Today, we’re rolling out the AdWords app on iOS to all AdWords customers globally – you can download it from the App Store. With the AdWords app, many campaign activities can now be managed while you’re on the go from the convenience of your iPhone:
Monitor campaign performance like clicks, CTR and CPC
Update bids and budgets
Act on suggestions that may help improve campaign performance
Get real-time alerts and notifications about your billing and ad status
Call a Google expert
Customers like The Honest Company, MuleSoft, and PMG use the AdWords app to easily manage their campaigns, stay in touch with the needs of their customers, and quickly access important business insights – from anywhere.
“Amidst the hectic holiday festivities, this app saved me from having to leave the dinner table to monitor performance and make quick changes to my accounts. That meant more time with my family. I'm excited for what's to come!” – Josh Franklin, Manager, Search Marketing, The Honest Company
“The app helps me access high level data on the go which can come in handy in the boardroom, or anytime I need to quickly understand how our campaigns are performing. Also, having the ability to make adjustments to our campaigns – such as changing bids and budget – is invaluable.” – Nima Asrar Haghighi, Director, Digital Marketing & Analytics, MuleSoft
“The consumer shift to mobile means our retail clients' campaigns have to be responsive to meet the needs of consumers at all times of the day. The app makes it easy for us to address issues without being chained to our laptops. PMG has been able to deliver prompt account adjustments from campaign to keyword level for our clients, as well as keep our customer satisfaction rates high.” – Kyle Knox, Account Manager, PMG
When Google was a few years old, we wrote up a list of Ten things we know to be true. The list includes items like “Focus on the user and all else will follow” as well as “Fast is better than slow.” It would be tough to say that much of the mobile web has adhered to these principles. Users often get frustrated by poor experiences in which sites load slowly or will lock up trying to load resources that clog their data connections.
Today, the AMP team announced the launch of an analytics component that will enable measurement on AMP pages. The Google Analytics team is committed to helping our users measure their content wherever it appears. So, for publishers looking to use AMP to provide an improved user experience, we’ve released Google Analytics measurement capabilities for Accelerated Mobile Pages. AMP support in Google Analytics makes it easy to identify your best content and optimize your user experience.
How Google Analytics Support Works
How to Get Started
Before you get started with AMP Analytics, you’ll need to get started with AMP itself. The AMP website contains a great introduction to getting started. Once you have an AMP page up, it’s time to start thinking about how you’d like to measure its performance.
We recommend that you use a separate Google Analytics property to measure your AMP pages. AMP is a new technology that’s going to mature over time. As such, some of the functionality that you’re used to in web analytics won’t immediately be available in AMP analytics right away. AMP pages can appear in multiple contexts, including through different syndication caches. Because of that, a single user that visits an AMP version of a page and a HTML version of a page can end up being treated as two distinct users. Using a separate Google Analytics property to measure AMP pages makes it easier to handle these issues.
Multiple technology partners, including Google Search, Twitter, Pinterest, and LinkedIn have announced that they’ll start surfacing AMP pages in the coming months. The Google Analytics team is excited to support AMP from day one and look forward to growing our offering as AMP’s capabilities expand.
Posted by Dan Cary, Product Manager and Avi Mehta, Software Engineer
Did you know that there are more mobile devices than people? In 2014, there were 7.4BN* devices and an estimated 7.2 billion people. Mobile is quickly becoming the most popular way to get online, even exceeding the time spent on desktop computers.** This has contributed greatly to the growth of the app ecosystem, with consumers spending on average 37 hours a month*** on mobile apps. As apps are becoming more prominent in our everyday lives, it’s more important now than ever to learn app development.
That’s why we’re launching the second AdMob Student App Challenge, an app building competition open to students around the world. If you’re a student who loves to code or has a great idea for a mobile app, this is your chance to build an app, learn how to make money from it, and win awesome prizes. The prizes will include a week-long trip to San Francisco and a visit to the Googleplex.
To win the challenge, you’ll need to build a great app (either Android or iOS) and create a sound business plan that shows how you managed the project, gained users, and leveraged AdMob to make money. The contest will be judged by a panel of app industry leaders. To learn more the judges, visit here.
The winning team will receive:
An all expenses paid, week-long trip to San Francisco, including a visit to the Googleplex in Mountain View, CA
A featured spot on the Google Play Store
A promotional video starring you and your app
A healthy amount of Google schwag, including a new Google device
Last year’s global winner was Phani Gaddipati, who created Stacks Flashcards, an app that lets people create electronic flashcards on any subject, quiz themselves and analyze their performance. Check out his video to learn more.
In addition to one overall winner, the finalist from each of the four global regions (North America, Latin America, Europe Middle East & Africa, and Asia Pacific) will receive Google devices and see their app featured on the AdMob website.
The challenge starts today, and you’ll have until June 28, 2016 to build your winning app. Be sure to visit the AdMob website to learn more and register. Follow us on AdMob G+ and Twitter and keep an update on #AdMobSAC16 too, for regular updates on the challenge. .
Best of luck -- we can’t wait to see what you build!
Posted by Henry Wang
Product Marketing, AdMob
*Cisco, Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update 2014–2019 White Paper, February 2015 **eMarketer, US Time Spent with Media, October 2014 ***Nielsen, Smartphones: So Many Apps, So Much Time, July 2014
We launched our Vulnerability Reward Program in 2010 because rewarding security researchers for their hard work benefits everyone. These financial rewards help make our services, and the web as a whole, safer and more secure.
With an open approach, we’re able to consider a broad diversity of expertise for individual issues. We can also offer incentives for external researchers to work on challenging, time-consuming, projects that otherwise may not receive proper attention.
Last January, we summarized these efforts in our first ever Security Reward Program ‘Year in Review’. Now, at the beginning of another new year, we wanted to look back at 2015 and again show our appreciation for researchers’ important contributions.
2015 at a Glance
Once again, researchers from around the world—Great Britain, Poland, Germany, Romania, Israel, Brazil, United States, China, Russia, India to name a few countries—participated our program.
Here's an overview of the rewards they received and broader milestones for the program, as a whole.
Android Joins Security Rewards
Android was a newcomer to the Security Reward program initiative in 2015 and it made a significant and immediate impact as soon as it joined the program.
We launched our Android VRP in June, and by the end of 2015, we had paid more than $200,000 to researchers for their work, including our largest single payment of $37,500 to an Android security researcher.
New Vulnerability Research Grants Pay Off
Last year, we began to provide researchers with Vulnerability Research Grants, lump sums of money that researchers receive before starting their investigations. The purpose of these grants is to ensure that researchers are rewarded for their hard work, even if they don’t find a vulnerability.
We’ve already seen positive results from this program; here’s one example. Kamil Histamullin a researcher from Kasan, Russia received a VRP grant early last year. Shortly thereafter, he found an issue in YouTube Creator Studio which would have enabled anyone to delete any video from YouTube by simply changing a parameter from the URL. After the issue was reported, our teams quickly fixed it and the researcher was was rewarded $5,000 in addition to his initial research grant. Kamil detailed his findings on his personal blog in March.
Established Programs Continue to Grow
We continued to see important security research in our established programs in 2015. Here are just a few examples:
Tomasz Bojarski found 70 bugs on Google in 2015, and was our most prolific researcher of the year. He found a bug in our vulnerability submission form.
You may have read about Sanmay Ved, a researcher from who was able to buy google.com for one minute on Google Domains. Our initial financial reward to Sanmay—$ 6,006.13—spelled-out Google, numerically (squint a little and you’ll see it!). We then doubled this amount when Sanmay donated his reward to charity.
We also injected some new energy into these existing research programs and grants. In December, we announced that we'd be dedicating one million dollars specifically for security research related to Google Drive.
We’re looking forward to continuing the Security Reward Program’s growth in 2016. Stay tuned for more exciting reward program changes throughout the year.
Updated versions of the Google Docs, Sheets, and Slides Android apps are now available on Google Play. These versions include the following new features:
Import and export additional file formats in Google Docs, Sheets, and Slides - As long as you’re online, you can now import and export the following file formats in and from the Docs, Sheets, and Slides Android apps:
Import - .txt, .rtf, and .html (in Docs)
Export - .docx, .rtf, .pdf, .txt., and .html (from Docs), .xlsx, .pdf, .html, .csv, and .tsv (from Sheets), and .pptx, .pdf, and .txt (from Slides)
Open CSV and TSV files in Google Sheets - In the latest version of the Android app for Sheets, you can open, view, and edit spreadsheets that are formatted as .csv or .tsv files.
Read from right to left in Google Sheets - If you use a right-to-left language (e.g. Hebrew) in Sheets, you’ll now see an option in the Android app to format your spreadsheet in that same direction. Once enabled, your columns will progress from right to left (starting with “A”), and your row numbers will appear on the right-hand side of your screen.
Filter data in Google Sheets - You can now apply new filters to spreadsheets in the Sheets Android app, as well as view and change existing ones. (NOTE: This feature became available in the app’s previous release.)
Check out the Help Center articles below for more information.
Launching to both Rapid release and Scheduled release
Gradual rollout (potentially longer than 3 days for feature visibility)
Work with others, with ease. Today’s launches make it super simple to comment on your colleagues’—and your own—Google Docs, Sheets, and Slides files on the web and mobile. Check out what’s new below:
Instant comments in Google Docs on the web - Highlight text or hover over the edge of a page to surface a small commenting icon, then click on that icon to quickly add a comment to that area of the document.
Instant mentions in Google Docs, Sheets, and Slides on the web, Android, and iOS - Start typing someone’s name or email address in a comment, and a list of suggested contacts will appear. Select anyone from that list to trigger an email notification to them—there’s no need to type “+” or “@” before their name!
Comments in the Google Sheets and Slides apps for Android and iOS - Add new and reply to existing comments in the Sheets* and Slides mobile apps—just like you can in the Docs apps for Android and iOS.
Comment swiping in the Google Docs, Sheets, and Slides apps - Simply swipe to move from one comment to the next in the Docs, Sheets, and Slides iOS apps, as well as the Slides Android app (you can already do this in the Docs and Sheets Android apps!).
Try out these new features in Google Docs, Sheets, and Slides, and collaborate with fewer clicks!
Launch Details Release track: Mobile features - Launching to both Rapid release and Scheduled release
Instant mentions in Google Docs, Sheets, and Slides on Android and iOS
Comments in the Google Sheets and Slides apps for Android and iOS*
Comment swiping in the Google Docs, Sheets, and Slides apps for iOS
Web features - Launching to Rapid release, with Scheduled release coming on February 10th
Instant comments in Google Docs on the web
Instant mentions in Google Docs, Sheets, and Slides on the web
*NOTE: Comments in the Google Sheets Android app launched on November 12th, 2015.
Rollout pace: Full rollout (1–3 days for feature visibility)
When Jim, one of the engineers on the Google Slides team, brought a zucchini chocolate cake into the office last week, we knew we had to get the recipe. So we asked him and his wife, Alison, to let us in on the family secret—just in time for Chocolate Cake Day. They worked together in Slides (mobile commenting across Google Docs just launched today!) to perfect the recipe. Alison writes:
Growing up, my grandma made zucchini chocolate cake often, especially when there was a surplus of zucchinis at the local farmer’s market. The cake is ridiculously moist and pairs well with many different frostings, though cream cheese is my favorite.
Thanks to mobile commenting, Jim and I went back and forth on the recipe—Jim on his Nexus 9, me on my iPhone—until we had it just right: Check out our family recipe in Slides. We call it Straka’s Zucchini Chocolate Cake—in honor of my grandma.
Happy Chocolate Cake Day, from our family to yours.
Posted by Alison Zoll, chemist, baker and wife of Jim Zoll, Slides engineer
The game of Go originated in China more than 2,500 years ago. Confucius wrote about the game, and it is considered one of the four essential arts required of any true Chinese scholar. Played by more than 40 million people worldwide, the rules of the game are simple: Players take turns to place black or white stones on a board, trying to capture the opponent's stones or surround empty space to make points of territory. The game is played primarily through intuition and feel, and because of its beauty, subtlety and intellectual depth it has captured the human imagination for centuries.
But as simple as the rules are, Go is a game of profound complexity. There are 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000 possible positions—that’s more than the number of atoms in the universe, and more than a googol times larger than chess.
This complexity is what makes Go hard for computers to play, and therefore an irresistible challenge to artificial intelligence (AI) researchers, who use games as a testing ground to invent smart, flexible algorithms that can tackle problems, sometimes in ways similar to humans. The first game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952. Then fell checkers in 1994. In 1997 Deep Blue famously beat Garry Kasparov at chess. It’s not limited to board games either—IBM's Watson [PDF] bested two champions at Jeopardy in 2011, and in 2014 our own algorithms learned to play dozens of Atari games just from the raw pixel inputs. But to date, Go has thwarted AI researchers; computers still only play Go as well as amateurs.
Traditional AI methods—which construct a search tree over all possible positions—don’t have a chance in Go. So when we set out to crack Go, we took a different approach. We built a system, AlphaGo, that combines an advanced tree search with deep neural networks. These neural networks take a description of the Go board as an input and process it through 12 different network layers containing millions of neuron-like connections. One neural network, the “policy network,” selects the next move to play. The other neural network, the “value network,” predicts the winner of the game.
We trained the neural networks on 30 million moves from games played by human experts, until it could predict the human move 57 percent of the time (the previous record before AlphaGo was 44 percent). But our goal is to beat the best human players, not just mimic them. To do this, AlphaGo learned to discover new strategies for itself, by playing thousands of games between its neural networks, and adjusting the connections using a trial-and-error process known as reinforcement learning. Of course, all of this requires a huge amount of computing power, so we made extensive use of Google Cloud Platform.
After all that training it was time to put AlphaGo to the test. First, we held a tournament between AlphaGo and the other top programs at the forefront of computer Go. AlphaGo won all but one of its 500 games against these programs. So the next step was to invite the reigning three-time European Go champion Fan Hui—an elite professional player who has devoted his life to Go since the age of 12—to our London office for a challenge match. In a closed-doors match last October, AlphaGo won by 5 games to 0. It was the first time a computer program has ever beaten a professional Go player. You can find out more in our paper, which was published in Nature today.
What’s next? In March, AlphaGo will face its ultimate challenge: a five-game challenge match in Seoul against the legendary Lee Sedol—the top Go player in the world over the past decade.
We are thrilled to have mastered Go and thus achieved one of the grand challenges of AI. However, the most significant aspect of all this for us is that AlphaGo isn’t just an “expert” system built with hand-crafted rules; instead it uses general machine learning techniques to figure out for itself how to win at Go. While games are the perfect platform for developing and testing AI algorithms quickly and efficiently, ultimately we want to apply these techniques to important real-world problems. Because the methods we’ve used are general-purpose, our hope is that one day they could be extended to help us address some of society’s toughest and most pressing problems, from climate modelling to complex disease analysis. We’re excited to see what we can use this technology to tackle next!
Posted by Demis Hassabis, Google DeepMindhttp://3.bp.blogspot.com/-UM6zXm-cXW4/VqkFrP32nlI/AAAAAAAARzw/HmxeOsYvvqk/s1600/Go-game_hero.jpgDemis HassabisGoogle DeepMind
Posted by David Silver and Demis Hassabis, Google DeepMind
Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history - the first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952 as a PhD candidate’s project. Then fell checkers in 1994. Chess was tackled by Deep Blue in 1997. The success isn’t limited to board games, either - IBM's Watson won first place on Jeopardy in 2011, and in 2014 our own algorithms learned to play dozens of Atari games just from the raw pixel inputs.
But one game has thwarted A.I. research thus far: the ancient game of Go. Invented in China over 2500 years ago, Go is played by more than 40 million people worldwide. The rules are simple: players take turns to place black or white stones on a board, trying to capture the opponent's stones or surround empty space to make points of territory. Confucius wrote about the game, and its aesthetic beauty elevated it to one of the four essential arts required of any true Chinese scholar. The game is played primarily through intuition and feel, and because of its subtlety and intellectual depth it has captured the human imagination for centuries.
But as simple as the rules are, Go is a game of profound complexity. The search space in Go is vast -- more than a googol times larger than chess (a number greater than there are atoms in the universe!). As a result, traditional “brute force” AI methods -- which construct a search tree over all possible sequences of moves -- don’t have a chance in Go. To date, computers have played Go only as well as amateurs. Experts predicted it would be at least another 10 years until a computer could beat one of the world’s elite group of Go professionals.
We saw this as an irresistible challenge! We started building a system, AlphaGo, described in a paper in Nature this week, that would overcome these barriers. The key to AlphaGo is reducing the enormous search space to something more manageable. To do this, it combines a state-of-the-art tree search with two deep neural networks, each of which contains many layers with millions of neuron-like connections. One neural network, the “policy network”, predicts the next move, and is used to narrow the search to consider only the moves most likely to lead to a win. The other neural network, the “value network”, is then used to reduce the depth of the search tree -- estimating the winner in each position in place of searching all the way to the end of the game.
AlphaGo’s search algorithm is much more human-like than previous approaches. For example, when Deep Blue played chess, it searched by brute force over thousands of times more positions than AlphaGo. Instead, AlphaGo looks ahead by playing out the remainder of the game in its imagination, many times over - a technique known as Monte-Carlo tree search. But unlike previous Monte-Carlo programs, AlphaGo uses deep neural networks to guide its search. During each simulated game, the policy network suggests intelligent moves to play, while the value network astutely evaluates the position that is reached. Finally, AlphaGo chooses the move that is most successful in simulation.
We first trained the policy network on 30 million moves from games played by human experts, until it could predict the human move 57% of the time (the previous record before AlphaGo was 44%). But our goal is to beat the best human players, not just mimic them. To do this, AlphaGo learned to discover new strategies for itself, by playing thousands of games between its neural networks, and gradually improving them using a trial-and-error process known as reinforcement learning. This approach led to much better policy networks, so strong in fact that the raw neural network (immediately, without any tree search at all) can defeat state-of-the-art Go programs that build enormous search trees.
These policy networks were in turn used to train the value networks, again by reinforcement learning from games of self-play. These value networks can evaluate any Go position and estimate the eventual winner - a problem so hard it was believed to be impossible.
Of course, all of this requires a huge amount of compute power, so we made extensive use of Google Cloud Platform, which enables researchers working on AI and Machine Learning to access elastic compute, storage and networking capacity on demand. In addition, new open source libraries for numerical computation using data flow graphs, such as TensorFlow, allow researchers to efficiently deploy the computation needed for deep learning algorithms across multiple CPUs or GPUs.
So how strong is AlphaGo? To answer this question, we played a tournament between AlphaGo and the best of the rest - the top Go programs at the forefront of A.I. research. Using a single machine, AlphaGo won all but one of its 500 games against these programs. In fact, AlphaGo even beat those programs after giving them 4 free moves headstart at the beginning of each game. A high-performance version of AlphaGo, distributed across many machines, was even stronger.
This figure from the Nature article shows the Elo rating and approximate rank of AlphaGo (both single machine and distributed versions), the European champion Fan Hui (a professional 2-dan), and the strongest other Go programs, evaluated over thousands of games. Pale pink bars show the performance of other programs when given a four move headstart.
It seemed that AlphaGo was ready for a greater challenge. So we invited the reigning 3-time European Go champion Fan Hui — an elite professional player who has devoted his life to Go since the age of 12 — to our London office for a challenge match. The match was played behind closed doors between October 5-9 last year. AlphaGo won by 5 games to 0 -- the first time a computer program has ever beaten a professional Go player. AlphaGo’s next challenge will be to play the top Go player in the world over the last decade, Lee Sedol. The match will take place this March in Seoul, South Korea. Lee Sedol is excited to take on the challenge saying, "I am privileged to be the one to play, but I am confident that I can win." It should prove to be a fascinating contest!
We are thrilled to have mastered Go and thus achieved one of the grand challenges of AI. However, the most significant aspect of all this for us is that AlphaGo isn’t just an ‘expert’ system built with hand-crafted rules, but instead uses general machine learning techniques to allow it to improve itself, just by watching and playing games. While games are the perfect platform for developing and testing AI algorithms quickly and efficiently, ultimately we want to apply these techniques to important real-world problems. Because the methods we have used are general purpose, our hope is that one day they could be extended to help us address some of society’s toughest and most pressing problems, from climate modelling to complex disease analysis.
Headquartered in Singapore, Wego is a popular online travel marketplace for flights and hotels for users in South East Asia and the Middle East. They launched their Android app in early 2014, and today, more than 62 percent of Wego app users are on Android. Wego recently redesigned their app using material design principles to provide their users a more native Android experience for consistency and easier navigation.
Watch Ross Veitch, co-founder and CEO, and the Wego team talk about how they increased monthly user retention by 300 percent and reduced uninstall rates by up to 25 percent with material design.
Chrome gives you a fast and secure way to explore the web, no matter what device you’re using. To keep all of our users safe and to help them save on data usage, we now show 5 million Safe Browsing warning messages every day and have over 100 million people using Data Saver mode in Chrome on Android. This saves up to 100 Terabytes of data a day — enough data to store the complete works of Shakespeare, 10 million times! The latest version of Chrome brings some fresh updates for the new year to get you moving faster and stay secure.
Speed and stability on iOS
These improvements will gradually be rolled out starting today—just update Chrome to get rolling. (If you want a peek under the hood, check out this update in the Chromium blog.)
Keep an eye on your data usage
If you’re using your computer at a library or coffee shop with spotty public WiFi, it’s helpful to be able to manage your data usage—which is why we created Chrome’s new Data Saver extension. It reduces the data your computer needs to access websites using the same compression technology as Chrome for Android’s Data Saver mode. Clicking on “Details” will tell how much data you’ve saved, and which websites are scooping up most data.
Keeping Chromies secure online
Of course, even with all the features Chrome offers to help you stay secure online, there's a lot you can do too to protect yourself. A few pro-tips:
Keep your computer free of unwanted software with the Chrome Cleanup Tool. This program sweeps through your computer for software that’s been identified by Google and our industry partners as unhelpful or malicious. To date, 40 million people have successfully cleaned up their computers with this tool.
Starting in this latest release, you’ll begin to see all extensions to the right of the URL bar, so you can easily remove anything you don’t recognize. Just right click the extension icon and select “Remove from Chrome.”
Posted by AbdelKarim Mardini, Product Manager and New Year's Resolver
A year and a half ago we introduced Google Cardboard, a simple cardboard viewer that anyone can use to experience mobile virtual reality (VR). With just Cardboard and the smartphone in your pocket, you can travel to farawayplaces and visit imaginedworlds. Since then everyone from droid lovers and Sunday edition subscribers, to big kids and grandmas have been able to enjoy VR—often for the very first time. Here's a look at where we are, 19 months in:
1. 5 million Cardboard fans have joined the fold.
2. In just the past two months (October-December), you launched into 10 million more immersive app experiences:
While you've been traveling the world and beyond with Cardboard, we've been on a journey, too. Keep your eyes peeled for more projects that bring creative, entertaining and educational experiences to mobile VR.
Posted by Clay Bavor, VP Virtual Realityhttp://2.bp.blogspot.com/-2lf4cAt9Xoo/VqkFrHZ5xxI/AAAAAAAARzs/E8ZK8l4EPo8/s1600/Google-Cardboard_hero.jpgClay BavorVPVirtual Reality
Introduced in May 2015, App Invites is an out-of-the-box solution for conducting app referrals and encouraging sharing. So far, we’ve seen very positive results on how the feature improves app discovery. While 52 percent of users discover apps by word of mouth, we have seen 92 percent of users trust recommendations from family and friends with App Invites. In this post, we’ll share some success stories from companies that have already used App Invites to grow their user base.
Fabulous is a research-based app incubated in Duke University's Center for Advanced Hindsight. The app helps users to embark on a journey to resetting poor habits, replacing them with healthy rituals, with the ultimate goal of improving health and well-being.
Users started taking advantage of App Invites within the app to share their experience with their friends and family. App Invites installs now account for 60 percent of all Fabulous installs via referrals. Sharing clicks also increased by 10 percent once App Invites were used. Fabulous also noticed increased user retention, with 2x the Life Time Value of the app for users that came in to it via App Invites. Fabulous simplified their user experience, combining SMS and email into a single interface, allowing users to focus on sharing.
Additionally, users that were acquired via App Invites versus other channels were found to be twice as likely to stay with the app.
CTO of Fabulous, Amine Laddhari, commented, “It took me only a few hours to implement App Invites versus several days of work when we built our own solution. It was straightforward!”
You can view the full case study from Fabulous here.
Yummly, a food discovery platform that views cooking a meal as a personalized, shareable experience wanted to expand its user base and generate awareness on the Android platform. It added App Invites so that users could recommend the app to their family and friends, giving functionality to share specific recipes, dinner ideas or shipping lists.
With App invites, they found that installation rates were about 60 percent higher compared to other sharing channels. Additionally, Yummly was able to take advantage of the seamless integration of Google Analytics. It’s the only share channel that has this integration, allowing data such as the number of invites sent, accepted and resulting installs to be accurately tracked.
Melissa Guyre, Product Manager at Yummly, commented, “The App Invites Integration process was seamless. A bonus feature is the excellent tracking tie-in with Google Analytics.”
You can view the full case study from Yummly here.
App Invites is available for Android or iOS, and you can learn how you can build it into your own apps at g.co/appinvites.
In just two days, Americans will tune in for the final Republican debate before the 2016 primary season officially kicks off in Iowa, and we’re teaming up with Fox News Channel to make sure every citizen can get the most out of it. To help people get informed before heading to the polls, we’re integrating three new components into the debate: a way to hear directly from candidates on Google; real-time Google Trends data; and questions from some of YouTube’s most prominent voices.
Hear from candidates directly, right on Google Political search interest spikes 440 percent on average during live televised debates as people turn to the web to learn more about the candidates and their platforms. Now people will have a new way to hear directly from candidates themselves, in real-time—right in Google Search results. This experimental feature helps voters make more informed choices, and levels the playing field for candidates to share ideas and positions on issues they may not have had a chance to address during the debate. By publishing long-form text, photos and videos throughout the debate, campaigns can now give extended responses, answer questions they didn’t get a chance to on stage, and rebut their opponents. As soon as the first debate begins at 7 p.m. ET on Thursday, search “Fox News debate” to find campaign responses.
Dig into issues with Google Trends Throughout the debate, we’ll also spotlight key insights from Google Trends that offer interesting insights about the candidates, issues, and debate topics—anything from questions asked about key issues to trending terms and rankings like the below minute-by-minute view of which candidate was searched most during the last debate.
You’ll also be able to answer polling questions about the issues that matter to you directly on Google Search when you search “Fox News debate.” Fox News will cover responses to these questions on air after the debate.
Watch YouTube creators engage with the candidates Finally, three prominent YouTube creators—Nabela Noor, Mark Watson, and Dulce Candy—will join the moderators in the debate to ask the candidates a question on an issue that matters to them and their communities. Bringing new voices from YouTube to political debates is something we’ve been doing since the 2008 election, and it can lead to personal and powerful interactions between candidates and voters.
The debate begins at 7 p.m. ET on Thursday, with the prime time debate starting at 9 p.m. ET. So tune in to Fox News Channel to learn more about your presidential candidates on Google!
Posted by Danielle Bowers, Google News Lab http://3.bp.blogspot.com/-0qiDZwEYmuQ/VqgEMMg61mI/AAAAAAAARyk/rjVquq9izfE/s1600/GOP-debate_hero.jpgDanielle Bowers Google News Lab
Last October, we kicked off our annual Doodle 4 Google art competition, asking students to create a doodle to tell the world “What makes me…me.” This time around, we added a little twist: for the first time in eight years of Doodle 4 Google, there were no restrictions on the medium or materials kids could use to create a doodle. Kids took us up on the challenge. A quarter of all finalists used some non-traditional media—from clay and wood to origami, photographs and sheets of music—in their submission.
Today, Googlers are hosting surprise assemblies at schools from Waterville, Maine to Waipahu, Hawaii to celebrate the winners of each state and thank the teachers and parents who have encouraged them along the way. And for the first time ever, we’re announcing winners for Washington, D.C., Guam and Puerto Rico. See all 53 State and Territory Winners on our website.
Now, our finalists need your votes for a shot at having their doodle make it onto the Google homepage. Starting today through Feb 22, head to the Doodle 4 Google site to vote for your favorite artwork for each grade group. On March 21, we’ll announce the winner and four runners-up—and you’ll see the winning doodle on google.com.
Check out this year’s talented set of finalists and vote for your favorite!
Posted by Ryan Germick, Doodler and non-traditional media enthusiasthttps://1.bp.blogspot.com/-n1T7wJ8BU3s/VrQuNJBNVeI/AAAAAAAAR0k/uecYY5zg3LQ/s1600/D4G.gif”Ryan GermickDoodlerAUTHOR TEAM
Posted by Eitan Marder-Eppstein, Developer Engineering Lead, Project Tango
GPS helps us find our way outside whether it is turn by turn navigation to the nearest grocery or just getting us oriented in a new city. But once we get indoors, it is not quite as easy – GPS doesn’t work, with accuracy dropping and navigation becoming all but impossible. This is one of the reasons why we started Project Tango, which has centimeter-scale accuracy of a device’s location, allowing better navigation and experiences in indoor spaces.
Over the past few weeks, we’ve been collecting amazing ideas from around the world for great apps for Lenovo’s Project Tango-powered phone. (Have an idea? If you can dream it, you can submit it!) As part of this program we’re hosting workshops, focused on specific Tango features. And we just wrapped up a session that we hosted with Westfield Labs devoted to indoor location. Here are some of the highlights:
As you can see, everyone from retail brands to robot startups joined in on the fun—using Project Tango’s motion tracking, depth perception, and area learning capabilities to build some amazing location-based apps. Some of our favorites included:
Wayfair made it possible to look through your phone and visualize how a piece of furniture would look in your home.
Lowe’s Innovation Labs improved in-store navigation by overlaying directions to individual items
And Aisle411 created a shop-along experience with some of your favorite celebrities
The next stop in our series is a utilities workshop, where we’ll be going deep on getting things done with Project Tango—like taking 3D measurements, or mapping your home or building. In the meantime, keep submitting your ideas to the App Incubator (the deadline is February 15!), and we’ll see you soon!
Today we feature a story about Weilin, a Google Summer of Code student turned PhD candidate. The 12th instance of Google Summer of Code is just around the corner! Visit our new program website at http://g.co/gsoc for more information about how you can get involved.
My name is Weilin Xu and I’d like to tell a personal story about my involvement with Google Summer of Code (GSoC) and just how the experience helped change my life.
I first learned of GSoC in 2011 when I was a CS undergraduate in Beijing. The program sounded great, and my first challenge was deciding which of the hundreds of participating open source organizations to apply to. I finally decided on the Nmap Security Scanner, a tool known for network discovery and security auditing. Nmap is even a movie star, but I chose it because of my fascination with networking and the new IPv6 protocol.
My biggest fear was that I might be unqualified to work on such a major project with millions of users. I didn’t have much experience in the open source community, and my English was really bad.
Meeting my GSoC mentor David Fifield (right) in San Francisco, May 2015
I applied anyway and I’m so glad that I did! The Nmap crew accepted my application and I was assigned a talented, friendly and patient mentor named David Fifield. David taught me how to use Git directly rather than just throwing me a tutorial to complete on my own. He believed that he could teach me in minutes online what could take me an hour to learn from an English article on my own. David also helped improve my English during our weekly online meetings and always encouraged me by pointing out how I’d improved. Working on Nmap with David that summer was terrific and gave me the confidence to succeed!
My project was improving Nmap’s IPv6 scanning features–particularly the host discovery system. The current IPv4 Internet’s address space is small enough to scan by brute force, but that is not possible with IPv6. So we researched and implemented other effective discovery methods, such as our targets-ipv6-multicast-slaac and targets-ipv6-multicast-echo scripts which discover link-local hosts within seconds using the IPv6 NDP protocol. Many of these techniques were already known to the networking/security community, but they were new to Nmap and that brought them into wider use. It was great to see the community appreciating these new features, and perhaps we even helped in spreading IPv6 adoption!
The Nmap GSoC experience was an important milestone in my life. It taught me critical development and research skills and it even helped me find a great job. Tsinghua University’s NISL lab offered me a full-time position which typically requires a master’s degree, but they made an exception because of my real-world GSoC experience!
Before GSoC 2011, continuing my graduate studies in the United States was never more than a dream. Study abroad is usually for wealthy Chinese families, not poor ones from rural areas. But David (a graduate student himself) encouraged me to apply and wrote a recommendation letter. I used the GSoC stipend to pay my graduate school application fees as well as testing fees for the GRE and TOEFL. After months of anticipation, I received great news— a full scholarship from the University of Virginia to research and study adversarial machine learning! My parents were very proud, and I moved to the U.S. for this exciting adventure.
I recently had the honor of meeting my mentor David in person, along with Nmap’s founder Fyodor at the “Nmap Secret Lair” in San Francisco. Fyodor took my picture with David that I’ve included in this post.
I would like to thank Google very much for organizing this fantastic GSoC program and my mentor David Fifield for being so supportive and patient and helpful. I’d also like to thank Fyodor for all of his help as well. Finally I’d like to thank my twin brother Guanglin Xu for introducing me to GSoC in the first place.
By Weilin Xu, PhD Candidate, University of Virginia
Previously, we displayed the number of Google Drive files with owners in your domain that were externally visible, because they were shared publicly, because they were made visible to anyone with the link, or because they were shared with specific recipients outside of your domain. We showed these metrics in two places in the Admin console: (1) under Reports > Highlights, and (2) under Reports > Security.
Those metrics did not paint a complete picture, because they did not include sharing with consumer accounts and sharing with Google Groups with external members. With that in mind, we are working to improve our reporting on external Drive file sharing in the near future.
Until then, however, we want to ensure that the numbers you see in the Admin console are accurate and comprehensive. As a result, we’re removing the “Shared outside domain” metric from the Highlights report and the “Externally shared files” column from the Security report. Highlights report
In addition to the changes described above, we’re making the names of the following sharing categories and events easier to understand and more consistent across the Admin console:
Under Reports > Highlights,
The “Document visibility” section is being renamed “Document Link Shared Status.”
“Externally visible files” are being renamed “External Link Shared Files.” This is the number of files shared publicly or with anyone with the link. This number does not include files that are shared only with specific recipients outside of your domain.
“Internally visible files” are being renamed “Internal Link Shared Files.” This is the number of files shared with a user’s entire domain, with anyone in a user’s domain who has the link, or with specific people in a user’s domain.
Under Reports > Security,
“Externally Visible files” are being renamed “External Link Shared Files.”
“Internally Visible files” are being renamed “Internal Link Shared Files.”
Under Reports > Audit > Drive*,
“Visibility change” is being renamed “Link Sharing visibility change.”
“Visibility access level change” is being renamed “Link Sharing Access Type Change.”
Check out the Help Center articles below for more information, and stay tuned for even more improvements to Drive file sharing reporting in the Admin console.
*Note that the Drive audit report is only available to Google Apps Unlimited customers.
Launch Details Release track: Launching to both Rapid release and Scheduled release
Rollout pace: Gradual rollout (3+ days for feature visibility)
In November, we announced that Safe Browsing would protect you from social engineering attacks – deceptive tactics that try to trick you into doing something dangerous, like installing unwanted software or revealing your personal information (for example, passwords, phone numbers, or credit cards). You may have encountered social engineering in a deceptive download button, or an image ad that falsely claims your system is out of date. Today, we’re expanding Safe Browsing protection to protect you from such deceptive embedded content, like social engineering ads.
Consistent with the social engineering policy we announced in November, embedded content (like ads) on a web page will be considered social engineering when they either:
Pretend to act, or look and feel, like a trusted entity — like your own device or browser, or the website itself.
Try to trick you into doing something you’d only do for a trusted entity — like sharing a password or calling tech support.
Below are some examples of deceptive content, shown via ads:
This image claims that your software is out-of-date to trick you into clicking “update”.
This image mimics a dialogue from the FLV software developer — but it does not actually originate from this developer.
These buttons seem like they will produce content that relate to the site (like a TV show or sports video stream) by mimicking the site’s look and feel. They are often not distinguishable from the rest of the page.
Our fight against unwanted software and social engineering is still just beginning. We’ll continue to improve Google’s Safe Browsing protection to help more people stay safe online.
Will my site be affected?
If visitors to your web site consistently see social engineering content, Google Safe Browsing may warn users when they visit the site. If your site is flagged for containing social engineering content, you should troubleshoot with Search Console. Check out our social engineering help for webmasters.
Ever since Weight Watchers first began as a gathering of friends in 1963, the company has been helping people lose pounds and live healthier lives. Today the Weight Watchers digital marketing team is focused on acquiring new generations of customers fo…
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