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Paul Merrell

Help:CirrusSearch - MediaWiki - 0 views

  • CirrusSearch is a new search engine for MediaWiki. The Wikimedia Foundation is migrating to CirrusSearch since it features key improvements over the previously used search engine, LuceneSearch. This page describes the features that are new or different compared to the past solutions.
  • 1 Frequently asked questions 1.1 What's improved? 2 Updates 3 Search suggestions 4 Full text search 4.1 Stemming 4.2 Filters (intitle:, incategory: and linksto:) 4.3 prefix: 4.4 Special prefixes 4.5 Did you mean 4.6 Prefer phrase matches 4.7 Fuzzy search 4.8 Phrase search and proximity 4.9 Quotes and exact matches 4.10 prefer-recent: 4.11 hastemplate: 4.12 boost-templates: 4.13 insource: 4.14 Auxiliary Text 4.15 Lead Text 4.16 Commons Search 5 See also
  • Stemming In search terminology, support for "stemming" means that a search for "swim" will also include "swimming" and "swimmed", but not "swam". There is support for dozens of languages, but all languages are wanted. There is a list of currently supported languages at elasticsearch.org; see their documentation on contributing to submit requests or patches.
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  • See also Full specifications in the browser tests
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    Lots of new tricks to learn on sites using MediaWiki as folks update their installations, I'm not a big fan of programs written in PHP and Javascript, but they're impossible to avoid on the Web. So is MediaWiki, so any real improvements help.  
Paul Merrell

Microsoft Pitches Technology That Can Read Facial Expressions at Political Rallies - 0 views

  • On the 21st floor of a high-rise hotel in Cleveland, in a room full of political operatives, Microsoft’s Research Division was advertising a technology that could read each facial expression in a massive crowd, analyze the emotions, and report back in real time. “You could use this at a Trump rally,” a sales representative told me. At both the Republican and Democratic conventions, Microsoft sponsored event spaces for the news outlet Politico. Politico, in turn, hosted a series of Microsoft-sponsored discussions about the use of data technology in political campaigns. And throughout Politico’s spaces in both Philadelphia and Cleveland, Microsoft advertised an array of products from “Microsoft Cognitive Services,” its artificial intelligence and cloud computing division. At one exhibit, titled “Realtime Crowd Insights,” a small camera scanned the room, while a monitor displayed the captured image. Every five seconds, a new image would appear with data annotated for each face — an assigned serial number, gender, estimated age, and any emotions detected in the facial expression. When I approached, the machine labeled me “b2ff” and correctly identified me as a 23-year-old male.
  • “Realtime Crowd Insights” is an Application Programming Interface (API), or a software tool that connects web applications to Microsoft’s cloud computing services. Through Microsoft’s emotional analysis API — a component of Realtime Crowd Insights — applications send an image to Microsoft’s servers. Microsoft’s servers then analyze the faces and return emotional profiles for each one. In a November blog post, Microsoft said that the emotional analysis could detect “anger, contempt, fear, disgust, happiness, neutral, sadness or surprise.” Microsoft’s sales representatives told me that political campaigns could use the technology to measure the emotional impact of different talking points — and political scientists could use it to study crowd response at rallies.
  • Facial recognition technology — the identification of faces by name — is already widely used in secret by law enforcement, sports stadiums, retail stores, and even churches, despite being of questionable legality. As early as 2002, facial recognition technology was used at the Super Bowl to cross-reference the 100,000 attendees to a database of the faces of known criminals. The technology is controversial enough that in 2013, Google tried to ban the use of facial recognition apps in its Google glass system. But “Realtime Crowd Insights” is not true facial recognition — it could not identify me by name, only as “b2ff.” It did, however, store enough data on each face that it could continuously identify it with the same serial number, even hours later. The display demonstrated that capability by distinguishing between the number of total faces it had seen, and the number of unique serial numbers. Photo: Alex Emmons
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  • Instead, “Realtime Crowd Insights” is an example of facial characterization technology — where computers analyze faces without necessarily identifying them. Facial characterization has many positive applications — it has been tested in the classroom, as a tool for spotting struggling students, and Microsoft has boasted that the tool will even help blind people read the faces around them. But facial characterization can also be used to assemble and store large profiles of information on individuals, even anonymously.
  • Alvaro Bedoya, a professor at Georgetown Law School and expert on privacy and facial recognition, has hailed that code of conduct as evidence that Microsoft is trying to do the right thing. But he pointed out that it leaves a number of questions unanswered — as illustrated in Cleveland and Philadelphia. “It’s interesting that the app being shown at the convention ‘remembered’ the faces of the people who walked by. That would seem to suggest that their faces were being stored and processed without the consent that Microsoft’s policy requires,” Bedoya said. “You have to wonder: What happened to the face templates of the people who walked by that booth? Were they deleted? Or are they still in the system?” Microsoft officials declined to comment on exactly what information is collected on each face and what data is retained or stored, instead referring me to their privacy policy, which does not address the question. Bedoya also pointed out that Microsoft’s marketing did not seem to match the consent policy. “It’s difficult to envision how companies will obtain consent from people in large crowds or rallies.”
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    But nobody is saying that the output of this technology can't be combined with the output of facial recognition technology to let them monitor you individually AND track your emotions. Fortunately, others are fighting back with knowledge and tech to block facial recognition. http://goo.gl/JMQM2W
clariene Austria

Website lead generation - 3 views

We know how expensive websites can cost. And we know how expensive SEO can be. We don't want you to get into overdraft to get a website, but we don't want to design a low quality website as well. S...

lead generation seo web design

started by clariene Austria on 08 May 12 no follow-up yet
Paul Merrell

Another judge upholds NSA call tracking - POLITICO.com - 0 views

  • A federal judge in Idaho has upheld the constitutionality of the National Security Agency's program that gathers massive quanities of data on the telephone calls of Americans. The ruling Tuesday from U.S. District Court Judge B. Lynn Winmill leaves the federal government with two wins in lawsuits decided since the program was revealed about a year ago by ex-NSA contractor Edward Snowden. In addition, one judge handling a criminal case ruled that the surveillance did not violate the Constitution. Opponents of the program have only one win: U.S. District Court Judge Richard Leon's ruling in December that the program likely violates the Fourth Amendment. In the new decision, Winmill said binding precedent in the Ninth Circuit holds that call and email metadata are not protected by the Constitution and no warrant is needed to obtain it.
  • "The weight of the authority favors the NSA," wrote Winmill, an appointee of President Bill Clinton. Winmill took note of Leon's contrary decision and called it eloquent, but concluded it departs from current Supreme Court precedent — though perhaps not for long. "Judge Leon’s decision should serve as a template for a Supreme Court opinion. And it might yet," Winmill wrote as he threw out the lawsuit brought by an Idaho registered nurse who objected to the gathering of data on her phone calls. Winmill's opinion (posted here) does not address an argument put forward by some critics of the program, including some lawmakers: that the metadata program violates federal law because it does not fit squarely within the language of the statute used to authorize it.
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    A partial win for the public. The judge makes plain that he disagrees with pre-Snowden disclosure precedent and recommends that the Supreme Court adopt the reasoning of Judge Richard Leon's ruling that finds the NSA call-metadata violative of the Fourth Amendment. The judge says his hands are tied by prior decisions in the Ninth Circuit Court of Appeals that gave an expansive reading to Smith v. Maryland.
Gary Edwards

Google plan to kill Javascript with Dart, fight off Apple * The Register - 0 views

  • Details on Dart on the Goto conference site were brief and Google has not officially said anything. Goto called Dart: "A new programming language for structured web programming." According to the email, though, Dash has been designed to hit three objectives: improved performance, developer usability and what Google is calling the "ability to be tooled".
  • Translated that last bit means an ability to be used with tools for coding activities such as refactoring used in large-scale programming projects.
  • Driving Dash/Dart is Google's fear of Apple and the rise of the closed web and what that could mean to Google as a programming platform for accessing the web. Google is apparently concerned innovation is moving off the web as we and Tim Berners-Lee know it, and on to the popular but fenced-off iPhone and iPad. That poses a huge problem for Google when you've built a search and ads empire on a web without fences.
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  • The web has succeeded historically to some extent in spite of the web platform, based primarily on the strength of its reach. The emergence of compelling alternative platforms like iOS has meant that the web platform must compete on its merits, not just its reach. Javascript as it exists today will likely not be a viable solution long-term. Something must change.
  • The language has been designed to be consumed in the browser VM, on the front-end server and different compilers
  • Google has folded the team behind its JSPrime successor to GWT into the effort building the new language, while Joy will be built in to provide templating and model-view controller (MVC) features for code development.
Paul Merrell

The Latest Rules on How Long NSA Can Keep Americans' Encrypted Data Look Too Familiar |... - 0 views

  • Does the National Security Agency (NSA) have the authority to collect and keep all encrypted Internet traffic for as long as is necessary to decrypt that traffic? That was a question first raised in June 2013, after the minimization procedures governing telephone and Internet records collected under Section 702 of the Foreign Intelligence Surveillance Act were disclosed by Edward Snowden. The issue quickly receded into the background, however, as the world struggled to keep up with the deluge of surveillance disclosures. The Intelligence Authorization Act of 2015, which passed Congress this last December, should bring the question back to the fore. It established retention guidelines for communications collected under Executive Order 12333 and included an exception that allows NSA to keep ‘incidentally’ collected encrypted communications for an indefinite period of time. This creates a massive loophole in the guidelines. NSA’s retention of encrypted communications deserves further consideration today, now that these retention guidelines have been written into law. It has become increasingly clear over the last year that surveillance reform will be driven by technological change—specifically by the growing use of encryption technologies. Therefore, any legislation touching on encryption should receive close scrutiny.
  • Section 309 of the intel authorization bill describes “procedures for the retention of incidentally acquired communications.” It establishes retention guidelines for surveillance programs that are “reasonably anticipated to result in the acquisition of [telephone or electronic communications] to or from a United States person.” Communications to or from a United States person are ‘incidentally’ collected because the U.S. person is not the actual target of the collection. Section 309 states that these incidentally collected communications must be deleted after five years unless they meet a number of exceptions. One of these exceptions is that “the communication is enciphered or reasonably believed to have a secret meaning.” This exception appears to be directly lifted from NSA’s minimization procedures for data collected under Section 702 of FISA, which were declassified in 2013. 
  • While Section 309 specifically applies to collection taking place under E.O. 12333, not FISA, several of the exceptions described in Section 309 closely match exceptions in the FISA minimization procedures. That includes the exception for “enciphered” communications. Those minimization procedures almost certainly served as a model for these retention guidelines and will likely shape how this new language is interpreted by the Executive Branch. Section 309 also asks the heads of each relevant member of the intelligence community to develop procedures to ensure compliance with new retention requirements. I expect those procedures to look a lot like the FISA minimization guidelines.
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  • This language is broad, circular, and technically incoherent, so it takes some effort to parse appropriately. When the minimization procedures were disclosed in 2013, this language was interpreted by outside commentators to mean that NSA may keep all encrypted data that has been incidentally collected under Section 702 for at least as long as is necessary to decrypt that data. Is this the correct interpretation? I think so. It is important to realize that the language above isn’t just broad. It seems purposefully broad. The part regarding relevance seems to mirror the rationale NSA has used to justify its bulk phone records collection program. Under that program, all phone records were relevant because some of those records could be valuable to terrorism investigations and (allegedly) it isn’t possible to collect only those valuable records. This is the “to find a needle a haystack, you first have to have the haystack” argument. The same argument could be applied to encrypted data and might be at play here.
  • This exception doesn’t just apply to encrypted data that might be relevant to a current foreign intelligence investigation. It also applies to cases in which the encrypted data is likely to become relevant to a future intelligence requirement. This is some remarkably generous language. It seems one could justify keeping any type of encrypted data under this exception. Upon close reading, it is difficult to avoid the conclusion that these procedures were written carefully to allow NSA to collect and keep a broad category of encrypted data under the rationale that this data might contain the communications of NSA targets and that it might be decrypted in the future. If NSA isn’t doing this today, then whoever wrote these minimization procedures wanted to at least ensure that NSA has the authority to do this tomorrow.
  • There are a few additional observations that are worth making regarding these nominally new retention guidelines and Section 702 collection. First, the concept of incidental collection as it has typically been used makes very little sense when applied to encrypted data. The way that NSA’s Section 702 upstream “about” collection is understood to work is that technology installed on the network does some sort of pattern match on Internet traffic; say that an NSA target uses example@gmail.com to communicate. NSA would then search content of emails for references to example@gmail.com. This could notionally result in a lot of incidental collection of U.S. persons’ communications whenever the email that references example@gmail.com is somehow mixed together with emails that have nothing to do with the target. This type of incidental collection isn’t possible when the data is encrypted because it won’t be possible to search and find example@gmail.com in the body of an email. Instead, example@gmail.com will have been turned into some alternative, indecipherable string of bits on the network. Incidental collection shouldn’t occur because the pattern match can’t occur in the first place. This demonstrates that, when communications are encrypted, it will be much harder for NSA to search Internet traffic for a unique ID associated with a specific target.
  • This lends further credence to the conclusion above: rather than doing targeted collection against specific individuals, NSA is collecting, or plans to collect, a broad class of data that is encrypted. For example, NSA might collect all PGP encrypted emails or all Tor traffic. In those cases, NSA could search Internet traffic for patterns associated with specific types of communications, rather than specific individuals’ communications. This would technically meet the definition of incidental collection because such activity would result in the collection of communications of U.S. persons who aren’t the actual targets of surveillance. Collection of all Tor traffic would entail a lot of this “incidental” collection because the communications of NSA targets would be mixed with the communications of a large number of non-target U.S. persons. However, this “incidental” collection is inconsistent with how the term is typically used, which is to refer to over-collection resulting from targeted surveillance programs. If NSA were collecting all Tor traffic, that activity wouldn’t actually be targeted, and so any resulting over-collection wouldn’t actually be incidental. Moreover, greater use of encryption by the general public would result in an ever-growing amount of this type of incidental collection.
  • This type of collection would also be inconsistent with representations of Section 702 upstream collection that have been made to the public and to Congress. Intelligence officials have repeatedly suggested that search terms used as part of this program have a high degree of specificity. They have also argued that the program is an example of targeted rather than bulk collection. ODNI General Counsel Robert Litt, in a March 2014 meeting before the Privacy and Civil Liberties Oversight Board, stated that “there is either a misconception or a mischaracterization commonly repeated that Section 702 is a form of bulk collection. It is not bulk collection. It is targeted collection based on selectors such as telephone numbers or email addresses where there’s reason to believe that the selector is relevant to a foreign intelligence purpose.” The collection of Internet traffic based on patterns associated with types of communications would be bulk collection; more akin to NSA’s collection of phone records en mass than it is to targeted collection focused on specific individuals. Moreover, this type of collection would certainly fall within the definition of bulk collection provided just last week by the National Academy of Sciences: “collection in which a significant portion of the retained data pertains to identifiers that are not targets at the time of collection.”
  • The Section 702 minimization procedures, which will serve as a template for any new retention guidelines established for E.O. 12333 collection, create a large loophole for encrypted communications. With everything from email to Internet browsing to real-time communications moving to encrypted formats, an ever-growing amount of Internet traffic will fall within this loophole.
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    Tucked into a budget authorization act in December without press notice. Section 309 (the Act is linked from the article) appears to be very broad authority for the NSA to intercept any form of telephone or other electronic information in bulk. There are far more exceptions from the five-year retention limitation than the encrypted information exception. When reading this, keep in mind that the U.S. intelligence community plays semantic games to obfuscate what it does. One of its word plays is that communications are not "collected" until an analyst looks at or listens to partiuclar data, even though the data will be searched to find information countless times before it becomes "collected." That searching was the major basis for a decision by the U.S. District Court in Washington, D.C. that bulk collection of telephone communications was unconstitutional: Under the Fourth Amendment, a "search" or "seizure" requiring a judicial warrant occurs no later than when the information is intercepted. That case is on appeal, has been briefed and argued, and a decision could come any time now. Similar cases are pending in two other courts of appeals. Also, an important definition from the new Intelligence Authorization Act: "(a) DEFINITIONS.-In this section: (1) COVERED COMMUNICATION.-The term ''covered communication'' means any nonpublic telephone or electronic communication acquired without the consent of a person who is a party to the communication, including communications in electronic storage."       
Paul Merrell

News from The Associated Press - 0 views

  • (AP) -- Federal regulators are urging consumers to go through their phone bills line by line after they accused T-Mobile US of wrongly charging customers for premium services, like horoscope texts and quirky ringtones, the customers never authorized. The Federal Trade Commission announced Tuesday that it is suing T-Mobile in a federal court in Seattle with the goal of making sure every unfairly charged customer sees a full refund. The lawsuit, the first of its kind against a mobile provider, is the result of months of stalled negotiations with T-Mobile, which says it is already offering refunds. "It's wrong for a company like T-Mobile to profit from scams against its customers when there were clear warning signs the charges it was imposing were fraudulent," FTC Chair Edith Ramirez in a statement.
  • The practice is called "cramming": A third party stuffs a customer's bill with bogus charges such as $10-per-month horoscopes or updates on celebrity gossip. In this case, the FTC said, T-Mobile was working with third-party vendors being investigated by regulators and known to be the subject of numerous customer complaints. T-Mobile then made it difficult for customers to notice the added charge to their bill and pocketed up to 40 percent of the total, according to the FTC.
  • The FTC told reporters in a conference call Tuesday that it had been in negotiations with T-Mobile for months in an attempt to guarantee refunds would be provided to customers but that the two sides couldn't reach an agreement. T-Mobile appears to have been laying the groundwork to head off the federal complaint. Last November, the company announced that it would no longer allow premium text services because they were waning in popularity and not all vendors had acted responsibly. In June, it announced it would reach out to consumers to provide refunds. But the FTC says that in many cases, the refunds are only partial and T-Mobile often refers customer complaints to the third-party vendors.
yelpeliterevie22

10 Best Sites to Buy Trustpilot Reviews (Verified) - 0 views

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    You should buy yelp reviews. Because, In case of any online business people first check the feedback of other about the business. If they find a lot of positive feedback, they may want to get attached with your business which will be profitable for you. Positive Yelp Reviews surely bring your business on high-ranking position. Yelp is a significant way to increase marketing strategy of your business.
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