Group items matching

in title, tags, annotations or url

Google cuts Huawei off Android; so Huawei may migrate to Aurora. Call it mobile Eurasia integration; the evolving Russia-China strategic partnership may be on the verge of spawning its own operating system – and that is not a metaphor. Aurora is a mobile operating system currently developed by Russian Open Mobile Platform, based in Moscow. It is based on the Sailfish operating system, designed by Finnish technology company Jolla, which featured a batch of Russians in the development team. Quite a few top coders at Google and Apple also come from the former USSR – exponents of a brilliant scientific academy tradition.

No Google? Who cares? Tencent, Xiaomi, Vivo and Oppo are already testing the HongMeng operating system, as part of a batch of one million devices already distributed. HongMeng’s launch is still a closely guarded secret by Huawei, but according to CEO Richard Yu, it could happen even before the end of 2019 for the Chinese market, running on smartphones, computers, TVs and cars. HongMeng is rumored to be 60% faster than Android.

Aurora could be regarded as part of Huawei’s fast-evolving Plan B. Huawei is now turbo-charging the development and implementation of its own operating system, HongMeng, a process that started no less than seven years ago. Most of the work on an operating system is writing drivers and APIs (application programming interfaces). Huawei would be able to integrate their code to the Russian system in no time.

The digital privacy world was rocked late Thursday evening when The New York Times reported on Securus, a prison telecom company that has a service enabling law enforcement officers to locate most American cell phones within seconds. The company does this via a basic Web interface leveraging a location API—creating a way to effectively access a massive real-time database of cell-site records. Securus’ location ability relies on other data brokers and location aggregators that obtain that information directly from mobile providers, usually for the purposes of providing some commercial service like an opt-in product discount triggered by being near a certain location. ("You’re near a Carl’s Jr.! Stop in now for a free order of fries with purchase!") The Texas-based Securus reportedly gets its data from 3CInteractive, which in turn buys data from LocationSmart. Ars reached 3CInteractive's general counsel, Scott Elk, who referred us to a spokesperson. The spokesperson did not immediately respond to our query. But currently, anyone can get a sense of the power of a location API by trying out a demo from LocationSmart itself. Currently, the Supreme Court is set to rule on the case of Carpenter v. United States, which asks whether police can obtain more than 120 days' worth of cell-site location information of a criminal suspect without a warrant. In that case, as is common in many investigations, law enforcement presented a cell provider with a court order to obtain such historical data. But the ability to obtain real-time location data that Securus reportedly offers skips that entire process, and it's potentially far more invasive. Securus’ location service as used by law enforcement is also currently being scrutinized. The service is at the heart of an ongoing federal prosecution of a former Missouri sheriff’s deputy who allegedly used it at least 11 times against a judge and other law enforcement officers. On Friday, Sen. Ron Wyden (D-Ore.) publicly released his formal letters to AT&T and also to the Federal Communications Commission demanding detailed answers regarding these Securus revelations.

Today we are releasing the implementation guide for EFF’s Do Not Track (DNT) policy. For years users have been able to set a Do Not Track signal in their browser, but there has been little guidance for websites as to how to honor that request. EFF’s DNT policy sets out a meaningful response for servers to follow, and this guide provides details about how to apply it in practice. At its core, DNT protects user privacy by excluding the use of unique identifiers for cross-site tracking, and by limiting the retention period of log data to ten days. This short retention period gives sites the time they need for debugging and security purposes, and to generate aggregate statistical data. From this baseline, the policy then allows exceptions when the user's interactions with the site—e.g., to post comments, make a purchase, or click on an ad—necessitates collecting more information. The site is then free to retain any data necessary to complete the transaction. We believe this approach balances users’ privacy expectations with the ability of websites to deliver the functionality users want. Websites often integrate third-party content and rely on third-party services (like content delivery networks or analytics), and this creates the potential for user data to be leaked despite the best intentions of the site operator. The guide identifies potential pitfalls and catalogs providers of compliant services. It is common, for example, to embed media from platforms like You Tube, Sound Cloud, and Twitter, all of which track users whenever their widgets are loaded. Fortunately, Embedly, which offers control over the appearance of embeds, also supports DNT via its API, displaying a poster instead and loading the widget only if the user clicks on it knowingly.

Knowledge makes the difference between willing tracking and non-consensual tracking. Users should be able to choose whether they want to give up their privacy in exchange for using a site or a  particular feature. This means sites need to be transparent about their practices. A great example of this is our biggest adopter, Medium, which does not track DNT users who browse the site and gives clear information about tracking to users when they choose to log in. This is their previous log-in panel, the DNT language is currently being added to their new interface.

10 years ago, everybody was on MySpace. 10 years from now, the Twitters and Facebooks and YouTubes of today will be dinosaurs, abandoned by users sick of censorship and centralized control. Thankfully, the alternatives to these social media dinosaurs are already here, and they’re blockchain-based, torrent friendly, decentralized and censorship resistant.

SHOW NOTES Leaked Twitter API data shows the number of tweets is in serious decline Yep, science confirms that quitting Facebook makes people happier Facebook ‘made China censorship tool’ Facebook is censoring posts in Thailand that the government has deemed unsuitable The Corbett Report on Steemit The Corbett Report on Minds.com The Corbett Report on BitChute Ray Vahey on Twitter

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

The initial data and standard error responses could be in header fixtures, which could be replaced later if so desired. "The HTML body thus becomes a templating language with all the content residing in the fixtures that can be dynamically reloaded without JavaScript."

YouTube seems not to care a jot that its actions are inimical to Adobe, saying it's just doing what all the cool kids – Netflix, Apple, Microsoft and its competitor Vimeo – have already done. Which is not to say that Flash is dead: those who don't run the browsers above will still get YouTube delivered by whatever technology works bes tin their environment. And that will often – perhaps too often* – be Flash. ® Bootnote * Until they get p0wned, that is: Flash is so horridly buggy that Apple has just updated its plugin-blockers to foil versions of the product prior to 16.0.0.296 and 13.0.0.264.

Box for Industries is comprised of three parts: A Box-tailored core service offering, a selection of partner apps, and the implementation services to combine the two of those into something that ideally can be used by any enterprise in any vertical. 

On OpenCongress, you can now email your representatives and senators just as easily as you would a friend or colleague. We've added a new feature to OpenCongress. It's not flashy. It doesn't use D3 or integrate with social media. But we still think it's pretty cool. You might've already heard of it. Email. This may not sound like a big deal, but it's been a long time coming. A lot of people are surprised to learn that Congress doesn't have publicly available email addresses. It's the number one feature request that we hear from users of our APIs. Until recently, we didn't have a good response. That's because members of Congress typically put their feedback mechanisms behind captchas and zip code requirements. Sometimes these forms break; sometimes their requirements improperly lock out actual constituents. And they always make it harder to email your congressional delegation than it should be.

This is a real problem. According to the Congressional Management Foundation, 88% of Capitol Hill staffers agree that electronic messages from constituents influence their bosses' decisions. We think that it's inappropriate to erect technical barriers around such an essential democratic mechanism. Congress itself is addressing the problem. That effort has just entered its second decade, and people are feeling optimistic that a launch to a closed set of partners might be coming soon. But we weren't content to wait. So when the Electronic Frontier Foundation (EFF) approached us about this problem, we were excited to really make some progress. Building on groundwork first done by the Participatory Politics Foundation and more recent work within Sunlight, a network of 150 volunteers collected the data we needed from congressional websites in just two days. That information is now on Github, available to all who want to build the next generation of constituent communication tools. The EFF is already working on some exciting things to that end.

But we just wanted to be able to email our representatives like normal people. So now, if you visit a legislator's page on OpenCongress, you'll see an email address in the right-hand sidebar that looks like Sen.Reid@opencongress.org or Rep.Boehner@opencongress.org. You can also email myreps@opencongress.org to email both of your senators and your House representatives at once. The first time we get an email from you, we'll send one back asking for some additional details. This is necessary because our code submits your message by navigating those aforementioned congressional webforms, and we don't want to enter incorrect information. But for emails after the first one, all you'll have to do is click a link that says, "Yes, I meant to send that email."

About Transparency Toolkit We need information about governments, companies, and other institutions to uncover corruption, human rights abuses, and civil liberties violations. Unfortunately, the information provided by most transparency initiatives today is difficult to understand and incomplete. Transparency Toolkit is an open source web application where journalists, activists, or anyone can chain together tools to rapidly collect, combine, visualize, and analyze documents and data. For example, Transparency Toolkit can be used to get data on all of a legislator’s actions in congress (votes, bills sponsored, etc.), get data on the fundraising parties a legislator attends, combine that data, and show it on a timeline to find correlations between actions in congress and parties attended. It could also be used to extract all locations from a document and plot them on a map where each point is linked to where the location was mentioned in the document.

Analysis Platform On the analysis platform, users can add steps to the analysis process. These steps chain together the tools, so someone could scrape data, upload a document, crossreference that with the scraped data, and then visualize the result all in less than a minute with little technical knowledge. Some of the tools allow users to specify input, but when this is not the case the output of the last step is the input of the next. Tools Existing and planned Transparency Toolkit tools include include scrapers and APIs for accessing data, format converters, extraction tools (for dates, names, locations, numbers), tools for crossreferencing and merging data, visualizations (maps, timelines, network graphs, maps), and pattern and trend detecting tools. These tools are designed to work in many cases rather than a single specific situation. The tools can be linked together on Transparency Toolkit, but they are also available individually. Where possible, we build our tools off of existing open source software. Road Map You can see the plans for future development of Transparency Toolkit here.

"Today at the first annual Code Conference, Microsoft demonstrated its new real-time translation in Skype publicly for the first time. Gurdeep Pall, Microsoft's VP of Skype and Lync, compares the technology to Star Trek's Universal Translator. During the demonstration, Pall converses in English with a coworker in Germany who is speaking German. 'Skype Translator results from decades of work by the industry, years of work by our researchers, and now is being developed jointly by the Skype and Microsoft Translator teams. The demo showed near real-time audio translation from English to German and vice versa, combining Skype voice and IM technologies with Microsoft Translator, and neural network-based speech recognition.'"