Google Launches All For Good

Google, Craigslist Foundation, YouTube, FanFeedr and UCLA have partnered to launch a new site called All for Good, which is designed to connect volunteers in their local communities with charitable organizations.
All for Good helps people find ways to get involved in their community, from being a mentor to helping design a website for a nonprofit. The platform allows people to sign in to Facebook or Google to share volunteer activities with others across social networking services.

More Teens Using Social Networking Sites

Online Canadian teens are significantly more likely to have a social network profile than online Canadian adults, according to a new study from, Ipsos Reid.
Over three-quarters (76%) of online Canadian teens ages 12-17 now have a social network profile up from 50 percent in 2007. The rate of increase is higher than that for the online adult population, which increased from 39 percent to 56 percent over the same time period.

Survey: 62% Prefer iPods to the Environment

The Shelton Group has released some interesting survey results showing that the majority of Americans would like to "go green," but not at the expense of their own convenience. It’s not that the results are particularly surprising, but they are interesting in that they are broken down into what percentage of participants would be willing to give up what devices if they could help the environment.

Eight Percent Have Downloaded Video Illegally

Eight percent of consumers in the UK, France, Germany and the U.S. have admitted to downloading content illegally from file sharing websites, according to a new study by Futuresource Consulting.
When looking only at the downloader segment, the study found that 15 percent of all downloaders admitted to obtaining video content illegally, with France taking the lead at 25 percent.

Google Makes Progress in Image Recognition

Today at the Computer Vision and Pattern Recognition (CVPR) conference in Miami, Google released a new research paper that looks at building a web-scale landmark-recognition engine. This could lay the groundwork for some interesting advancements in image search.

"To be clear up front, this is a research paper, not a new Google product, but we still think it’s cool," says Jay Yagnik, Head of Computer Vision Research.

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