Google’s New Public NTP Servers Provide Smeared Time

Google says it has built support for the leap second into the time servers that regulate all Google services. An anonymous reader shares a blogpost by Google:No commonly used operating system is able to handle a minute with 61 seconds, and trying to sp…

Google says it has built support for the leap second into the time servers that regulate all Google services. An anonymous reader shares a blogpost by Google:No commonly used operating system is able to handle a minute with 61 seconds, and trying to special-case the leap second has caused many problems in the past. Instead of adding a single extra second to the end of the day, we’ll run the clocks 0.0014% slower across the ten hours before and ten hours after the leap second, and “smear” the extra second across these twenty hours. For timekeeping purposes, December 31 will seem like any other day. All Google services, including all APIs, will be synchronized on smeared time, as described above. You’ll also get smeared time for virtual machines on Compute Engine if you follow our recommended settings. You can use non-Google NTP servers if you don’t want your instances to use the leap smear, but don’t mix smearing and non-smearing time servers.

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Google Successfully Uses Machine Learning To Detect Diabetic Retinopathy

BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google…

BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google has been trying to use machine learning to detect diabetic retinopathy. Guess what? The search giant has seen much success. Not only are the computers able to detect the disease at the same level as ophthalmologists, but Google is actually slightly better! “A few years ago, a Google research team began studying whether machine learning could be used to screen for diabetic retinopathy (DR). Today, in the Journal of the American Medical Association, we’ve published our results: a deep learning algorithm capable of interpreting signs of DR in retinal photographs, potentially helping doctors screen more patients, especially in underserved communities with limited resources,” says Lily Peng, MD Ph.D., Product Manger at Google. She goes on to say “our algorithm performs on par with the ophthalmologists, achieving both high sensitivity and specificity. […] For example, on the validation set described in Figure 2, the algorithm has a F-score of 0.95, which is slightly better than the median. F-score of the 8 ophthalmologists we consulted (measured at 0.91).”

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Google Successfully Uses Machine Learning To Detect Diabetic Retinopathy

BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google…

BrianFagioli writes from a report via BetaNews: Diabetic eye disease is caused by retinopathy. Affected diabetics can have small tears inside the eye, causing bleeding. Over time, they can lose vision, and ultimately, they can go blind. Luckily, Google has been trying to use machine learning to detect diabetic retinopathy. Guess what? The search giant has seen much success. Not only are the computers able to detect the disease at the same level as ophthalmologists, but Google is actually slightly better! “A few years ago, a Google research team began studying whether machine learning could be used to screen for diabetic retinopathy (DR). Today, in the Journal of the American Medical Association, we’ve published our results: a deep learning algorithm capable of interpreting signs of DR in retinal photographs, potentially helping doctors screen more patients, especially in underserved communities with limited resources,” says Lily Peng, MD Ph.D., Product Manger at Google. She goes on to say “our algorithm performs on par with the ophthalmologists, achieving both high sensitivity and specificity. […] For example, on the validation set described in Figure 2, the algorithm has a F-score of 0.95, which is slightly better than the median. F-score of the 8 ophthalmologists we consulted (measured at 0.91).”

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Morgan Stanley: Pixel Phone Will Generate Google Almost $4 Billion In Revenue Next Year

An anonymous reader quotes a report from 9to5Google: With initial Pixel pre-orders exceeding expectations and promising activation numbers from Verizon, Google is on track to sell three million phones with revenues of $2 billion in 2016. The Morgan Sta…

An anonymous reader quotes a report from 9to5Google: With initial Pixel pre-orders exceeding expectations and promising activation numbers from Verizon, Google is on track to sell three million phones with revenues of $2 billion in 2016. The Morgan Stanley estimate comes as the Pixel reportedly captured 10% of the premium smartphone market in India. Unsurprisingly, the 128GB Pixel XL has the largest gross profit margin at 25%, while the cheapest 32GB Pixel is at 22%. Morgan Stanley also estimates that, compared to the iPhone, the Pixel will be half as profitable. Morgan Stanley expects Google to sell 5-6 million Pixel and Pixel XL devices in 2017 to the tune of $3.8 billion in revenue. Google is also expected to make money from increased usage of services like Android Pay and mobile search. Google’s big gains were possibly due in part to Samsung’s Note 7 debacle, with the company’s marketshare falling to 23%. Apple captured the number one position at 66%. Additionally, Google benefitted from running a number of promotions, including cashback and exchange programs. The company also heavily advertised in newspapers, with billboards, and for the first time displays in large retail stores.

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Google Asked to Remove a Billion ‘Pirate’ Search Results in a Year

Copyright holders asked Google to remove more than 1,000,000,000 allegedly infringing links from its search engine over the past twelve months, TorrentFreak reports. According to stats provided in Google’s Transparency Report for the past one year, Goo…

Copyright holders asked Google to remove more than 1,000,000,000 allegedly infringing links from its search engine over the past twelve months, TorrentFreak reports. According to stats provided in Google’s Transparency Report for the past one year, Google was asked to remove over one billion links — or 1,007,741,143 links. From the article: More than 90 percent of the links, 908,237,861 were in fact removed. The rest of the reported links were rejected because they were invalid, not infringing, or duplicates of earlier requests. In total, Google has now processed just over two billion allegedly infringing URLs from 945,000 different domains. That the second billion took only a year, compared to several years for the first, shows how rapidly the volume of takedown requests is expanding. At the current rate, another billion will be added by the end of next summer. Most requests, over 50 million, were sent in for the website 4shared.com. However, according to the site’s operators many of the reported URLs point to the same files, inflating the actual volume of infringing content.

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Online Pranksters Mock Trump’s $149 Christmas Ornament, Rename Trump Tower on Google Maps

An anonymous reader quotes a Digital Trends story about a suspicious malfunction on Google Maps:
At some point yesterday, Donald Trump’s Fifth Avenue home was given a rather unceremonious rechristening, and a search for “Trump Tower” revealed a pin for…

An anonymous reader quotes a Digital Trends story about a suspicious malfunction on Google Maps:
At some point yesterday, Donald Trump’s Fifth Avenue home was given a rather unceremonious rechristening, and a search for “Trump Tower” revealed a pin for “Dump Tower” instead. It was rather tricky to find for some, and required zooming in on the building itself at just the right angle (which is perhaps how the culprit got away with the stunt in the first place). At a separate angle, someone else (or perhaps the same person) transliterated the skyscraper’s name in Russian Cyrillic, perhaps meant to be a jab at Trump’s alleged ties to President Vladimir Putin and company… While the team [at Google Maps] managed to put out this first fire, another quickly arose to take its place (as is often the case on the internet), and later in the day on Saturday, Trump International Hotel and Tower in Columbus Circle was renamed Dump International Hotel and Tower.

Meanwhile, another anonymous reader writes:
Earlier this week Donald Trump emailed his supporters selling a $149 collectible “Make America Great Again” Christmas ornament finished with 14k gold, to raise money for both his campaign and the Republican party. But Yahoo News reports that it’s now getting some suspicious negative (and politically-charged) reviews on its page on Amazon. (“One Star. “It tried to put my nativity figures into an internment camp.”) And another reviewer even wrote a satirical story about how their family decided on the ornament for the tree. “During our family meeting we overwhelmingly chose the other ornament but somehow we still ended up with this one. We’re not sure what happened.”

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Online Pranksters Mock Trump’s $149 Christmas Ornament, Rename Trump Tower on Google Maps

An anonymous reader quotes a Digital Trends story about a suspicious malfunction on Google Maps:
At some point yesterday, Donald Trump’s Fifth Avenue home was given a rather unceremonious rechristening, and a search for “Trump Tower” revealed a pin for…

An anonymous reader quotes a Digital Trends story about a suspicious malfunction on Google Maps:
At some point yesterday, Donald Trump’s Fifth Avenue home was given a rather unceremonious rechristening, and a search for “Trump Tower” revealed a pin for “Dump Tower” instead. It was rather tricky to find for some, and required zooming in on the building itself at just the right angle (which is perhaps how the culprit got away with the stunt in the first place). At a separate angle, someone else (or perhaps the same person) transliterated the skyscraper’s name in Russian Cyrillic, perhaps meant to be a jab at Trump’s alleged ties to President Vladimir Putin and company… While the team [at Google Maps] managed to put out this first fire, another quickly arose to take its place (as is often the case on the internet), and later in the day on Saturday, Trump International Hotel and Tower in Columbus Circle was renamed Dump International Hotel and Tower.

Meanwhile, another anonymous reader writes:
Earlier this week Donald Trump emailed his supporters selling a $149 collectible “Make America Great Again” Christmas ornament finished with 14k gold, to raise money for both his campaign and the Republican party. But Yahoo News reports that it’s now getting some suspicious negative (and politically-charged) reviews on its page on Amazon. (“One Star. “It tried to put my nativity figures into an internment camp.”) And another reviewer even wrote a satirical story about how their family decided on the ornament for the tree. “During our family meeting we overwhelmingly chose the other ornament but somehow we still ended up with this one. We’re not sure what happened.”

Read more of this story at Slashdot.

Google’s DeepMind Made an AI Watch Close To 5000 Videos So That It Surpasses Humans in Lip-Reading

A new AI tool created by Google and Oxford University researchers could significantly improve the success of lip-reading and understanding for the hearing impaired. In a recently released paper on the work, the pair explained how the Google DeepMind-po…

A new AI tool created by Google and Oxford University researchers could significantly improve the success of lip-reading and understanding for the hearing impaired. In a recently released paper on the work, the pair explained how the Google DeepMind-powered system was able to correctly interpret more words than a trained human expert. From a report: To accomplish the task, a cohort of scientists fed thousands of hours of TV footage — 5000 to be precise — from the BBC to a neural network. It was made to watch six different TV shows, which aired between the period of January 2010 and December 2015. This included 118,000 difference sentences and some 17,500 unique words. To understand the progress, it successfully deciphered words with a 46.8 percent accuracy. The neural network had to recognize the same based on mouth movement analysis. The under 50 percent accuracy might seem laughable to you but let me put things in perspective for you. When the same set of TV shows were shown to a professional lip-reader, they were able to decipher only 12.4 percent of words without error. Thus, one can understand the great difference in the capability of the AI as compared to a human expert in that particular field.

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Google Sends State-Sponsored Hack Warnings To Journalists and Professors

An anonymous reader shares an IBTimes report: Numerous journalists and professors are taking to social media to report that they have received an alarming message regarding state-sponsored hacking when accessing their Gmail or other sites that use thei…

An anonymous reader shares an IBTimes report: Numerous journalists and professors are taking to social media to report that they have received an alarming message regarding state-sponsored hacking when accessing their Gmail or other sites that use their Google account. Journalists who received the warning include Nobel Prize-winning economist and New York Times columnist Paul Krugman, New York magazine’s Jonathan Chait, Politico’s Julia Ioffe, GQ’s special correspondent Keith Olbermann, Vox’s Ezra Klein, Yahoo News’ Garance Franke-Ruta, and one of President Barack Obama’s former speechwriters, Jon Lovett. The warning says, “Google may have detected government-backed attackers trying to steal your password.” These warnings are being sent by Google since 2012 but Twitter has erupted with a flurry of people in the media and academic community receiving this in the past 24 hours.

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Google Will Tell You How Crowded Places Are In Real Time

Google is updating their “Popular Times” feature in Search and Maps with real-time data that will be able to tell you how busy a place is in real time. PC Magazine reports: “Just in time for the Black Friday swarms, we’re adding a real-time look at how…

Google is updating their “Popular Times” feature in Search and Maps with real-time data that will be able to tell you how busy a place is in real time. PC Magazine reports: “Just in time for the Black Friday swarms, we’re adding a real-time look at how crowded a place is right now, to help you decide where and when to go,” Google Product Manager Jamie Aspinall wrote in a blog post. “Whether you’re rushing to pick up a last-minute gift or seeking a lively bar for some festive spirit, check Popular Times for a sneak preview of what to expect when you arrive.” If you’re one of those people who always needs a plan, you’re going to love the next new feature. You can now see how long people typically stay at a given location, so you can “plan your itinerary to the minute.” “After all, you want to be sure you leave enough time to enjoy a cup of hot chocolate at your local sweets shop before heading to your dinner reservations,” Aspinall pointed out. In addition, Google will be able to deliver more accurate business hours for your favorite establishments. “You’ll know what time to pop by the pharmacy…, when food delivery begins at a nearby restaurant…, and what the service hours are at the auto dealership,” Aspinall wrote.

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