What is AISight?
AISight: The World’s Only Behavioral Recognition™ System
AISight®, created by BRS Labs, is the ONLY video surveillance software that meets the needs of today’s ever-changing security environment.
The potential for security threats has grown dramatically over the past decade. Despite the advances made in other areas of security infrastructure, video surveillance technology’s evolution did not meet the needs of the market. To address these more sophisticated threats, BRS Labs developed AISight — a revolutionary product that has changed the security industry forever.
Traditional video analytic software can only compare captured video activity to a list of preprogrammed objects and scenarios. It requires the costly setup of tripwires, zones of interest, and scene boundaries. Initial setup and subsequent maintenance is labor intensive and has demonstrated a poor return on investment.
BRS Labs’ AISight is advanced, intelligent software that uses Behavioral Recognition™ technology to learn—on its own—about the environment and objects it observes in each camera’s field of view. Since its learning is perpetual, AISight understands which activities commonly occur in any particular scene, bringing attention to objects or behaviors that are out of the ordinary through real-time alert notification. It begins autonomously learning about every environment it observes from the moment it is connected to a video network … AISight never requires the burdensome preprograming (or reprograming) necessary for legacy video analytic systems.
With eleven Registered Patents granted and more than fifty others pending, AISight is a unique, ground-breaking product whose capabilities surpass all other video analytic products. It provides accurate, real-time alerts to security personnel about real threats, while constantly learning to ignore the everyday behaviors that trigger the exponential number of false alarms in other products. Busy security personnel no longer need to waste valuable time with systems that continually cry wolf.
How AISight Works
AISight works with patented learning and analysis engines that enable the system to observe events, analyze them, and remember them similarly to how human brain makes and stores memories. When new events differ from AISight’s memories, it determines that a suspect event is occurring and alerts security personnel.
After the software has been started, it connects to the video network and begins to monitor the unique environment and activities for each individual camera. Each camera view is stored as a separate memory. Elements that are always present in the environment become part of the “background.” Objects that enter the field of view are analyzed based on their appearance, classification and interaction within its environment and other objects. AISight analyzes the structures, sizes, shapes, locations, velocities, accelerations, paths of objects and other characteristics of all objects within the scene and forms memories about them. It also records timestamps for these events and remembers during what times of day or days of the week events most frequently occur. Just like the “Long-term Memory” of the Human Brain, the more frequently certain objects and behaviors are observed, the stronger those memories become.
Whenever AISight observes objects and behaviors, it compares these events to its current memories. The less frequently it has observed an event in the past, the weaker its memory will be about the event and the more unusual it will deem the current activity. Unusual activity is immediately reported to security personnel to enable a proactive response to potential threats, but normal activity is ignored. And even when AISight has learned to ignore certain activities, it can still be told to alert security personnel of those activities regardless of how often they occur, if needed.
Just as frequent observation of objects and events reinforces AISight’s memories, memories that aren’t reinforced degrade. This means that AISight not only learns about commonly occurring activity but also “forgets” when that activity becomes less frequent, enabling it to alert on events that are no longer commonplace. Because of this unique ability to learn, remember, and forget, AISight’s ability to provide currently relevant, accurate alerts evolves alongside the environment. It adapts to moving vegetation, lighting changes, repositioning of furniture, weather patterns, and myriad of other environmental aspects that challenge video analytic systems.
What is Behavioral Recognition Technology?
Traditional video analytic software can only compare captured video activity to a list of preprogrammed objects and scenarios. It requires the costly setup of tripwires, zones of interest, and scene boundaries. Initial setup and subsequent maintenance is labor intensive and has demonstrated a poor return on investment.
BRS Labs’ AISight is advanced, intelligent software that uses Behavioral Recognition™ technology to learn—on its own—about the environment and objects it observes in each camera’s field of view. Since its learning is perpetual, AISight understands which activities commonly occur in any particular scene, bringing attention to objects or behaviors that are out of the ordinary through real-time alert notification. It begins autonomously learning about every environment it observes from the moment it is connected to a video network … AISight never requires the burdensome preprograming (or reprograming) necessary for legacy video analytic systems.
With eleven Registered Patents granted and more than fifty others pending, AISight is a unique, ground-breaking product whose capabilities surpass all other video analytic products. It provides accurate, real-time alerts to security personnel about real threats, while constantly learning to ignore the everyday behaviors that trigger the exponential number of false alarms in other products. Busy security personnel no longer need to waste valuable time with systems that continually cry wolf.
How AISight Works
AISight works with patented learning and analysis engines that enable the system to observe events, analyze them, and remember them similarly to how human brain makes and stores memories. When new events differ from AISight’s memories, it determines that a suspect event is occurring and alerts security personnel.
After the software has been started, it connects to the video network and begins to monitor the unique environment and activities for each individual camera. Each camera view is stored as a separate memory. Elements that are always present in the environment become part of the “background.” Objects that enter the field of view are analyzed based on their appearance, classification and interaction within its environment and other objects. AISight analyzes the structures, sizes, shapes, locations, velocities, accelerations, paths of objects and other characteristics of all objects within the scene and forms memories about them. It also records timestamps for these events and remembers during what times of day or days of the week events most frequently occur. Just like the “Long-term Memory” of the Human Brain, the more frequently certain objects and behaviors are observed, the stronger those memories become.
Whenever AISight observes objects and behaviors, it compares these events to its current memories. The less frequently it has observed an event in the past, the weaker its memory will be about the event and the more unusual it will deem the current activity. Unusual activity is immediately reported to security personnel to enable a proactive response to potential threats, but normal activity is ignored. And even when AISight has learned to ignore certain activities, it can still be told to alert security personnel of those activities regardless of how often they occur, if needed.
Just as frequent observation of objects and events reinforces AISight’s memories, memories that aren’t reinforced degrade. This means that AISight not only learns about commonly occurring activity but also “forgets” when that activity becomes less frequent, enabling it to alert on events that are no longer commonplace. Because of this unique ability to learn, remember, and forget, AISight’s ability to provide currently relevant, accurate alerts evolves alongside the environment. It adapts to moving vegetation, lighting changes, repositioning of furniture, weather patterns, and myriad of other environmental aspects that challenge video analytic systems.
What is Behavioral Recognition Technology?
Behavioral Recognition™ is a Revolutionary Technology Which Fundamentally Changes the Video Surveillance Market
Behavioral Recognition technology, the backbone of the AISight system, combines computer vision with machine learning to provide actionable intelligence through real-time, relevant alerting of anomalous behavior observed by cameras. It is fairly simple to program a computer to detect movement with a camera. It’s just as simple to trigger a response if that movement violates a condition — a “rule”. But the real world environment is anything but simple. The slightest ambient variation, such as a shadow, can wreak havoc on these preconceived rules and the result is, as it has been for the last ten years, unmet expectations, disappointment and frustration by users.
BRS Labs has patented the process and technology now known as Behavioral Recognition. This technology was invented to achieve the effect without the cause, something the rules-based systems on the market today have been unable to deliver. The real world is not black and white, on or off, yes or no. The rigidity of a simple rule will always break. “Behavior” is not black or white either; it’s an endless amount of colors hidden by an infinite amount grades and tints. The trick is to recognize behavior (the cause) and achieving the effect (the distinction of behavior).
The number of shades of the color red is endless and with so many variations a human cannot explain the difference he sees between the most subtle shades. But yet one still knows when two articles of red clothing don’t look right together, that they don’t match; this is the concept of Behavioral Recognition. Introduce dimension and you have a different example: How does one teach a computer to recognize a human when seen through a camera, while every camera sees from a different angle? One can’t! A single human will look completely different from one camera to another. One camera mounted low may be able to detect four limbs and a head, while a camera mounted high might not even see the legs as a person walks below it. The only viable method is to allow the computer to learn the subtle differences itself. Let it become aware that objects appear differently from one angle to the next, and that the behavior of humans in one camera may be completely different than the behavior found in another. Only then can the power of reason be utilized. Behavioral Recognition is a “Reason-based” system unencumbered by man-made rules.
First utilized in San Francisco's MUNI system.
A new breed of security cameras can supposedly detect terrorism and crime without a human judgment call--and mass transit agencies are shelling out big bucks for the product. San Francisco's Municipal Transit Authority, which oversees the city's MUNI trains, has signed a contract with security firm BRS Labs to deploy cameras to 12 subway stations that use algorithms and machine learning techniques to spot anomalous behavior.
BRS Labs is a security firm that provides behavior recognition software for video surveillance. The company's clients include government, tourist attractions, military bases, and private industry; BRS's software issues real-time text alerts when cameras detect strange behavior. Servers connected to security cameras observe locations for weeks at a time and then establish a baseline of “normal” behavior based on this timespan; anomalous activities afterwards (loitering, abandoned packages, abnormally high/low numbers of passengers) trigger an alert. No tripwires or programming of initial parameters are required.
According to a publicly available product bid, the San Francisco MUNI project will include up to 22 connected cameras at each train station; video monitoring will be conducted by train control, MUNI Metro East facility, and in-station personnel. The video systems will build memories of observed behavior patterns that mature with time; the systems, in the bid's words, “[have] the capability to learn from what [they] observe.”
In an interview with Fast Company, BRS Labs President John Frazzini said that the company's AIsight behavior recognition product relies on 11 patents related to computer vision technology and surveillance imagery. BRS's patents primarily deal with the intersection between computer vision and machine learning; video footage grabbed by MUNI cameras will be automatically translated into code for real-time processing. Clips of anomalous activity are dispatched to MUNI employees automatically; SMS text message alerts are also sent to staffers' mobile phones.
The post-9/11 emphasis on “homeland security” and anti-terrorism efforts has resulted in a gold rush of surveillance contracts from mass transit agencies and public institutions nationwide. While large mass transit agencies such as New York's MTA and Chicago's CTA have been cagey about their counter-terrorism efforts, trade show presentations and chatter in industry publications have given a basic idea of what is happening. Apart from machine learning-based video surveillance, subway security has also taken on wackier (and scarier) aspects: The Homeland Security Department has publicly announced their plans to release bacteria into Boston T tunnels this summer in order to test new biological weapon detectors deployed throughout the subway system.
The same technology that's being deployed in San Francisco's subway is also intended for the global market. BRS, which is based in Houston, has overseas offices in London, Sao Paulo, and Barcelona. BRS Labs' AISight product is primarily intended for use in counter-terrorism efforts. AISight's software algorithm has limited success in detecting in-station muggings or subway perverts, two issues of much more immediate interest to mass transit ridership than terrorist attacks.
Another unique aspect of BRS's product is the fact that it heavily relies on timestamps and time recognition. Behavior and objects are coded according to the times of day or days of the week in which they most frequently occur; the velocity, acceleration, and path of customers passing through a station are analyzed as well. Spatial anomalies and classification anomalies are taken into account as well.
One worrying--or appealing to budget-minded clients--aspect of BRS's product is the fact that their software product sharply reduces the need for human camera maintenance. The algorithms behind AISight compensate for lighting changes, shaky images, and poor bandwidth. Between the automated evaluation of “anomalies” and their software-based maintenance process, the need for human supervision for effective software operation sharply declines.
BRS's promotional literature promises that their software product can accurately detect loitering in unusual places at train stations, abandoned objects, and “tailgating” at entrances.
Verified customers of BRS's system beyond the SFMTA include the City of Houston, Boeing, the Louisiana Port Commission, the City of Birmingham (AL), and security contractors for the Nuclear Regulatory Commission. Publicly available documents indicate that the Port Authority of New York and New Jersey is deploying BRS's technology for a pilot project at the World Trade Center as well. Fast Company is based at the World Trade Center complex.
2011 was a rough year for Netflix. One bright spot? The company surpassed Apple to become the leader in the U.S. online movie business, according to a new report from IHS Screen Digest out today.
Netflix's revenue share of the U.S. online movie business jumped from 1% in 2010 to 44% in 2011 (the company grossed $992 million last year). Apple, previously the market's landslide leader, dropped from 60.8% to just 32.3% during the same time period. Though that may not look great for Apple on the surface, the study points out that Apple and Netflix are leading at opposite ends of the market. Though Netflix rules the stream-on-demand market, which is popular for older titles, Apple still claims 63% of the pay-per-view sector, which is largely dominated by new releases. Screen Digest predicts more of us will turn to streaming in 2012--to the tune of the whopping 3.4 billion movies it predicts we'll pay to watch online this year.
Netflix's revenue share of the U.S. online movie business jumped from 1% in 2010 to 44% in 2011 (the company grossed $992 million last year). Apple, previously the market's landslide leader, dropped from 60.8% to just 32.3% during the same time period. Though that may not look great for Apple on the surface, the study points out that Apple and Netflix are leading at opposite ends of the market. Though Netflix rules the stream-on-demand market, which is popular for older titles, Apple still claims 63% of the pay-per-view sector, which is largely dominated by new releases. Screen Digest predicts more of us will turn to streaming in 2012--to the tune of the whopping 3.4 billion movies it predicts we'll pay to watch online this year.
US stock markets sold off friday, as dismal jobs report added worries to global economic growth. China is already slowing in growth. India has shown lowest growth in first quarter, meanwhile European woes to rattle markets. Spain borrowing cost, Greek election poll predictions, Germany's denial of banking union amongst EU nations will continue to weigh asian markets today. Technically, S&P 500 broken a key important level of 1300 decisively. It might predict more downside for markets, but any clarity regarding EU policies might lead to a bounce back.
Nifty Trading Tips & Outlook Today:
We have recommended to short Nifty on Thursday & Friday trading sessions. Nifty will break important support 4800 and might trade below. If it closes below 4800, it creates another sell signal, but technically support levels might lead to bounce back soon. We advice not to trade Nifty today and wait for another technical break off below 4750.
Check out our previous recommendations here
Nifty Trading Tips & Outlook Today:
We have recommended to short Nifty on Thursday & Friday trading sessions. Nifty will break important support 4800 and might trade below. If it closes below 4800, it creates another sell signal, but technically support levels might lead to bounce back soon. We advice not to trade Nifty today and wait for another technical break off below 4750.
Check out our previous recommendations here
Thought: Facebook ( NASDAQ:FB ) was down for few hours and was back shortly, but its stock was down since first day of IPO when it will be back? It touched $27, how much downside left or may be abyss..
Facebook's website suffered sporadic outages on Thursday (Friday in some time zones), anywhere from half an hour to two hours according to various blogs, tweets and affected users, but the company said the problem has been fixed.
"Earlier today, some users briefly experienced issues loading the site. The issues have since been resolved and everyone should now have access to Facebook," company spokesman Michael Kirkland told Reuters.
The outages came as Facebook continued to grapple with the fallout of its botched May 18 IPO. The stock has plummeted nearly 23 per cent from its IPO price, and numerous lawsuits have been filed in the wake of first-day trading glitches.
"Earlier today, some users briefly experienced issues loading the site. The issues have since been resolved and everyone should now have access to Facebook," company spokesman Michael Kirkland told Reuters.
The outages came as Facebook continued to grapple with the fallout of its botched May 18 IPO. The stock has plummeted nearly 23 per cent from its IPO price, and numerous lawsuits have been filed in the wake of first-day trading glitches.
IBM And Honeywell's Barcode Scanning App Will Speed Up Your Grocery Run
Retailers big and small are cultivating a mobile-rich approach to their brick and mortar stores, rigging up their stores with swipe spots for your NFC-capable mobile wallet and replacing checkout tills with iPads. That change is bleeding into the pre-payment shopping experience as well. IBM and Honeywell just announced a new mobile app that lets customers scan and price their shopping as they pluck an item from the shop shelf and deposit it in their cart. The app is available for Android and iOS devices, and can scan any barcode on a product, "no matter what background it is printed on, the direction it faces, or the packaging covering it." The idea is, a customer can scan and check prices at will, then make a speedy exit through an IBM self-checkout station. (According to IBM research, self-checkouts themselves are hugely popular.) Coupons and promotions are included in the app, IBM says in a release.
Android APIs Safe In Google-Oracle Patent Fight
A California judge has ruled to cut Android out of the patent court battle between Google and Oracle. Oracle laid claim to Google's blockbuster mobile OS with charges that Google had violated rights to Oracle's Java APIs while creating Android. APIs, or application programming interfaces are bits of code that link different bits of software. Google's response was that an open source language cannot be patented--an argument a San Francisco judge agreed with. In a ruling, Judge Alsup (who learned to code in Java) decreed that the 37 APIs in question were free to use, though his ruling does not extend to other APIs.
Windows 8 Preview Hits, iPad-Challenging Tablets Coming In Its Wake
Microsoft has finally drawn the curtain on its public preview edition of Windows 8, it's next-generation operating system. This release is the final, near-complete preview of Win8 before its commercial release as a finished product, and gives Microsoft the chance to get the OS beta-tested by millions of people. Microsoft is counting on Win8 to ensure its future in the computing game, which has swung radically away from its traditional market with the boom in mobile computing and through innovations like the iPad. Acer, Toshiba, and Asus--all big-name PC makers usually aligned with Microsoft--are simultaneously said to be ready to reveal their Windows 8 tablets next week at the Computex show. Tablet sales will, MS hopes, win it a share of the booming mobile apps economy--said to be worth $58 billion.
Retailers big and small are cultivating a mobile-rich approach to their brick and mortar stores, rigging up their stores with swipe spots for your NFC-capable mobile wallet and replacing checkout tills with iPads. That change is bleeding into the pre-payment shopping experience as well. IBM and Honeywell just announced a new mobile app that lets customers scan and price their shopping as they pluck an item from the shop shelf and deposit it in their cart. The app is available for Android and iOS devices, and can scan any barcode on a product, "no matter what background it is printed on, the direction it faces, or the packaging covering it." The idea is, a customer can scan and check prices at will, then make a speedy exit through an IBM self-checkout station. (According to IBM research, self-checkouts themselves are hugely popular.) Coupons and promotions are included in the app, IBM says in a release.
Android APIs Safe In Google-Oracle Patent Fight
A California judge has ruled to cut Android out of the patent court battle between Google and Oracle. Oracle laid claim to Google's blockbuster mobile OS with charges that Google had violated rights to Oracle's Java APIs while creating Android. APIs, or application programming interfaces are bits of code that link different bits of software. Google's response was that an open source language cannot be patented--an argument a San Francisco judge agreed with. In a ruling, Judge Alsup (who learned to code in Java) decreed that the 37 APIs in question were free to use, though his ruling does not extend to other APIs.
Windows 8 Preview Hits, iPad-Challenging Tablets Coming In Its Wake
Microsoft has finally drawn the curtain on its public preview edition of Windows 8, it's next-generation operating system. This release is the final, near-complete preview of Win8 before its commercial release as a finished product, and gives Microsoft the chance to get the OS beta-tested by millions of people. Microsoft is counting on Win8 to ensure its future in the computing game, which has swung radically away from its traditional market with the boom in mobile computing and through innovations like the iPad. Acer, Toshiba, and Asus--all big-name PC makers usually aligned with Microsoft--are simultaneously said to be ready to reveal their Windows 8 tablets next week at the Computex show. Tablet sales will, MS hopes, win it a share of the booming mobile apps economy--said to be worth $58 billion.
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Global markets were under pressure due to the Spain debt worries and deadlock between European Union. Greek exit is also a focus for the market traders as next election to be held on june 17. If greece plans to exit euro, it will be catastrophic for markets and market might sell off. Meanwhile US economic indicators are loosing momentum and slipping added to more economic woes. Unemployment data is picking up in US and manufacturing dropped more than expected. Today's job data will clarify the picture, although no one is expecting any surprise on positive side, but if it comes on lower side of estimate, S&P will loose its important 1300 support level and another round of selling will start. S&P 500 is just holding up 1300 levels and bouncing back from the support. Watch out for those levels.
Nifty Trading Tips & Outlook Today
Our last call was buy on dips on Nifty as index has gained a momentum but unfortunately, it couldn't get above 5000 levels and stayed there. Selling pressure due to global uncertainty as well as worst GDP number for the quarter put a pressure on the markets and might see downgrades and revised earning targets for large caps. All these events lined up in next few days and might continue pressuring Nifty. Long positions squared off and one might look to short Nifty around 4980-5000 levels ( Spot ). The range for Nifty will be 4800-5000( Spot ) for next trading strategy. Trade accordingly
Check out our previous recommendation here
Nifty Trading Tips & Outlook Today
Our last call was buy on dips on Nifty as index has gained a momentum but unfortunately, it couldn't get above 5000 levels and stayed there. Selling pressure due to global uncertainty as well as worst GDP number for the quarter put a pressure on the markets and might see downgrades and revised earning targets for large caps. All these events lined up in next few days and might continue pressuring Nifty. Long positions squared off and one might look to short Nifty around 4980-5000 levels ( Spot ). The range for Nifty will be 4800-5000( Spot ) for next trading strategy. Trade accordingly
Check out our previous recommendation here
SpaceX Dragon Makes Fiery Re-entry, Watery Landing
SpaceX's Dragon capsule successfully undocked and deorbitted this morning after a historic launch and hookup with the International Space Station. The capsule completed its mission today, re-entering the Earth's atmosphere and splashing down in its general target area in the Pacific. (Elon Musk, SpaceX chief tweeted that the next version would "land with helicopter precison.") The craft was located after splashdown and is being recovered off the Baja Coast of California.
New Cyberweapon IXESHE Discovered
A new advanced persistent threat named IXESHE (pronounced I-Sushi) was recently discovered on the computer networks of Taiwanese electronics companies and several East Asian governments. The IXESHE campaign appears to have been underway since early 2009. According to a research paper by Trend Micro, IXESHE spread via infected PDF files that were sent to deliberately targeted employees. Once the APT infected a computer, the malware binary allowed unknown parties to remotely control and monitor operations. The spearphishing emails had titles such as "Discussion on Cross- Strait Maritime Cooperation," "The Obama Administration and the Middle East," and "China’s Charm Diplomacy in BRICS Summit."
Mobile News Reader Taptu Releases Web App Powered By HTML 5
News discovery and reader app Taptu just released a version of their reader app for the Web, powered by HTML5.
The web version of the news reader adds to Taptu's existing apps for iOS, Android, Nook, Blackberry and Kindle. Its creation was motivated by responses from its users, CEO Mitch Lazar told Fast Company. "Of all the requests we get regularly, the number one request has really been, 'Give us Taptu on the Web.'"
For Taptu, getting on the Web, is a break from tradition set by most newsreader apps, which tend to be mobile app focused, and in the case of Flipboard, only available on iOS devices. The Taptu Web app also prepares the company for a potential future in the versatile and cross-platform HTML5 as opposed to native apps. Though, for now, Taptu's focus won't stray too far from its mobile heritage. "If the market does move that way we'll be ready," Lazar said.
A little less like Flipboard, but a little more like Zite, Taptu's trump card is its search feature which throws up news stream suggestions based on word-search algorithms. Also, Taptu lets you "DJ your news" by mixing source streams within the app itself, as you might do with a Twitter list, or a Google Reader folder. Taptu is now porting those strengths to the desktop-accessible Web.
Up to 50 percent of Taptu's 800,000 readers are based in the U.S., home turf to other reader apps like Flipboard and Zite. 30 percent of Taptu's following is based in the company's base in the U.K.
ACTA Rejected In EU, As Google Faces Piracy Accusations
Today the Industry Committee, the Civil Liberties Committee and the Legal Affairs Committee of the European Parliament formally registered their recommendations to not sign the controversial Anti-Counterfeiting Trade Agreement ahead of a full EU vote in July.ArsTechnica points out it's the latest step in rejection of ACTA (which was designed by international bodies to protect assets of content creators with punitive measures, and ratified by President Obama in 2011), coming after national-level Dutch, Polish, German and Czech disapproval.
Meanwhile the RIAA has openly accused Google of failing to move dramatically against piracy-enabling websites linked through its search results, despite Google's recent moves to make its actions more clearly understood by adding Copyright Removal Requests to its Transparency Report. RIAA's EVP Brad Buckles has complained in a blog post that Google places "artificial limits on the number of queries that can be made by a copyright owner to identify infringements," and also "limits the number of links we can ask them to remove per day." The recording industry spokesbody is thus squarely blaming Google for merely linking to sites that then themselves link on to enable piracy of music.
Speaking at AllThingsD's D10 conference last night, Hollywood agent and head of William Morris Endeavor Agency Ari Emanuel made a number of controversial comments that similarly blamed Google for enabling piracy by not suppressing links to piracy-related search results. Faced with a question on the matter from The Verge's Josh Topolosky, Emanuel seemed confused and angered that this position was analagously compared to blaming the road a burglar drove down before burgling someone's house. Emanuel also point blank refused the notion that cable companies would unbundle content.
Earlier this month a study by North Carolina State University was the latest in a line of studies to show that piracy actually promotes sales of online content by showing torrented albums sold better than non-pirated peers. Also speaking at AllthingsD, Spotify's Daniel Ek noted that he expected his wildly successful online music streaming service, which generates reliable income for labels and may dissuade piracy due to its convenience and low cost, was blocked from entering the U.S. by inflexibility by record labels throughout a two and a half year process.
Cricket Wireless To Sell Pre-Paid iPhone Plans In The U.S.
Cricket Wireless has just become the first carrier to sell the iPhone in the U.S. as part of a pre-paid plan. Starting June 22, for $55 buyers of the iPhone 4 and iPhone 4S will have access to unlimited talk, texting, and data. The cost of the Cricket iPhone models are pegged at $150 less than the unlocked iPhone models sold by Apple, making it a sweeter deal for U.S. buyers reluctant to commit to one cellular network. While the Cricket pre-paid plan for the iPhone is a first for the U.S., pre-paid phones are much more common in international markets, which account for 60% of Apple's sales. Leap Wireless, which owns and sells phones though Cricket, has been selling phones of all kinds on pre-paid plans for about 10 years now, using a flat-rate, pre-paid, unlimited access model. Cricket also sells contractless access to broadband.
Virgin Galactic Space Crafts Get FAA Approval For Rocket-Powered Test Flight
The U.S. Federal Aviation Authority has granted Virgin Galactic's aircraft builder, Scaled, a permit to test launch vehicles using rocket motors. Two spacecrafts, the Spaceship Two and WhiteNightTwo have been approved to fly free, carrying the full weight of a rocket motor on board--the motor and craft have previously been tested independently. According to Virgin, Spaceship Two is the first human-carrying vehicle to receive such approval. This news comes just as another historic moment for private space flight winds down--over the last week,SpaceX's Dragon capsule successfully launched and docked with the ISS in spac, becoming the first privately built rocket to do so. As of this morning, Dragon has undocked and begun its journey back to Earth.
Online Advertising Rises Past 20% Of Ad Spending In Europe
The advertising industry seems somewhat resistant to the economic woes in Europe right now--it rose 0.8% in 2011. Online ads seem to be growing best with 14.5% year-on-year growth, while passing the €20 billion annual total for the first time. Considering that the entire European ad industry was worth about €100 billion in 2011, that means one in every five ads was seen online, with video ads being a particularly robust area of growth. The trend is likely to continue considering the growing integration of computing tech into daily lives, particularly when mobile, and may be one reason that Facebook is said to be working on a smartphone.
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Rozlyn Khan, another bollywood actress make a strip show for MS Dhoni after the Poonam Pandey.
As the headlines about Poonam pandey's nudity drama hasn't over yet, Another model cum actress Rozlyn Khan went topless to show loyalty to MS Dhoni and support Chennai Team. Is nudity only way to show support or cheer teams or there might be a publicity stunts? Most of the people who even doesn't heard the name of the model like Poonam Pandey or Rozlyn Khan might search Google for their nude pics. This might be a new trend to get focused by people and get noticed.