
Sensing oxygen: This implantable sensor measures the concentration of dissolved oxygen in tissue, an indicator of tumor growth.
Credit: Technical University of Munich
Friday, September 30. 2011Researchers install world’s highest webcam to provide a view of EverestVia gizmag ----- After starting out producing security cameras, German-based Mobotix is now taking video surveillance to new heights - literally. One of the company's type-M12 cameras has been situated at an altitude of 5,643-meters (18,514 ft) on the Kala Patthar mountain to stream high definition images of the summit of the nearby 8,848-meter (29,029 ft) high Mount Everest. The solar-powered webcam takes the title of the world's highest webcam from the now second highest webcam in the world located at the 4,389-meter (14,400 ft) high base camp of Mount Aconcagua in Argentina. The Kala Patthar location, which was chosen for its excellent view of the western side of Everest, including the north and southwest faces of the mountain and the West Ridge, exposes the webcam to some pretty harsh conditions with high winds and temperatures as low as -30°C (-22°F). Images captured by the webcam are transmitted wirelessly to the Ev-K2-CNR Pyramid Laboratory/Observatory, which is located at an altitude of 5,050 meters (16,568 ft). Here, the video is analyzed before being sent onto Italy for further evaluation. "We spent months developing the perfect setup for the installation and invested a lot of time testing and verifying the system. And it inspired us on to set a record: operating the highest webcam in the world," said Giampietro Kohl, leader of the Ev-K2-CNR technical committee who coordinated the webcam's installation by Italian engineers and the Nepalese Ev-K2-CNR team as part of the "Everest Share 2011" research project, The research project is taking place as part of the international "Share" climate and environmental monitoring conference, with researchers hoping the images, in conjunction with meteorological data gathered at the world's highest weather station sitting at an altitude of 8,000 meters (26,247 ft) on Mount Everest, will provide an insight into climate change. People can take in the view provided by the Mobotix webcam from the comfort of their homes by pointing their browsers here. The webcam is only active during the daylight hours of 6:00 a.m. to 6:00 p.m. Nepalese time, with images updated every five minutes to allow the researchers to track the movement of the clouds around the mountain summit. If you'd like to turn the view around and see what it looks like from the summit of Everest, there's also a nice 360-degree panorama here. Wednesday, September 28. 2011New DoCoMo smartphone case able to detect radiation Via Asahi shimbun -----
NTT DoCoMo Inc. has developed a smartphone case featuring a function that measures radiation levels. The case has a sensor on it that identifies radiation levels, and the results show up on the screen. A special application must be installed to take advantage of the service. The new feature, using technologies developed by a domestic dosimeter maker, can determine radiation levels from 0.01 microsieverts to 100 millisieverts per hour, the company said. The device also allows people to access measured values by time on a map using the global positioning system available with the carrier's smartphones. NTT DoCoMo also developed smartphone cases that enable measurements of ultraviolet rays and body fat percentages. These cases can be switched to monitor various health conditions, the company said. Specific dates for marketing the cases have yet to be decided. Prototypes of the three cases will be exhibited at Ceatec Japan 2011, Japan's largest exhibition on IT and electronics, to be held Oct. 4-8 at the Makuhari Messe convention center in Chiba Prefecture. Tuesday, September 27. 2011Facebook and the 'Like Me’ ElectionVia Businessweek By Elizabeth Dwoskin ----- New advertising tools from the social media giant let campaigns find and target voters
Charlie Neibergall/AP Photo Michele Bachmann wants to be your friend. So much so that her campaign is scouring your travels on Facebook for the things that matter to you most. Then she can place a customized message on your page assuring you that those things are important to her, too. Bachmann did this to great effect in August, when she won the Republican straw poll in Iowa in part by zeroing in on the Facebook pages of potential supporters who lived nearby. Facebookers who had identified themselves as Tea Party supporters or Christian rock fans, or who had posted messages in favor of tax cuts or against abortion, found an ad from Bachmann waiting for them on their profile page in the weeks before the vote, asking for their support and directing them to a link where they could arrange a free ride to the polling place. Bachmann’s campaign says a significant portion of the people who pushed her over the top in Iowa—they won’t say how many—came as a result of the ad campaign. While some candidates are still trying to get their heads around social media —Rick Perry has been known to block people he doesn’t like from following him on Twitter—Bachmann and other well-funded candidates, including Mitt Romney and Barack Obama, are putting Facebook at the center of their campaign strategies. Working with Facebook’s Washington office, they are taking advantage of just-released advertising tools the company is marketing to politicians. The software allows candidates to target campaign ads to individuals in ways that weren’t possible a few months ago, reaching them on a site where they spend a lot of time and are less likely to tune out the pitch. “They may not know we’re looking for them,” says Rebecca Donatelli of Campaign Solutions, a social media consulting firm in Alexandria, Va., which was hired by Bachmann. “So we have to give them the opportunity to be found.” Unlike expensive radio and TV ads, which are blasted out to thousands or millions of people and hit the eyes and ears of as many opponents as supporters, these appeals are often aimed at just a few hundred or even a few dozen potential voters who may never have expressed interest in the candidate. The ads use information Facebook constantly collects about its users to connect with people. “In the last 45 days, I’ve designed over 1,000 ads,” says Michael Beach, a GOP consultant working for Romney. The campaigns are able to churn out so many ads because Facebook makes it cheap and easy to do, especially compared with TV spots or even Google (GOOG) Ads, which can reach many more people but not necessarily the ones most likely to respond favorably. Facebook ads can be had for 50¢ or less per click—and by counting those clicks, the campaigns know within minutes whether they’re working. “We’ll throw out four or five different messages targeting different demographics,” says Michael Hendrix, a Dallas-based consultant who works with Donatelli on the Bachmann campaign. “You’re trying to figure out which message will drive a higher response.” Hendrix’s latest Facebook project is what he refers to as “the gamification of politics.” In virtual reality games such as Facebook’s popular FarmVille, he sees a demographic frontier for Republicans in 2012. He has written software, to be launched later this year, that will allow FarmVille players to get active in politics within the game. Their online characters will be able to go door to door to other players’ imaginary farms, campaigning for real-life candidates and placing yard signs on their lawns. Hendrix is blunt about his intentions. “The majority of social gamers are stay-at-home moms over 38,” says Hendrix. And they vote. He hopes to use the game “to target soccer moms again.” Facebook’s voter-sifting tools are the same as those it markets to corporations. (Sometimes the same people use the tools for politics and commerce; in addition to his work for Bachmann, Hendrix handles social media for Moët Hennessy (LVMUY), the Champagne maker.) But the pitch is different. The company has stocked its Washington operation with political pros who speak the language of campaigns and elections. In 2007, Facebook hired Adam Conner, then a 23-year-old Democrat staffer on the House Rules Committee, to help the company break into the capital. He started out slow, teaching politicians the basics of setting up a Facebook page. Democratic politicians were happy to hear Conner’s social media spiel, but some Republicans viewed him with suspicion. So in February, Facebook hired Katie Harbath, a 30-year-old digital strategist for the National Republican Senatorial Committee. Around the office, they’re jokingly known as “the R” and “the D.” Facebook’s post-industrial space in downtown D.C., where guests are invited to write on the walls with brightly colored Sharpies, may be the most un-Washington workplace in the city. “What I push with folks is that, while the fan count matters, how many people are interacting with it really matters,” says Harbath, who is one of a dozen people working for Facebook in Washington. “How many people are liking it, commenting on it, sharing it with their friends.” Which raises an important question: Is the effort and money Bachmann and her rivals put into all this liking, commenting, and sharing bringing tangible results that can be measured in volunteers, donations, and ultimately votes next November? The answer is: They don’t know yet. No one has figured out how to “monetize the like,” says Donatelli. What Facebook provides at the moment is an efficient way to reach someone without having to reach everyone and an enormous platform to get a message across without interference from the conventional media. “It’s not in the sheer numbers, but in the intensity of your followers,” Donatelli says. She says that Bachmann fans tend to be issue-driven and feverishly post and cross-post on Facebook, keeping the candidate’s name in the conversation even as her poll numbers slide compared with Romney’s and Perry’s. Ultimately, Bachmann’s team believes conversation will translate into action and money, like they say it did in Iowa this summer. Otherwise, they say, they wouldn’t bother wasting precious resources on it. “What’s the point of having a fan or a follower if they don’t do anything?” says Donatelli. “At the end of the day, this is a persuasion tool.” The bottom line: Presidential candidates are targeting potential supporters with Facebook ads, which can cost less than 50¢ a click.
Monday, September 26. 2011Google digitizes the Dead Sea Scrolls and puts them onlineVia Slash Gear ----- The Dead Sea Scrolls are some of the most famous Christian documents in the world and they are the oldest known biblical manuscripts in existence. The scrolls have a storied history that saw them stashed away inside a series of caves on the shores of the Dead Sea to protect them for the Roman armies that were invading the Holy Land in 68 BCE. The scrolls were lost until 1947 when a shepherd tossed a rock into the cave and discovered the scrolls.
The scrolls have been on exhibit since 1965 at the Shrine of the Book at The Israel museum in Jerusalem. Google has announced that it has now made the Dead Sea Scrolls available online and has digitized all of the content in the scrolls and made that content searchable online. The images of the scroll are high resolution at up to 1200MP to allow the user to see everything about the scrolls.
Google says that you can zoom in on the Temple Scroll and see what the animal skin that the text is written on looks like. The Great Isaiah Scroll can be read chapter and verse. The Hebrew text is also translated into English when clicked. The scrolls went online via a partnership between Google and The Israel Museum, Jerusalem.
--- Friday, September 23. 2011Amazon Kindle books now available in public librariesVia myce --- Amazon has struck a deal with 11,000 U.S. libraries that lets Kindle owners borrow ebooks from the increasingly high-tech institutions. The company said Kindle books accessed through this method will boast a suite of social networking support, including Facebook and Twitter. Additionally, Amazon’s own Whispersync app is supported – which means benefits readers previously needed to scuff up books to enjoy, such as bookmarking and highlighting important passages, are freely available. “Starting today, millions of Kindle customers can borrow Kindle books from their local libraries,” said Jay Marine, Amazon Kindle director. Marine called libraries “a critical part of our communities” and touted the announcement as an important step in bridging an ever-widening gap between the old and the new. According to Amazon, the process itself is quick and easy. Members whose local libraries include the online OverDrive service can visit their official sites and select a title for download. Both an Amazon.com account and active library card are required. Transactions are completed over a Wi-Fi connection or USB transfer. Those without a Kindle can still take part in the program by downloading the company’s free Kindle app on a bevy of other devices, including iPad, BlackBerry and the PC Kindle Cloud Reader. The closure of Borders stores across the country and the growing popularity of digital media consumption among e-reader and tablet owners may not spell utter doom for paper-bound books, but the convenience of downloading them from your home into a single device is hard to ignore. Amazon’s agreement with libraries proves as much. The tough part now is getting more people to actually read. Sadly, there’s no app for that.
Thursday, September 22. 2011Dr. Watson - Come Here - I Need YouVia big think By Dominic Basulto ----- The next time you go to the doctor, you may be dealing with a supercomputer rather than a human. Watson, the groundbreaking artificial intelligence machine from IBM that took on chess champions and Jeopardy! contestants alike, is about to get its first real-world application in the healthcare sector. In partnership with health benefits company WellPoint, Watson will soon be diagnosing medical cases – and not just the everyday cases, either. The vision is for Watson to be working hand-in-surgical-glove with oncologists to diagnose and treat cancer in patients.
While having super-knowledgeable medical experts on call is exciting, it also raises several thorny issues. At what point – if ever - would you ask for a “second opinion” on your medical condition from a human doctor? Will “Watson” ever be included in the names of physicians included in your HMO listings? And, perhaps most importantly, can supercomputers ever provide the type of bedside manner that we are accustomed to in our human doctors?
Given that the cost of healthcare is simply too high, as a society we will need to accept some compromises. Once the healthcare industry is fully digitized, supercomputers like Watson could result in a more cost-effective way to sift through the ever-growing amount of medical information and provide real-time medical analysis that could save lives. If Watson also results in a significant improvement in patient treatment as well, it’s clear that the world of medicine will never be the same again. Right now, IBM envisions Watson supplementing – not actually replacing - doctors. But the time is coming when nurses across the nation will be saying, “Watson -- Come Here –- I Need You,” instead of turning to doctors whenever they need a sophisticated medical evaluation of a patient.
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Monday, September 19. 2011UNIVAC: the troubled life of America's first computerVia ars technica By Matthew Lasar ----- It was November 4, 1952, and Americans huddled in their living rooms to follow the results of the Presidential race between General Dwight David Eisenhower and Adlai Stevenson, Governor of Illinois. We like to think that our time is a unique moment of technological change. But the consumers observing this election represented an unprecedented generation of early adopters, who watched rather than listened to the race on the radio. By that year they had bought and installed in their homes about 21 million copies of a device called the television—about seven times the number that existed just three years earlier. On that night they witnessed the birth of an even newer technology—a machine that could predict the election's results. Sitting next to the desk of CBS Anchor Walter Cronkite was a mockup of a huge gadget called a UNIVAC (UNIVersal Automatic Computer), which Cronkite explained would augur the contest. J. Presper Eckert, the UNIVAC's inventor, stood next to the device and explained its workings. The woman who actually programmed the mainframe, Navy mathematician Grace Murray Hopper was nowhere to be seen; for days her team had input voting statistics from earlier elections, then wrote the code that would allow the calculator to extrapolate the contest based on previous races.
J. Presper Eckert and CBS's Walter Cronkite pondering the UNIVAC on election night, 1952. To the disquietude of national pollsters expecting a Stevenson victory, Hopper's UNIVAC group predicted a huge landslide for Eisenhower, and with only five percent of the results. CBS executives didn't know what to make of this bold finding. "We saw [UNIVAC] as an added feature to our coverage that could be very interesting in the future," Cronkite later recalled. "But I don't think that we felt the computer would become predominant in our coverage in any way." And so CBS told its audience that UNIVAC only foresaw a close race. At the end of the evening, when it was clear that UNIVAC's actual findings were spot on, a spokesperson for the company that made the machine was allowed to disclose the truth—that the real prediction had been squelched. "The uncanny accuracy of UNIVAC's prediction during a major televised event sent shock waves across through the nation," notes historian Kurt W. Beyer, author of Grace Hopper and the Invention of the Information Age. "In the months that followed, 'UNIVAC' gradually became the generic term for a computer." That's putting it mildly. By the late 1950s the UNIVAC and its cousin, the ENIAC, had inspired a generic sobriquet for anyone with computational prowess—a "BRAINIAC." The term became so embedded in American culture that to this day your typical computer literacy quiz includes the following multiple choice poser: Which was not an early mainframe computer? But the fact that this question is even posed is testimony to the other key component of UNIVAC's history—its famous trajectory was cut short by a corporation with a much larger shadow: IBM. The turbulent life of UNIVAC offers interesting lessons for developers and entrepreneurs in our time. The machines and their teamsDuring the Second World War, two teams in the United States were deployed to improve the calculations necessary for artillery firing and strategic bombing. Hopper worked with Harvard mathematician Howard Aiken, whose Mark I computer performed computations for the Navy. John Mauchly and J. Presper Eckert's Electronic and Numerical Integrator and Computer (ENIAC) rolled out rocket firing tables for the Army. While both groups served extraordinarily during the war, their leaders could not have thought about these devices more differently. Aiken viewed them as scientific tools. Mauchly saw their potential as commercial instruments. After the conflict, Aiken obstinately lobbied against the commercialization of computing, inveighing against the "foolishness with Eckert and Mauchly," at computer conferences. Perhaps there was a need for five or six machines in the country, he told associates; no more. But Aiken's assistant Hopper was fascinated by the duo—the former a graduate student and the latter a professor of electronics. Eckert was "looking way ahead," Hopper recalled. "Even though he was a college professor he was visualizing the use of these computers in the business and industrial area." The University of Pennsylvania sided with Aiken. The college offered Eckert and Mauchly tenured positions, but only on the condition that they sign patent releases for all their work. Both inventors resigned from the campus and in the spring of 1946 formed the Electronic Control Company, which eventually became the Eckert-Mauchly Computer Corporation. Over the course of five years, the two developers rethought everything associated with computational machines. The result was a device that went way beyond the age of punch card calculators associated with IBM devices. The UNIVAC, unveiled in 1951, was the fruit of this effort. "No one who saw a UNIVAC failed to see how much it differed from existing calculators and punched card equipment," writes historian Paul E. Ceruzzi:
These characteristics would enable the UNIVAC to perform thousands more operations per second than its closest rival, the Harvard Mark II. And its adaptation of the entertainment industry's new tool—magnetic recording tape—would allow it to store vastly more data. UNIVAC was quickly picked up by the US Census Bureau in a $300,000 contract, which was followed by another deal via the National Bureau of Standards. Soon a racetrack betting odds calculator company called American Totalisator signed on, purchasing a 40 percent interest in the company. You could see and hold itBut Eckert-Mauchly could not handle this volume of work on its own. Its principals drastically underbid on key contracts. After a plane crash killed the corporation's board president, the inventors and Totalisor clashed over the viability of the project. The duo then went to IBM for backing and met with Thomas Watson Junior and Senior, but could not convince the elder executive of the UNIVAC's viability. "Having built his career on punch cards," Watson Jr. later reflected, "Dad distrusted magnetic tape instinctively. On a punch card, you had a piece of information that was permanent. You could see it and hold it in your hand.... But with magnetic tape, your data were stored invisibly on a medium that was designed to be erased and reused." So EMCC turned to its second choice—the Remington Rand office equipment company, whose founder James Rand expressed outrage when he saw a reworked IBM typewriter rather than a Remington hooked up to the UNIVAC. "Take that label off that machine!" Rand declared on his first visit to an EMCC laboratory. "I don't want it seen in here!" The tenderness over an IBM logo aside, Remington Rand brought an important innovation to the UNIVAC—television advertisements. The longer infomercials came complete with symphony orchestra introductions and historical progress timelines that began with the Egyptian Sphinx. The shorter ones extolled the role that UNIVAC was playing in weather prediction. "Today UNIVAC is saving time and increasing efficiency for science, industry, business, and government," one ad concluded. A Remington Rand UNIVAC commercial.
But while that was certainly true about what the machine did for its clients, historian Beyer notes that it didn't extend to Remington's management of EMCC. Most of the office company's top staff, like its founder, didn't understand the device, and related more to punch card machines. The man put in direct charge of EMCC, former Manhattan Project director Leslie Groves, tossed Mauchly to the sales department when he flunked a company security clearance test (apparently he had attended some Communist Party meetings in the 1930s). On top of that, new management did not sympathize with EMCC's female programmers, among them Grace Hopper, who by 1952 had written the UNIVAC's first software compiler. "There were not the same opportunities for women in larger corporations like Remington Rand," she later reflected. "They were older companies, and the jobs had been stereotyped." Then there was Groves' marketing strategy for the UNIVAC, which amounted to selling less of the devices, even as they were being hawked on TV as exemplars of technological progress. He ordered a fifty percent annual production quota drop. "With such low sales expectations, there was little incentive to educate Remington Rand's sizeable sales force about the new technology," Beyer explains. The biggest blow, however, came when IBM began to rethink its aversion to magnetic mainframe storage. Left in the dustDespite Remington/EMCC's internal chaos, interest in the UNIVAC exploded after the 1952 CBS demonstration. This created more problems. Hopper's programming staff was now besieged with attractive offers from companies using IBM gear, creating a brainiac drain within EMCC itself. "Some members of Dr. Grace Hopper's staff have already left for positions with users of IBM equipment," Mauchly noted in a memo, "and those of her staff who still remain are now expecting attractive offers from outside sources." Customer service and support became more and more of a challenge. Still, the UNIVAC was highly competitive with IBM equipment. The question was whether EMCC could beat Big Blue in government contract bidding, specifically for the Semi-Automatic Ground Environment (SAGE) defense communications network. The SAGE project amounted to an early-warning radar system designed to pick up enemy bomber activity around the nation's borders. It was the brainchild of Jay Forrester, director of MIT's Sernomechanisms Laboratory, and central to the idea was a network of digital computers to integrate the network, dubbed "Project Whirlwind." In three years Forrester's team had pioneered real-time, high-capacity access memory for the mainframes. The government now offered a contract to build 50 Whirlwind computers. IBM quickly rallied its forces for the contest. "I thought it was absolutely essential to IBM's future that we win it," Thomas Watson Jr., who had none of Senior's allergies to digital computing, later explained. "The company that built those computers was going to be way ahead of the game, because it would learn the secrets of mass production." Forrester gave the matter some thought. Remington Rand had UNIVAC. And it had the prestige of Manhattan Project Director Leslie Groves. But Remington did not have IBM's scale of operation or its production capacity. Indeed, under Groves' direction, it had scaled that capacity down. In 1953, the government offered the contract to IBM. Historian Beyer explains the consequences of this decision:
IBM quickly integrated these discoveries into its next rollout of commercial computers. The market loved them and ordered thousands. "In a little over a year we started delivering those redesigned computers," Watson Jr. later boasted. "They made the UNIVAC obsolete and we soon left Remington Rand in the dust."
The UNIVAC universe of the 1950s—clockwise from top left: UNIVAC mathematician and programmer Grace Hopper; John W. Mauchly and John Presper Eckert; General Leslie Groves of Remington Rand; DC Comics' Brainiac confronting Superman in 1959; a Department of Commerce UNIVAC in the center. AftermathSensing the dust around it, in 1955 Remington merged with the Sperry Corporation and became Sperry Rand. No less than General Douglas MacArthur ran the new entity. This gave the UNIVAC a new lease on digital life, but one that operated in the shadow of the company that had once sworn that it would stick to punch tape: IBM. In the meantime, a slew of firms jumped into the high-speed computing business, among them RCA, National Cash Register, General Electric, and Honeywell. "IBM and the Seven Dwarfs," they were dubbed. UNIVAC was now a dwarf. Grace Hopper continued her work. She became an advocate of the assumption inherent in her UNIVAC compiler which she called "automatic" computing—the notion that programs should emphasize simple English words. Her compiler, later called FLOW-MATIC, understood 20 words. Her contemporaries patiently informed her that this number was enough. Hopper "was told very quickly that [she] couldn't do this because computers didn't understand English," she later noted. Happily, she did not believe this to be true, and advised a team that developed the COBOL programming language, which she championed and furthered through the 1960s and 1970s. US Navy Rear-Admiral Grace Murray Hopper died in 1992. Having fattened IBM on government grants for decades, the Department of Justice launched an antitrust suit against the corporation in 1969. This initiative was suddenly withdrawn by the Reagan administration in 1982—as the company once again jolted the industry by jumping into the PC market. As for UNIVAC, its complex birth 60 years ago remains the moment when we discovered that computers were going to be part of our lives—that they were going to become integral our work and collective imagination. It was also a moment when information systems developers and entrepreneurs learned that innovation and genius are not always a match for influence and organizational scale. "Howard Aiken was wrong," historian Paul Cerruzi wrote in 2000. "There turned out to be a market for millions of electronic digital computers by the 1990s." Their emergence awaited advances in solid state physics. Nonetheless, "the nearly ubiquitous computers of the 1990s are direct descendants of what Eckert and Mauchly hoped to commercialize in the late 1940s." Further readingMost of the material in this essay comes from Kurt W. Beyer's must-read book, Grace Hopper and the Invention of the Information Age (MIT Press). Also essential is Paul E. Ceruzzi's History of Modern Computing.
Friday, September 16. 2011Data Analytics: Crunching the Future
The technicians at SecureAlert’s monitoring center in Salt Lake City sit in front of computer screens filled with multicolored dots. Each dot represents someone on parole or probation wearing one of the company’s location-reporting ankle cuffs. As the people move around a city, their dots move around the map. “It looks a bit like an animated gumball machine,” says Steven Florek, SecureAlert’s vice-president of offender insights and knowledge management. As long as the gumballs don’t go where they’re not supposed to, all is well. The company works with law enforcement agencies around the U.S. to keep track of about 15,000 ex-cons, meaning it must collect and analyze billions of GPS signals transmitted by the cuffs each day. The more traditional part of the work consists of making sure that people under house arrest stay in their houses. But advances in the way information is collected and sorted mean SecureAlert isn’t just watching; the company says it can actually predict when a crime is about to go down. If that sounds like the “pre-cogs”—crime prognosticators—in the movie Minority Report, Florek thinks so, too. He calls SecureAlert’s newest capability “pre-crime” detection. Using data from the ankle cuffs and other sources, SecureAlert identifies patterns of suspicious behavior. A person convicted of domestic violence, for example, might get out of jail and set up a law-abiding routine. Quite often, though, SecureAlert’s technology sees such people backslide and start visiting the restaurants or schools or other places their victims frequent. “We know they’re looking to force an encounter,” Florek says. If the person gets too close for comfort, he says, “an alarm goes off and a flashing siren appears on the screen.” The system doesn’t go quite as far as Minority Report, where the cops break down doors and blow away the perpetrators before they perpetrate. Rather, the system can call an offender through a two-way cellphone attached to the ankle cuff to ask what the person is doing, or set off a 95-decibel shriek as a warning to others. More typically, the company will notify probation officers or police about the suspicious activity and have them investigate. Presumably with weapons holstered. “It’s like a strategy game,” Florek says. (BeforeBloomberg Businessweek went to press, Florek left the company for undisclosed reasons.) It didn’t used to be that a company the size of SecureAlert, with about $16 million in annual revenue, could engage in such a real-world chess match. For decades, only Fortune 500-scale corporations and three-letter government agencies had the money and resources to pull off this kind of data crunching. Wal-Mart Stores (WMT) is famous for using data analysis to adjust its inventory levels and prices. FedEx (FDX) earned similar respect for tweaking its delivery routes, while airlines and telecommunications companies used this technology to pinpoint and take care of their best customers. But even at the most sophisticated corporations, data analytics was often a cumbersome, ad hoc affair. Companies would pile information in “data warehouses,” and if executives had a question about some demographic trend, they had to supplicate “data priests” to tease the answers out of their costly, fragile systems. “This resulted in a situation where the analytics were always done looking in the rearview mirror,” says Paul Maritz, chief executive officer of VMware (VMW). “You were reasoning over things to find out what happened six months ago.” In the early 2000s a wave of startups made it possible to gather huge volumes of data and analyze it in record speed—à la SecureAlert. A retailer such as Macy’s (M) that once pored over last season’s sales information could shift to looking instantly at how an e-mail coupon for women’s shoes played out in different regions. “We have a banking client that used to need four days to make a decision on whether or not to trade a mortgage-backed security,” says Charles W. Berger, CEO of ParAccel, a data analytics startup founded in 2005 that powers SecureAlert’s pre-crime operation. “They do that in seven minutes now.”
Now a second wave of startups is finding ways to use cheap but powerful servers to analyze new categories of data such as blog posts, videos, photos, tweets, DNA sequences, and medical images. “The old days were about asking, ‘What is the biggest, smallest, and average?’?” says Michael Olson, CEO of startup Cloudera. “Today it’s, ‘What do you like? Who do you know?’ It’s answering these complex questions.”
The big bang in data analytics occurred in 2006 with the release of an open-source system called Hadoop. The technology was created by a software consultant named Doug Cutting, who had been examining a series of technical papers released by Google (GOOG). The papers described how the company spread tremendous amounts of information across its data centers and probed that pool of data for answers to queries. Where traditional data warehouses crammed as much information as possible on a few expensive computers, Google chopped up databases into bite-size chunks and sprinkled them among tens of thousands of cheap computers. The result was a lower-cost and higher-capacity system that lots of people can use at the same time. Google uses the technology throughout its operations. Its systems study billions of search results, match them to the first letters of a query, take a guess at what people are looking for, and display suggestions as they type. You can see the bite-size nature of the technology in action on Google Maps as tiny tiles come together to form a full map. Cutting created Hadoop to mimic Google’s technology so the rest of the world could have a way to sift through massive data sets quickly and cheaply. (Hadoop was the name of his son’s toy elephant.) The software first took off at Web companies such as Yahoo! (YHOO) and Facebook and then spread far and wide, with Walt Disney (DIS), the New York Times, Samsung, and hundreds of others starting their own projects. Cloudera, where Cutting, 48, now works, makes its own version of Hadoop and has sales partnerships withHewlett-Packard (HPQ) and Dell (DELL). Dozens of startups are trying to develop easier-to-use versions of Hadoop. For example, Datameer, in San Mateo, Calif., has built an Excel-like dashboard that allows regular business people, instead of data priests, to pose questions. “For 20 years you had limited amounts of computing and storage power and could only ask certain things,” says Datameer CEO Stefan Groschupf. “Now you just dump everything in there and ask whatever you want.” Top venture capital firms Kleiner Perkins Caufield & Byers and Redpoint Ventures have backed Datameer, while Accel Partners, Greylock Partners, and In-Q-Tel, the investment arm of the CIA, have helped finance Cloudera. Past technology worked with data that fell neatly into rows and columns—purchase dates, prices, the location of a store. Amazon.com (AMZN), for instance, would use traditional systems to track how many people bought a certain type of camera and for what price. Hadoop can handle data that don’t fit into spreadsheets. That ability, combined with Hadoop’s speedy divide-and-conquer approach to data, lets users get answers to questions they couldn’t even ask before. Retailers can dig into not just what people bought but why they bought it. Amazon can (and does) analyze its website logs to see what other items people look at before they buy that camera, how long they look at them, whether certain colors on a Web page generate more sales—and synthesize all that into real-time intelligence. Are they telling their friends about that camera? Is some new model poised to be the next big hit? “These insights don’t come super easily, but the information is there, and we do have the machine power now to process it and search for it,” says James Markarian, chief technology officer at data specialist Informatica (INFA).
Take the case of U.S. Xpress Enterprises, one of the largest private trucking companies. Through a device installed in the cabs of its 10,000-truck fleet, U.S. Xpress can track a driver’s location, how many times the driver has braked hard in the last few hours, if he sent a text message to the customer saying he would be late, and how long he rested. U.S. Xpress pays particular attention to the fuel economy of each driver, separating out the “guzzlers from the misers,” says Timothy Leonard, U.S. Xpress CTO. Truckers keep the engines running and the air conditioning on after they’ve pulled over for the night. “If you have a 10-hour break, we want your AC going for the first two hours at 70 degrees so you can go to sleep,” says Leonard. “After that, we want it back up to 78 or 79 degrees.” By adjusting the temperature, U.S. Xpress has lowered annual fuel consumption by 62 gallons per truck, which works out to a total of about $24 million per year. Less numerically, the company’s systems also analyze drivers’ tweets and blog posts. “We have a sentiment dashboard that monitors how they are feeling,” Leonard says. “If we see they hate something, we can respond with some new software or policies in a few hours.” The monitoring may come off as Big Brotherish, but U.S. Xpress sees it as key to keeping its drivers from quitting. (Driver turnover is a chronic issue in the trucking business.) How are IBM (IBM) and the other big players in the data warehousing business responding to all this? In the usual way: They’re buying startups. Last year, IBM bought Netezza for $1.7 billion. HP, EMC (EMC), and Teradata (TDC) have also acquired data analytics companies in the past 24 months.
It’s not going too far to say that data analytics has even gotten hip. The San Francisco offices of startup Splunk have all the of-the-moment accoutrements you’d find at Twitter or Zynga. The engineers work in what amounts to a giant living room with pinball machines, foosball tables, and Hello Kitty-themed cubes. Weekday parties often break out—during a recent visit, it was Mexican fiesta. Employees were wearing sombreros and fake moustaches while a dude near the tequila bar played the bongos. Splunk got its start as a type of nuts-and-bolts tool in data centers, giving administrators a way to search through data tied to the low-level operations of computers and software. The company indexes “machine events”—the second-by-second records produced by computing devices to keep track of their actions. This could include records of every time a server stores information, or it could be the length of a cell phone call and what type of handset was used. Splunk helps companies search through this morass, looking for events that caused problems or stood out as unusual. “We can see someone visit a shopping website from a certain computer, see that they got an error message while on the lady’s lingerie page, see how many times they tried to log in, where they went after, and what machine in some far-off data center caused the problem,” says Erik Swan, CTO and co-founder of Splunk. While it started as troubleshooting software for data centers, the company has morphed into an analysis tool that can be aimed at fine-tuning fraud detection systems at credit-card companies and measuring the success of online ad campaigns. A few blocks away from Splunk’s office are the more sedate headquarters of IRhythm Technologies, a medical device startup. IRhythm makes a type of oversize, plastic band-aid called the Zio Patch that helps doctors detect cardiac problems before they become fatal. Patients affix the Zio Patch to their chests for two weeks to measure their heart activity. The patients then mail the devices back to IRhythm’s offices, where a technician feeds the information into Amazon’s cloud computing service. Patients typically wear rivals’ much chunkier devices for just a couple of days and remove them when they sleep or shower—which happen to be when heart abnormalities often manifest. The upside of the waterproof Zio Patch is the length of time that people wear it—but 14 days is a whole lot of data.
IRhythm’s Hadoop system chops the 14-day periods into chunks and analyzes them with algorithms. Unusual activity gets passed along to technicians who flag worrisome patterns to doctors. For quality control of the device itself, IRhythm uses Splunk. The system monitors the strength of the Zio Patch’s recording signals, whether hot weather affects its adhesiveness to the skin, or how long a patient actually wore the device. On the Zio Patch manufacturing floor, IRhythm discovered that operations at some workstations were taking longer than expected. It used Splunk to go back to the day when the problems cropped up and discovered a computer glitch that was hanging up the operation. Mark Day, IRhythm’s vice-president of research and development, says he’s able to fine-tune his tiny startup’s operations the way a world-class manufacturer like Honda Motor (HMC) or Dell could a couple years ago. Even if he could have afforded the old-line data warehouses, they were too inflexible to provide much help. “The problem with those systems was that you don’t know ahead of time what problems you will face,” Day says. “Now, we just adapt as things come up.” At SecureAlert, Florek says that despite the much-improved tools, extracting useful meaning from data still requires effort—and in his line of work, sensitivity. If some ankle-cuff-wearing parolee wanders out-of-bounds, there’s a human in the process to make a judgment call. “We are constantly tuning our system to achieve a balance between crying wolf and catching serious situations,” he says. “Sometimes a guy just goes to a location because he got a new girlfriend.”
Posted by Christian Babski
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Monday, September 12. 2011Implantable sensor can monitor tumors constantly to sense growth-----
Sensing oxygen: This implantable sensor measures the concentration of dissolved oxygen in tissue, an indicator of tumor growth.
Researchers hope to combine the sensor with a device to deliver targeted chemotherapy. A team of medical engineers in Germany has developed an implant to continuously monitor tumor growth in cancer patients. The device, designed to be implanted in the patient near the tumor site, uses chip sensors to measure oxygen levels in the blood, an indicator of growth. The data is then transmitted wirelessly to an external receiver carried by the patient and transferred to his or her doctor for remote monitoring and analysis. "We developed the device to monitor and treat slow-growing tumors that are difficult to operate on, such as brain tumors and liver tumors, and for tumors in elderly patients for whom surgery might be dangerous," said Helmut Grothe, head of the Heinz-Nixdorf Institute for Medical Electronics at the Technical University of Munich. The roughly two-centimeter-long device, dubbed the IntelliTuM (Intelligent Implant for Tumor Monitoring), includes a self-calibrating sensor, data measurement and evaluation electronics, and a transmitter. All the components are contained within a biocompatible plastic housing. The device sensor detects the level of dissolved oxygen in the fluid near the tumor; a drop in that measure suggests the metabolic behavior of the tumor is changing, often in a more aggressive way. So far, researchers have tested the device in tissue grown in culture. The next step is to test it in live animals. Most monitoring of tumor growth is currently done via CT scans, MRI, and other forms of external imaging. "The advantage of an implant over external imaging is that you can monitor the tumor on the go," says Sven Becker of the Technical University of Munich. "This means patients would have to pay fewer visits to the hospital for progression and postsurgery monitoring of tumors. They also wouldn't have to swallow contrast agents." While the device is currently calibrated to monitor oxygen, its chips can also be used to monitor other signs of tumor change or growth. "Oxygen levels are one of the primary indicators of tumor growth, but we have also found a way to activate the pH sensors by recalibrating the device from outside the body," says Grothe. Tuesday, September 06. 2011It's Looking Up If You're Looking DownVia big think By Dominic Basulto ----- Far too many people are walking around with their heads immersed in their tiny mobile devices, or communicating affectionately with their tiny smart phones while out in public with perfectly acceptable human companions. The only problem, of course, is that humans are not evolutionarily equipped to act like this – and that inevitably leads to awkward scenes like people running into things on a city street or couples awkwardly texting with other people while having dinner "together." Tiny screens, while useful for monitoring the electronic minutiae of our daily lives, are not so useful for keeping our heads up and making eye contact with other humans. Fortunately, a number of tech companies are thinking of ways to make Looking Up the new Looking Down. Mobile device makers, encouraged by the rapid adoption of tablet technologies and people's embrace of post-PC screens, are busy developing new ways of interacting with these smaller screens that are not "inappropriately immersive." Finland’s mobile phone giant Nokia, bowed and bruised after failing to keep up with Apple in the development of sleek new mobile devices and other objects of consumer lust, is exploring a new strategy to take on Apple: developing cleverly-designed phones that enable you to make eye contact and become aware of the environment around you. As Nokia's head designer Marko Ahtisaari explained to the Wall Street Journal, "When you look around at a restaurant in Helsinki, you'll see couples having their heads down instead of having eye contact and being aware of the environment they're in... Designing for true mobility... is an example of what people would not explicitly ask for but love when they get it." Nokia is still being mysterious about what it has in store for future mobile users, but most likely, a "Look Up mobile device" (for lack of a better word) would be designed to combine the viewing potential of big screens with thr easy-to-operate interface of a smaller device. This is actually harder than it sounds. According to usability expert Jakob Nielsen, there are five different screen experiences – what he refers to as TV, mobile, desktop, "very small" (i.e. screens no larger than an RFID chip) and "very big" (i.e. screens as large as buildings). It's not enough, though, simply to translate a "very large" screen experience to a "very small" screen -- the usability considerations change, according to the different screen experiences. That's why it's always been so frustrating to browse the Web on a mobile phone - there are very different usability characteristics once you shrink a screen.
The transmedia experience - formerly the exclusive domain of entertainment brands and Hollywood - is starting to blend over into every aspect of our lives. Transmedia – which refers to seamless storytelling across different online and offline platforms – has been re-interpreted by mobile designers to include surfaces and screens. When done right, this cross-surface storytelling leads to entirely new types of interactions and experiences. BERG London, in collaboration with Dentsu London, for example, has been experimenting with "incidental media" that transform everyday objects into interactive surfaces. One thing is certain -- the future is sure to turn a few heads - or at least, tilt them upward for awhile.
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