, decided not to use the new Qualcomm processor for the next flagship Galaxy S smartphone after the chip overheated during testing. Samsung and Qualcomm have declined to comment on the report, which cited unidentified sources.

Samsung is widely expected to unveil the new Galaxy S smartphone in early March, and Bloomberg reported that the Korean firm will use its own processors instead.

But LG’s Woo said on Thursday that internal tests for the G Flex2, powered by the new Qualcomm processor, show that the new product emits less heat than other existing devices. The new phone is scheduled to start selling in South Korea on Jan. 30.

“I don’t understand why there is a issue over heat,” he said.

Source

Google Continues A.I. Expansion

Google Inc is growing its artificial intelligence area, hiring more than half a dozen leading academics and experts in the field and announcing a partnership with Oxford University to “accelerate” its efforts.

Google will make a “substantial contribution” to establish a research partnership with Oxford’s computer science and engineering departments, the company said on Thursday regarding its work to develop the intelligence of machines and software, often to emulate human-like intelligence.

Google did not provide any financial details about the partnership, saying only in a post on its blog that it will include a program of student internships and a series of joint lectures and workshops “to share knowledge and expertise.”

Google, which is based in Mountain View, California, is building up its artificial intelligence capabilities as it strives to maintain its dominance in the Internet search market and to develop new products such as robotics and self-driving cars. In January Google acquired artificial intelligence company Deep Mind for $400 million according to media reports.

The new hires will be joining Google’s Deep Mind team, including three artificial intelligence experts whose work has focused on improving computer visual recognition systems. Among that team is Oxford Professor Andrew Zisserman, a three-time winner of the Marr Prize for computer vision.

The four founders of Dark Blue Labs will also be joining Google where they will be will be leading efforts to help machines “better understand what users are saying to them.”

Google said that three of the professors will hold joint appointments at Oxford, continuing to work part time at the university.

Source

Will Mark Hurd Call The Shots At Oracle?

Analysts have started to wonder which of the two heads that Larry Ellison left in charge of Oracle will be calling the shots — Safra Catz or Mark Hurd.

Wall Street thinks that dealmaker and finance guru Safra Catz will be in charge even though she, and not Hurd who would be the real boss. Of course Ellison will remain around for a while, so it is a little moot, neither Catz or Hurd got to the top by crossing Ellison. But Ellison could actually go, particularly if his mysterious exit was because he was sick and this has made some analysts wonder who will be in charge.

Of 12 analysts who replied to an anonymous poll, five said Catz would likely run Oracle, while only one voted for Hurd, 57. Four said both would continue to run the company, one said neither, and one plumped for dark-horse internal candidate Thomas Kurian.

Catz has more status because the 52-year old former Wall Street banker orchestrated Oracle’s multibillion dollar acquisitions and has been Ellison’s de facto deputy for the last few years. Hurd, who only joined Oracle in 2010 after leaving HP under the cloud of a business ethics breach, has a larger public presence but is still seen as a newcomer.

Only one analyst said Hurd was the more likely to lead the company, chiefly because he is the one with experience of being the CEO of a large technology company. In fact some of the Oracle board does not trust him because of the experience that HP had with him.

Source

Scientist Develop Anti-Faking PC

Scientists have developed a computer system with sophisticated pattern recognition abilities that performed more impressively than humans in differentiating between people experiencing genuine pain and people who were just pretending.

In a study published in the journal Current Biology, human subjects did no better than chance – about 50 percent – in correctly judging if a person was feigning pain after seeing videos in which some people were and some were not.

The computer was right 85 percent of the time. Why? The researchers say its pattern-recognition abilities successfully spotted distinctive aspects of facial expressions, particularly involving mouth movements, that people generally missed.

“We all know that computers are good at logic processes and they’ve long out-performed humans on things like playing chess,” said Marian Bartlett of the Institute for Neural Computation at the University of California-San Diego, one of the researchers.

“But in perceptual processes, computers lag far behind humans and have a lot of trouble with perceptual processes that humans tend to find easy, including speech recognition and visual recognition. Here’s an example of a perceptual process that the computer is able to do better than human observers,” Bartlett said in a telephone interview.

For the experiment, 25 volunteers each recorded two videos.

In the first, each of the volunteers immersed an arm in lukewarm water for a minute and were told to try to fool an expert into thinking they were in pain. In the second, the volunteers immersed an arm in a bucket of frigid ice water for a minute, a genuinely painful experience, and were given no instructions on what to do with their facial expressions.

The researchers asked 170 other volunteers to assess which people were in real discomfort and which were faking it.

After they registered a 50 percent accuracy rate, which is no better than a coin flip, the researchers gave the volunteers training in recognizing when someone was faking pain. Even after this, the volunteers managed an accuracy rate of only 55 percent.

The computer’s vision system included a video camera that took images of a person’s facial expressions and decoded them. The computer had been programmed to recognize that one kind of facial movement combinations suggested true pain and another kind suggested faked pain.

Source

Some ATMs Still On XP

Cyber-criminals have been cutting holes into European cash machines in order to infect them with malware.

The holes were cut so that the hackers could plug in USB drives that installed their code onto the ATMs. Details of the attacks on an unnamed European bank’s cash dispensers were presented at the hacker-themed Chaos Computing Congress in Hamburg, Germany.

The thefts came to light in July after the lender involved noticed several its ATMs were being emptied. The bank discovered the criminals were vandalising the machines to use the infected USB sticks. Once the malware had been transferred, they patched the holes up. This allowed the same machines to be targeted several times without the hack being discovered.

The attackers could take the highest value banknotes in order to minimise the amount of time they were exposed. Interestingly the software required the thief to enter a second code in response to numbers shown on the ATM’s screen before they could release the money and the thief could only obtain the right code by phoning another gang member and telling them the numbers displayed. This stopped the criminals going alone.

Source

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.

Source

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.

Source

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.

Source

Can Robots Run On (NH2)2CO?

Scientists have discovered a way to power future robots using an unusual source — urine.

Researchers at the University of the West of England, Bristol and the University of Bristol collaborated to build a system that will enable robots to function without batteries or being plugged into an electrical outlet.

Based on the functioning of the human heart, the system is designed to pump urine into the robot’s “engine room,” converting the waste into electricity and enabling the robot to function completely on its own.

Scientists are hoping the system, which can hold 24.5 ml of urine, could be used to power future generations of robots, or what they’re calling EcoBots.

“In the city environment, they could re-charge using urine from urinals in public lavatories,” said Peter Walters, a researcher with the University of the West of England. “In rural environments, liquid waste effluent could be collected from farms.”

In the past 10 years, researchers have built four generations of EcoBots, each able to use microorganisms to digest the waste material and generate electricity from it, the university said.

Along with using human and animal urine, the robotic system also can create power by using rotten fruit and vegetables, dead flies, waste water and sludge.

Ioannis Ieropoulos, a scientist with the Bristol Robotics Laboratory, explained that the microorganisms work inside microbial fuel cells where they metabolize the organics, converting them into carbon dioxide and electricity.

Like the human heart, the robotic system works by using artificial muscles that compress a soft area in the center of the device, forcing fluid to be expelled through an outlet and delivered to the fuel cells. The artificial muscles then relax and go through the process again for the next cycle.

“The artificial heartbeat is mechanically simpler than a conventional electric motor-driven pump by virtue of the fact that it employs artificial muscle fibers to create the pumping action, rather than an electric motor, which is by comparison a more complex mechanical assembly,” Walter said.

Source

ATM Malware Found In Mexico

A malicious software program identified in ATMs in Mexico has been improved and translated into English, which suggests it may be used elsewhere, according to security vendor Symantec.

Two versions of the malware, called Ploutus, have been discovered, both of which are engineered to empty a certain type of ATM, which Symantec has not identified.

In contrast to most malware, Ploutus is installed the old-fashioned way — by inserting a CD boot disk into the innards of an ATM machine running Microsoft Windows. The installation method suggests that cybercriminals are targeting standalone ATMs where access is easier.

The first version of Ploutus displays a graphical user interface after the thief enters a numerical sequence on an ATM’s keypad, although the malware can be controlled by a keyboard, wrote Daniel Regalado, a Symantec malware analyst, on Oct. 11.

Ploutus is programmed for a specific ATM model since it assumes there is a maximum of four cassettes per dispenser in the ATM. It then calculates the amount of money that should be dispensed based on the number of bills. If any of the cassettes have less than the maximum number of 40 bills, it releases whatever is left, repeating that process until the ATM is empty.

Kevin Haley, director of Symantec Security Response, said in an interview earlier this month that the attackers have deep knowledge of the software and hardware of the particular ATM model.

“They clearly know how this machine worked,” he said.

The source code of Ploutus “contains Spanish function names and poor English grammar that suggests the malware may have been coded by Spanish-speaking developers,” Regalado wrote.

In a new blog post, Regalado wrote that the attackers made Ploutus more robust and translated it into English, indicating the same ATM software can be exploited in countries other than Mexico.

The “B” variant of Ploutus has some differences. It only accepts commands through the keypad but will display a window showing the money available in the machine along with a transaction log as it dispenses cash. An attacker cannot enter a specific number of bills, so Ploutus withdraws money from the cassette with the most available bills, Regalado wrote.

Symantec advised those with ATMs to change the BIOS boot order to only boot from the hard disk and not CDs, DVDs or USB sticks. The BIOS should also be password protected so the boot options can’t be changed, Regalado wrote.

Source

« Previous Page — Next Page »