itwbennett writes: According to a new Google report, the search giant disabled more than 780 million "bad ads," including include ads for counterfeit products, misleading or unapproved pharmaceuticals, weight loss scams, phishing ploys, unwanted software and "trick-to-click" cons, globally last year. This marks a 49 percent increase over 2014. For perspective, it would take an individual nearly 25 years to look at the 780 million ads Google removed last year for just one second each, according to Google. If the trend continues, Google's team of more than 1,000 staffers dedicated to killing spam will be even busier in 2016, and they could disable more than a billion junky ads.

phantomfive writes: As the Google v. Oracle copyright case drags on, Oracle is claiming that Android has generated $31 billion in revenue for Google, $22 billion of which was profit. Court records also show Google paid Apple $1 billion USD to keep their search bar on the iPhone. A revenue sharing agreement was in place as well. At one point, Apple got 34% of the revenue generated by Google searches on iPhones. Both companies later requested that the information be redacted from the record, but once something is released on the internet, it tends to stay there.

itwbennett writes: A couple of years ago, Facebook revealed it was using Blu-ray disks as a cost-efficient way to archive the billions of images that users uploaded to its service. When Facebook users upload photos, they're often viewed frequently in the first week, so Facebook stores them on solid state drives or spinning hard disks. But as time goes on the images get viewed less and less. At a certain point, Facebook dumps them onto high-capacity Blu ray discs, where they might sit for years without being looked at. Now, Panasonic has said it plans to commercialize the technology for other businesses, and is working on new disks that will hold a terabyte of data.

An anonymous reader writes: Techdirt is running a story about Square One Publishers Rudy Shur, and his confusion over the DMCA process, and exactly what Google has control over. The story goes: "After being contacted by Google Play with an offer to join the team, Shur took it upon himself to fire off an angry email in response. That would have been fine, but he somehow convinced Publisher's Weekly to print both the letter and some additional commentary. Presumably, his position at a publishing house outweighed Publisher Weekly's better judgment, because everything about his email/commentary is not just wrong, but breathtakingly so.

After turning down the offer to join Google Play (Shur's previous participation hadn't really shown it to be an advantageous relationship), Shur decided to play internet detective. Starting with this paragraph, Shur's arguments head downhill then off a cliff then burst into flames then the flaming wreckage slides down another hill and off another cliff. (h/t The Digital Reader) '[W]e did discover, however, was that Google has no problem allowing other e-book websites to illegally offer a number of our e-book titles, either free or at reduced rates, to anyone on the Internet.'

There's a huge difference between "allowing" and "things that happen concurrently with Google's existence." Shur cannot recognize this difference, which is why he's so shocked Google won't immediately fix it. 'When we alerted Google, all we got back was an email telling us that Google has no responsibility and that it is up to us to contact these sites to tell them to stop giving away or selling our titles.'"

An anonymous reader writes: Facebook, Google, and Microsoft are all pursuing AI-powered chatbots — an intersection between several popular technologies: personal assistant software, search engines, machine learning, and social tools. Right now, while they're still building these chatbots, developers are cheating a bit. Facebook is using real humans to answer questions the AI can't. Google answers tough questions from a database populated with movie dialog. Microsoft scans social media to find the most popular answer, and offers that to inquisitive users. But software becoming conversational comes with hazards: "Because human beings are complex creatures plagued by cognitive biases, irrational thinking and emotional needs, the line between messaging with a friend and messaging with AI will be fine to nonexistent for some people." It sounds like an Asimov-era sci-fi trope, but it's already happening in China.

An anonymous reader writes: The Wall Street Journal reports that Google is testing a new mobile messaging service. They say one of the defining new features of the service is the inclusion of AI-driven chatbots, which can answer questions asked of them in a conversational manner. Google veteran Nick Fox is reportedly running the team building the messaging service. It's not clear what will become of Messenger or Hangouts, or when the product will launch. "Google would steer users to specific chatbots, much as its search engine directs users to relevant websites. The move is strategic, because messaging apps and chatbots threaten Google's role as the Internet's premier discovery engine."

jones_supa writes: Canonical introduced Amazon Product Results as part of Ubuntu 12.10, which meant that local searches performed by a user in Dash were also sent online. This made many Ubuntu users spill their coffee and got criticism from EFF and FSF as well. The so called "Shopping Lens" had to be manually disabled if that kind of search behavior was not desired. Finally after years, Canonical is reacting to the negative feedback and respecting users' privacy, so that Ubuntu 16.04 (the next Long Term Support release) won't send local searches over the web by default. The Amazon search feature is still available for those who explicitly want to use it.

itwbennett writes: A scan performed over the past few days by John Matherly, the creator of the Shodan search engine, has found that there are at least 35,000 publicly accessible and insecure MongoDB databases on the Internet, and their number appears to be growing. Combined they expose 684.8 terabytes of data to potential theft. Matherly originally sounded the alarm about this issue back in July, when he found nearly 30,000 unauthenticated MongoDB instances. He decided to revisit the issue after a security researcher named Chris Vickery recently found information exposed in such databases that was associated with 25 million user accounts from various apps and services, including 13 million users of the controversial OS X optimization program MacKeeper, as reported on Slashdot on Wednesday.

An anonymous reader writes: I've been using email since the early '90s and have probably half a million emails in various places and accounts. Some of them are currently in .tar files, others in the original folders from obsolete or I-don't-use-them-anymore mail clients. Some IMAP, some POP3. You get the picture. I don't often need to access emails older than a year or two, but when I do, I have found that my only hope for the truly archived ones is to guess what Grep combo might find the right text in the file ... and then pick through the often unformatted, unwrapped, super ugly text until I find the email address or info that I'm searching for. Because of this, I tend to at-all-costs leave emails on servers or at least in the clients so that I can more easily search and find.

My question is whether there's any way to safely store them in a way that I can actually use them later, offline, in a way that allows for easy date searches, email address searches, and so on. Thunderbird for example has 'Archive' as an option, but if I migrate to a different client I assume that won't work anymore. So what ways to people archive emails effectively? Or is this totally a lost cause and I should keep limping along with grep?

An anonymous reader writes: Yahoo has confirmed reports from last week by saying it plans to spin off all of its assets aside from its $31 billion stake in Chinese e-commerce company Alibaba. "In the reverse spin off, Yahoo's assets and liabilities other than the Alibaba stake would be transferred to a newly formed company, the stock of which would be distributed pro rata to Yahoo shareholders resulting in two separate publicly-traded companies." Their decision was spurred by how stock market traders were weighing the tax risk of spinning off the most valuable part of the company.

The article notes that this probably means trouble for CEO Marissa Mayer: "Ms. Mayer, who was hired in 2012 to turn around Yahoo, had planned to spin off the company's 15 percent stake in Alibaba, bundled with a small-business services unit, into a new company called Aabaco. She then planned to focus on improving the company's core business, the sale of advertising that is shown to the roughly one billion users of Yahoo's apps and websites. Ms. Mayer is now effectively back to square one. Yahoo's core Internet operations are struggling, even though the chief executive has made dozens of acquisitions, added original video and magazine-style content, and released new apps."

szczys writes: Artificial Intelligence is always just around the corner, right? We often see reports that promise near breakthroughs, but time and again they don't come to fruition. The cause of this may be that we're trying to solve the wrong problem. Will Sweatman took a look at the history of AI projects starting with the code-breaking machines of WWII and moving up to modern efforts like IBM's Watson and Google's Inceptionism. His conclusion is that we haven't actually been trying to solve "intelligence" (or at least our concept of intelligence has been wrong). And that with faster computing and larger pools of data the goal has moved toward faster searches rather than true intelligence.

An anonymous reader writes: Various sources report Israel's Deputy Minister for Foreign Affairs Tzipi Hotovely meeting with representatives of Google and YouTube to discuss censoring Palestinian videos believed to incite violence. Original aricle (in Hebrew) from Maariv The open question is how Google and Youtube will define "inciting violence." Currently, all foreign journalists in the Palestinian territories are required to register with the Israeli military, and all footage must be approved through the Israeli Military Censor's office before being released. However, according to the article in alternet individual Palestinians have been uploading videos showing violence by Israeli soldiers, including execution-style killings, and highlighting the living conditions in the territories, which Israeli authorities consider inflammatory.

TechCrunch, InformationWeek, PC World, and other sources report that Microsoft's voice-recognition based personal assistant app Cortana is coming to iOS for a small group of beta testers. From TechCrunch: According to the description that accompanies the test build of Cortana for iOS, Microsoft explains how the assistant can help Windows users with iPhones connect the two platforms. For example, Microsoft suggests how you can set reminders on your PC – like a reminder to pick up milk on the way home – then be notified via your iPhone when you’re on the road. ... Testers report that the beta build is being distributed by Apple’s TestFlight. As one blogger and earlier tester points out that could mean only a small number of testers will be brought on initially, given TestFlight’s limitation of 2,000 testers per application. That may also explain why a good many who signed up for Cortana’s beta are saying that have still yet to receive their invite at this time. (A staged rollout is another possibility.)

An anonymous reader writes: According to a Google report the company has evaluated 1,234,092 URLs from 348,085 requests since the EU's May 2014 "right to be forgotten" ruling, and has removed 42% of those URLs. Engadget reports: "To show how it comes to its decisions, the company shared some of the requests it received and its decisions. For example: a private citizen that was convicted of a serious crime, but had that conviction overturned during appeal, had search results about the crime removed. Meanwhile a high ranking public official in Hungary failed to get the results squelched of a decades-old criminal conviction. Of course, that doesn't mean the system is perfect and the company has already been accused of making mistakes."

smaxp writes: Google has announced the open source release of TensorFlow, its machine learning software library. "TensorFlow has extensive built-in support for deep learning, but is far more general than that -- any computation that you can express as a computational flow graph, you can compute with TensorFlow (see some examples). Any gradient-based machine learning algorithm will benefit from TensorFlow’s auto-differentiation and suite of first-rate optimizers. And it’s easy to express your new ideas in TensorFlow via the flexible Python interface." This comes alongside some dramatic speed increases (PDF). The code is available at GitHub under an Apache 2.0 license. "Deep learning, machine learning, and artificial intelligence are all some of Google's core competencies, where the company leads Apple and Microsoft. If successful, Google's strategy is to maintain this lead by putting its technology out in the open to improve it based on large-scale adoption and code contributions from the community at large.

AmiMoJo writes: A tweet from Tom Conrad has highlighted an issue with Apple's Siri digital assistant. When asked certain questions about music, Siri refuses to answer unless you subscribe to Apple Music. Instead of falling back to a web search for the information, Siri tells the user that it cannot respond due to the lack of a subscription. Apple Music has been the source of music related data for Siri since it launched, but until now did not require a subscription to answer questions.

PC World reports that even as Microsoft is pushing voice input on the desktop (in the form of an expanded role for its Cortana digital assistant), Google is responding to user (dis)interest in searching by voice from the desktop, by dropping "OK Google"-based voice commands in the latest iteration of Chrome. This seems too bad to me, so I wish they'd at least leave the voice input as an option; I've only lately been getting comfortable with search by voice on my phone, and though I've found the results to be hit or miss (my phone responds a bit too often to "OK," and seems to stumble even on some common words, spoken clearly), when it works I really like it.

An anonymous reader writes: Google's new advertising product, called Customer Match, lets advertisers upload their customer and promotional email address lists into AdWords. The new targeting capability extends beyond search to include both YouTube Trueview ads and the newly launched native ads in Gmail. Customer Match marks the first time Google has allowed advertisers to target ads against customer-owned data in Adwords. Google matches the email addresses against those of signed-in users on Google. Individual addresses are hashed and are supposedly anonymized. Advertisers will be able to set bids and create ads specifically geared to audiences built from their email lists. This new functionality seems to make de-anonymization of google's supposedly proprietary customer data just a hop, skip and jump away. If you can specify the list of addresses that get served an ad, and the criteria like what search terms will trigger that ad, you can detect if and when your target searches for specific terms. For example, create an email list that contains your target and 100 invalid email addresses that no one uses (just in case google gets wise to single-entry email lists). Repeat as necessary for as many keywords and as many email addresses that you wish to monitor.

An anonymous reader writes: When personal information ends up in the analytical whirlpool of big data, it almost inevitably becomes orphaned from any permissions framework that the discloser granted for its original use; machine learning systems, commercial and otherwise, end up deriving properties and models from the data until the replication, duplication and derivation of that data can never hoped to be controlled or 'called back' by the originator. But researchers now propose a revision which can be imposed upon existing machine-learning frameworks, interposing a 'summation' layer between user data and the learning system, effectively tokenising the information without anonymising it, and providing an auditable path whereby withdrawal of the user information would ripple through all iterations of systems which have utilized it — genuine 'cancellation' of data.

techtsp writes: Marcia J. Bates, UCLA Professor Emerita of Information Studies recently explained why Google's birth led to the downfall of AltaVista. According to Bates, early search engines including AltaVista adapted the classical IR methods. At the other hand, Google founders started off with a completely different approach in mind. Google successfully recognized the potential of URLs, which could be added to the algorithms for the sake of information indexing altogether. Google's modern age techniques were a huge boost to those older techniques. Whatever other business and company management issues AltaVista faced, it was the last of the old style information retrieval engines.