Cisco To Launch Smart City

Officials from networking giant Cisco Systems and Kansas City, Mo., have signed a letter of intent to build out a new network for smart city services.

Elements of the project call for designing mobile apps for citizen access, digital interactive kiosks, smart street lights and video surveillance in an area called the city’s innovation district.

The project is designed to complement the city’s build out of a two-mile downtown streetcar path, Cisco said in a statement.

Kansas City, Mo. and its neighbor, Kansas City, Kans., are already getting plenty of outside attention from tech giant Google, which picked the area for its first deployment of Google Fiber, an initiative to install fiber optic cable there and in other cities.

Google won’t say how many households are connected to Google Fiber in the area, but it has already installed 6,000 miles of fiber optic cable. Meanwhile, cable provider Time Warner has provisioned 11,000 Wi-Fi hotspots for its Internet customers to use from mobile devices in various Kansas City area locales, including the popular eight-block restaurant and bar district on the edge of downtown called the Power & Light District.

While some citizen groups have been concerned that Google Fiber isn’t reaching enough low-income families in the area with gigabit fiber, there’s a general recognition by city officials that people of all income levels use smartphones and other wireless devices fairly widely. That can only help the Cisco initiative with Kansas City for wireless services.

Kansas City, Mo. Mayor Sly James said the initiative with Cisco promises to connect city services and information with visitors and residents “like never before.”

Third-party app developers will also have an opportunity to build unique and innovative apps for public use.

Cisco will use its Smart+Connected Communities reference architectures to evaluate the initiative and will work with the city and a business consultancy called Think Big Partners to manage a “living lab” incubator for the tech startup community.

Wim Elfrink, Cisco’s executive vice president of industry solutions, credited city leaders with leading the “charge on innovation in the Midwest.”

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IT Dissatisfaction Growing

Companies want to reduce spending on IT operations and infrastructure and shift resources to revenue-producing areas, according to two new studies. But businesses leaders and IT executives are also registering higher levels of dissatisfaction with IT as more demands are placed on technology.

The reports, by the Hackett Group and McKinsey & Co., both agree that business executives want IT to do more to improve the bottom line while companies spend less on infrastructure in the process.

The bad news for people who work in IT operations is that large businesses expect to cut IT staff positions by about 2% this year, thanks to automation and outsourcing, according the Hackett’s survey of 160 businesses with revenues above $1 billion.

One path to improved automation will likely be through adoption of software-defined infrastructures, something Bank of America plans to do.

IT budgets will grow by 1.7% this year as IT pivots, increasingly, from a service-providing operation to a revenue-generating one, the Hackett Group said in its study.

IT managers are being told that “you’ve got to grow the business, not just run the business,” said Mark Peacock, an IT transformation practice leader and principal at Hackett.

McKinsey & Co., in its online survey of more than 800 executives — with 345 having a technology focus — also found that executives want less of their budgets to go to infrastructure so more resources can be shifted to analytics and innovation.

The McKinsey survey found that business executives are less likely to say now that IT performs effectively, compared to their views two years ago.

“The IT executives are even more negative,” wrote McKinsey, with only 13% of them saying their IT organizations “are completely or very effective at introducing new technologies faster or more effectively than competitors.” That percentage was down from 22% in 2012.

The negative results “likely reflect the overall rising expectations for corporate IT,” wrote McKinsey.

When asked how to fix IT shortcomings, respondents cited improved business accountability, more funds for priority projects and a higher the level of IT talent, the report said.

The Hackett Group survey didn’t report on dissatisfaction, but it did find that the top goal for IT organizations this year is “to strengthen partnership and goal alignment between IT and the business.”

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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.

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IBM’s Watson Goes To Africa

IBM has detailed plans to apply its Watson supercomputer the critical development issues facing Africa.

The machine is capable of holding more intelligent conversations than most Big Brother contestants, and in 2011 it beat human contestants on the US TV game show Jeopardy.

However, in Africa it will be used to help solve the pressing problems facing the continent such as agricultural patterns and famine relief.

The initiative, named Project Lucy after the earliest human remains discovered on the continent, will take 10 years and is expected to cost $100m.

“I believe it will spur a whole era of innovation for entrepreneurs here,” IBM CEO Ginni Rometty told delegates at a conference on Wednesday.

“Data… needs to be refined. It will determine undisputed winners and losers across every industry.”

The technology will be used to find ways to enable the developing world to leapfrog over stages of development that have hitherto been too expensive.

One example cited was Nigeria, where two companies have already committed to use Project Lucy to analyse the poorly maintained road system and determine project priorities for repair.

IBM recently announced that it will invest $1bn to spin off Watson into a separate business unit, however this could be quite a gamble as Reuters reported that although Watson has proved to be a quantum leap, it has yet to make any significant money for the company, netting less than $100m in the past three years.

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Facebook Goes Ten

Facebook plans on celebrating its 10th birthday today, an occasion likely to spur an outpouring of reflection on its past and speculation about its future.

Mark Zuckerberg launched “Thefacebook” from his dorm room at Harvard University on Feb. 4, 2004. The site was conceived as a way to connect students, and let them build an online identity for themselves.

It has since expanded to cover a large swath of the planet, with more than 1.2 billion people — one-seventh of the world’s population — using its site on a monthly basis, according to the company’s own recent figures.

Zuckerberg reflected on the 10-year milestone at an industry conference in Silicon Valley this week. Not surprisingly, at the start he never envisioned Facebook becoming so large or influential. After launching the initial version, “it was awesome to have this utility and community at our school,” he said at the Open Compute Project Summit.

He figured at the time that someone, someday would build such a site for the world. “It didn’t even occur to me that it could be us,” he said.

Since then, Facebook’s site and its business, now a public company, have changed dramatically. There are now more than a trillion status updates, text posts and other pieces of content stored within its walls — the company is trying to index them as part of its Graph Search search engine.

The company was slow to react to the important mobile market, and when it went public in 2012 investors were skeptical it would be able to monetize its service on smaller screens. But this week it reported that more than half its ad revenue now comes from mobile devices.

All the while, Facebook is making its ad business smarter, using targeting tools to show ads it deems most relevant.

The company is also experimenting with new ways to present content. Next week it will release Paper, an iPhone app that provides a new way to share photos and published articles.

It’s part of a larger effort Facebook hinted at this week to release a variety of standalone apps for different tasks.

The company is also trying to bring the Internet to more people in the world, an effort that’s part philanthropy and part business sense as Facebook aims to reach its next billion users. Asked this week why he launched the project, called Internet.org, Zuckerberg suggested he feels a weight of responsibility.

“There aren’t that many companies in the world that have the resources and the reach that Facebook has at this point,” he said.

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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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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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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.

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Will Google’s Project Shield Work?

Google has opened Project Shield, its service for small websites that don’t have the forces to repel denial of service attacks that might come their way.

Google introduced the service on Google+, saying that it is aimed at websites that might otherwise be at risk of online disruption.

“Project Shield, [is] an initiative that enables people to use Google’s technology to better protect websites that might otherwise have been taken offline by “distributed denial of service” (DDoS) attacks. We’re currently inviting webmasters serving independent news, human rights, and elections-related content to apply to join our next round of trusted testers,” it said.

“Over the last year, Project Shield has been successfully used by a number of trusted testers, including Balatarin, a Persian-language social and political blog, and Aymta , a website providing early-warning of scud missiles to people in Syria. Project Shield was also used to protect the election monitoring service in Kenya, which was the first time their site stayed up throughout an election cycle.”

Interested websites should visit the Google Project Shield page and request an invitation to the experience. They should not try to do the same at Nvidia’s website, as they will probably just come away with a handheld games console. This will not offer much assistance against DDoS attacks.

According to a video shared by Google last night, Project Shield works by combining the firm’s DDoS mitigation technologies and Page Speed Service (PSS).

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Stanford Develops Carbon Nanotubes

Researchers at Stanford University have demonstrated the first functional computer constructed using only carbon nanotube transistors.

Scientists have been experimenting with transistors based on carbon nanotubes, or CNTs, as substitutes for silicon transistors, which may soon hit their physical limits.

The rudimentary CNT computer is said to run a simple operating system capable of multitasking, according to a synopsis of an article published in the journal Nature.

Made of 178 transistors, each containing between 10 and 200 carbon nanotubes, the computer can do four tasks summarized as instruction fetch, data fetch, arithmetic operation and write-back, and run two different programs concurrently.

The research team was led by Stanford professors Subhasish Mitra and H.S. Philip Wong.

“People have been talking about a new era of carbon nanotube electronics moving beyond silicon,” Mitra said in a statement. “But there have been few demonstrations of complete digital systems using [the] technology. Here is the proof.”

IBM last October said its scientists had placed more than 10,000 transistors made of nano-size tubes of carbon on a single chip. Previous efforts had yielded chips with just a few hundred carbon nanotubes.

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