Archive for June, 2012

Question by d w: What do you think about making money with google? i’m looking for streams of income?
would you trust it.

Best answer:

Answer by helplesswonder
There should be no trust issue with google, the company is legit. Its just take alot of effort to actually make a significant amount of money. But it can be done, there is no doubt about that.. Try adding that along with something else to suppplement it..

What do you think? Answer below!

Celebrating Pride 2012

We encourage people to bring their whole selves to work. And this month Googlers, Gayglers (gay Googlers), and their families and friends took this spirit to the streets in Pride parades and celebrations around the globe. In Sao Paulo, a group of 50 marched as a Google contingent for the first time ever. In San Francisco, more than 1,000 Googlers and allies marched (nearly doubling the number of people we had in 2011!). In New York, more than 700 of our friends and colleagues took over 5th Avenue marching alongside our double-decker Pride bus. And this weekend in Singapore, we’re sponsoring the Pink Dot celebration for the second consecutive year.

It’s not just through Pride that we show our support for the LGBT community. At Mardi Gras in Sydney, we hosted two Queer Thinking seminars on Activism in the Internet Age and Queer Careers. We also have big plans for the World Pride celebration in London this year, launching a “Legalise Love” Conference at Google London, partnering with organizations to identify ways to decriminalize homosexuality and eliminate homophobia around the world.

In addition to supporting the LGBT community outside of Google, we made some changes to our benefits offerings to support our Gayglers. Earlier this year, we enhanced our transgender-inclusive benefits to cover transitioning procedures and treatment in accordance with the World Professional Association for Transgender Health’s (WPATH) Standards of Care, which includes coverage for procedures like facial feminization for transgender women and pectoral implants for transgender men. We also increased our lifetime maximum coverage for these benefits to $ 75K—more than double what it had been previously.

Next month we’ll carry the energy of Pride into our fourth annual company Diversity & Inclusion celebration, the Sum of Google. The Sum is an opportunity to celebrate and engage in a discussion about diversity and inclusion across our offices around the world.

Take a look at the photos below for a peek at this year’s Pride celebrations.


The Official Google Blog

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WordPress 3.4.1 is now available for download. WordPress 3.4 has been a very smooth release, and copies are flying off the shelf — 3 million downloads in two weeks! This maintenance release addresses 18 bugs with version 3.4, including:

  • Fixes an issue where a theme’s page templates were sometimes not detected.
  • Addresses problems with some category permalink structures.
  • Better handling for plugins or themes loading JavaScript incorrectly.
  • Adds early support for uploading images on iOS 6 devices.
  • Allows for a technique commonly used by plugins to detect a network-wide activation.
  • Better compatibility with servers running certain versions of PHP (5.2.4, 5.4) or with uncommon setups (safe mode, open_basedir), which had caused warnings or in some cases prevented emails from being sent.

Version 3.4.1 also fixes a few security issues and contains some security hardening. The vulnerabilities included potential information disclosure as well as an bug that affects multisite installs with untrusted users. These issues were discovered and fixed by the WordPress security team.

Download 3.4.1 now or visit Dashboard → Updates in your site admin to update now.

Green was a bit green
We have hardened it up some
Update WordPress now

WordPress News

Question by Tom: Can a traveler use his banks debit care when traveling abroad?
Say a person is on a fixed income with automatic deposits made monthly to his account, and he would like to travel but doesn’t want to get a credit card.

Best answer:

Answer by conley39
Yes, in many places you can. Here in Italy, Bancomats (ATMs) are widely available that are on international circuits. You need to let your bank know that you will be taveling and using your card in foreign locations – otherwise there is a possibility that the security software would see this as a potential stolen card and lock it until you call in to assure them that you still have the card in your possession. You should also be aware that if you have daily / monthly limits on withdrawals, they will also apply when you use the card here. I frequently use my US ATM (debit) card when I’m traveling here in Europe because my bank reimburses my account for fees imposed by other banks when I use their ATMs. This can be an excellent way of making a currency exchange.

It’s still useful to have a credit card as a backup in an emergency even if you never end up using it.

What do you think? Answer below!

Project Glass demo: Hangouts IN Air

This morning at the Google I/O conference we did a special kind of demo. I’m very proud of the talented skydivers, mountain bikers and rappellers we worked with to push technology limits while showing the amazing potential of Project Glass. Check out one of their practice jumps.

We want to share more about this demonstration with all of you, so please tune in live tomorrow—weather permitting!—at roughly 11:00a.m. PDT at developers.google.com/events/io.

You might just catch another Hangout in Air.


The Official Google Blog

Rate the video – Thanks …… PLEASE feel free to check out my blog and have a read on what will be a regular thingwww.blogger.com twitter.com – My twittter www.facebook.com – My Facebook page duxter.com Fill the survey out. Easy as fook! Playlist for this below. Pop by and check it out, also check my FM12 series out if you get a chance www.youtube.com For badges etc… www.youtube.com Please check the playlist out and like and share it at the top :P PLAYLIST www.youtube.com Thanks team!!
Video Rating: 4 / 5

You probably use machine learning technology dozens of times a day without knowing it—it’s a way of training computers on real-world data, and it enables high-quality speech recognition, practical computer vision, email spam blocking and even self-driving cars. But it’s far from perfect—you’ve probably chuckled at poorly transcribed text, a bad translation or a misidentified image. We believe machine learning could be far more accurate, and that smarter computers could make everyday tasks much easier. So our research team has been working on some new approaches to large-scale machine learning.

Today’s machine learning technology takes significant work to adapt to new uses. For example, say we’re trying to build a system that can distinguish between pictures of cars and motorcycles. In the standard machine learning approach, we first have to collect tens of thousands of pictures that have already been labeled as “car” or “motorcycle”—what we call labeled data—to train the system. But labeling takes a lot of work, and there’s comparatively little labeled data out there.

Fortunately, recent research on self-taught learning (PDF) and deep learning suggests we might be able to rely instead on unlabeled data—such as random images fetched off the web or out of YouTube videos. These algorithms work by building artificial neural networks, which loosely simulate neuronal (i.e., the brain’s) learning processes.

Neural networks are very computationally costly, so to date, most networks used in machine learning have used only 1 to 10 million connections. But we suspected that by training much larger networks, we might achieve significantly better accuracy. So we developed a distributed computing infrastructure for training large-scale neural networks. Then, we took an artificial neural network and spread the computation across 16,000 of our CPU cores (in our data centers), and trained models with more than 1 billion connections.

We then ran experiments that asked, informally: If we think of our neural network as simulating a very small-scale “newborn brain,” and show it YouTube video for a week, what will it learn? Our hypothesis was that it would learn to recognize common objects in those videos. Indeed, to our amusement, one of our artificial neurons learned to respond strongly to pictures of… cats. Remember that this network had never been told what a cat was, nor was it given even a single image labeled as a cat. Instead, it “discovered” what a cat looked like by itself from only unlabeled YouTube stills. That’s what we mean by self-taught learning.

One of the neurons in the artificial neural network, trained from still frames from unlabeled YouTube videos, learned to detect cats.

Using this large-scale neural network, we also significantly improved the state of the art on a standard image classification test—in fact, we saw a 70 percent relative improvement in accuracy. We achieved that by taking advantage of the vast amounts of unlabeled data available on the web, and using it to augment a much more limited set of labeled data. This is something we’re really focused on—how to develop machine learning systems that scale well, so that we can take advantage of vast sets of unlabeled training data.

We’re reporting on these experiments, led by Quoc Le, at ICML this week. You can get more details in our Google+ post or read the full paper (PDF).

We’re actively working on scaling our systems to train even larger models. To give you a sense of what we mean by “larger”—while there’s no accepted way to compare artificial neural networks to biological brains, as a very rough comparison an adult human brain has around 100 trillion connections. So we still have lots of room to grow.

And this isn’t just about images—we’re actively working with other groups within Google on applying this artificial neural network approach to other areas such as speech recognition and natural language modeling. Someday this could make the tools you use every day work better, faster and smarter.


The Official Google Blog

Project Re: Brief, the documentary

A few months ago, we introduced Project Re: Brief, our experiment to reimagine online advertising. We took some of the most loved ad campaigns from the ‘60s and ‘70s and and brought them back to life for the digital age with the help of the advertising legends that made them in the first place. Together, we created a series of ads designed to start conversations and fire up imaginations about what technology can make possible, such as ads that enable two strangers on opposite sides of the world to connect over a can of soda, or that translate a customer service experience into an instant, shareable, personalized animated video.

But Re: Brief is not just about the ads themselves. It’s also about the creative process behind them: bringing “old school” advertising legends and technologists into the same room to create digital ads that consumers love as much as they loved the iconic campaigns of yesterday. To share this experience, today we premiered the documentary film Project Re: Brief, directed by Emmy winner Doug Pray, at the Cannes Lions International Festival of Creativity—also available on YouTube.

This hour-long documentary follows the story of the five art directors and copywriters who made the original ads as they come out of retirement to “Re: Brief” their classic campaigns: Harvey Gabor (Coca-Cola’s “Hilltop); Amil Gargano (Volvo’s “Drive it like you hate it”); Paula Green (Avis’ “We try harder”); and Howie Cohen and Bob Pasqualina (Alka-Seltzer’s “I can’t believe I ate the whole thing”). While major shifts in technology have reshaped the advertising business, as we learned from our heroes of the past, the basic tenets of storytelling haven’t changed. We found these icons’ ideas, wisdom and passion for great advertising inspiring and hope you do as well.

For more details on the film and the Cannes Lions festival, visit our Agency Blog.


The Official Google Blog

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Video Rating: 4 / 5

www.simple-success-system.com – The Simple Success System – Watch 2 VERY Successful Internet Marketers show you how to create your own Multiple Streams of Income in this FREE Webinar!
Video Rating: 0 / 5

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