Posted by Corinna Cortes and Alfred Spector, Google Research We often get asked if Google scientists and engineers publish technical papers, and the answer is, "Most certainly, yes." Indeed, we have a formidable research capability, and we encourage publications as well as other forms of technical dissemination-including our contributions to open source and standards and the introduction of new APIs and tools, which have proven to sometimes be foundational.

Posted by Mike Schuster & Martin Jansche, Google Research On June 16th, we launched our Korean voice search system . Google Search by Voice has been available in various flavors of English since 2008, in Mandarin and Japanese since 2009, and in French, Italian, German and Spanish just a few weeks ago )some more details in a recent blog post (. Korean speech recognition has received less attention than English,

Posted by Maggie Johnson, Director of Education & University Relations We're excited to announce the latest round of Google Research Awards, our program which identifies and supports full-time faculty pursuing research in areas of mutual interest. From a record number of submissions, we are funding 75 awards across 18 different areasâ€"a total of more than $4 million. The areas that received the highest level of funding for this round were systems and infrastructure,

Posted by Jon Feldman and Vahab Mirrokni , Google Research, NY The 50th Annual Symposium on Foundations of Computer Science )FOCS( was held a couple of weeks ago in Atlanta. This conference )along with STOC and SODA( is one of the the major venues for recent advances in algorithm design and computational complexity. Computation is now a major ingredient of almost any field of science, without which many of the recent achievements would not have happened )e.g.,

Posted by Yushi Jing and Henry Rowley, Google Research Earlier this week, we announced the Labs launch of Google Image Swirl , an experimental search tool that organizes image-search results. We hope to take this opportunity to explain some of the research underlying this feature, and why it is an important area of focus for computer vision research at Google. As the Web becomes more "visual,

Posted by Mike Belshe, Software Engineer and Roberto Peon, Software Engineer Cross-posted with the Chromium Blog . Today we'd like to share with the web community information about SPDY, pronounced "SPeeDY", an early-stage research project that is part of our effort to make the web faster . SPDY is at its core an application-layer protocol for transporting content over the web. It is designed specifically for minimizing latency through features such as multiplexed streams,

Posted by Hal Varian, Chief Economist and Hyunyoung Choi, Sr. Economist One of the strongest leading indicators of economic activity is the number of people who file for unemployment benefits. Macroeconomists Robert Gordon and James Hamilton have recently examined the historical evidence. According to Hamilton's summary: "...in each of the last six recessions, the recovery began within 8 weeks of the peak in new unemployment claims." In an earlier blog post ,

Posted by Rich Gossweiler, Maryam Kamvar, Shumeet Baluja Unfortunately, there is a war going on between humans and 'bots. Software 'bots are attempting to generate massive numbers of computer accounts which are then sold in bulk to spammers. Spammers use these accounts to inundate emails and discussion boards. Meanwhile humans are trying to simply create an account and don't want to spend a lot of time proving that they are not a program.

Posted by Hal Varian, Chief Economist and Hyunyoung Choi, Decision Support Engineering Analyst Can Google queries help predict economic activity? The answer depends on what you mean by "predict." Google Trends and Google Insights for Search provide a real time report on query volume, while economic data is typically released several days after the close of the month. Given this time lag,

Posted by Leslie Yeh Johnson, Google University Relations As you may have read, today we announced the recipients of the 2009 Google Fellowships. )You can read the announcement over on the Official Google Blog .( This is fantastic news, and the blog post makes the Google Fellowship Program sound very polished. But the truth is there was a lot more work )and scrambling( done in the background...here's a quick snapshot.

Posted by T.V Raman, Research Scientist A little over a year ago, I gave a lightning talk at the W3C Technical Plenary in Boston where I looked forward to what came after Web-2.0. The key insight underlying that talk was that the Web was now mature enough for us to build Web technologies purely out of Web parts. Web-2.0 is a result of applying the Web to itself and is therefore better thought of as Web)Web)(( or more concisely, Web 2 . Today,

Posted by Anthony Francis Maybe your computer just needs a hug I'm Anthony Francis, an artificial intelligence researcher working in Google's Search Quality group.  One of the things I like about Google is that we give back to the world in ways that make sense for our business, both as a company and as individuals.  Google's search engine runs on electrical power, and so Google as a company invests in renewable energy and encourages Googlers as individuals to conserve energy.

Posted by Phil Long Machine Learning is a branch of Artificial Intelligence in which, naturally enough, the aim is to get computers to learn: things like improving performance over time, and recognizing general tendencies among a number of specific cases.  We have many ways to exploit Machine Learning programs, and a lot of data to give them.  Machine Learning helps us to estimate what content users like most, what content is even legitimate, and how to match ads to content.

Posted by Franz Josef Och Machine translation is hard. Natural languages are so complex and have so many ambiguities and exceptions that teaching a computer to translate between them turned out to be a much harder problem than people thought when the field of machine translation was born over 50 years ago. At Google Research, our approach is to have the machines learn to translate by using learning algorithms on gigantic amounts of monolingual and translated data.

Posted by Kevin McCurley, Research Team It is with great sadness that we note the passing of Randy Pausch, who taught computer science at Carnegie Mellon University. Randy was well-known by many within the research community, including quite a number of us here at Google. Alfred Spector, our Vice President of Research, was his Ph.D. advisor. Rich Gossweiler, a Senior Research Scientist, was his first Ph.D. student. Several other former colleagues and coauthors )Joshua Bloch,

Posted by Phil Long Machine Learning is a branch of Artificial Intelligence in which, naturally enough, the aim is to get computers to learn: things like improving performance over time, and recognizing general tendencies among a number of specific cases. We have many ways to exploit Machine Learning programs, and a lot of data to give them. Machine Learning helps us to estimate what content users like most, what content is even legitimate, and how to match ads to content.

Posted by Christophe Bisciglia, Senior Software Engineer, and Alfred Spector, Vice President of Research The emergence of extremely large datasets, well beyond the capacity of almost any single computer, has challenged traditional and contemporary methods of analysis in the research world. While a simple spreadsheet or modest database remains sufficient for some research, problems in the domain of "computational science,

Posted by Jeff Walz and Kevin McCurley The world's research and educational infrastructures are tightly intertwined. Research universities enable students to participate in research activities, and research contributes to the vitality of the educational experience. At Google, we also recognize the importance of education to our research and engineering activities. In addition to our own in-house activities,

Posted by Ashok C. Popat, Research Scientist Statistical methods of text analysis have become increasingly sophisticated over the years. A good example is automated topic analysis using latent models, two variants of which are Probabilistic latent semantic analysis and Latent Dirichlet Allocation . Earlier this year, Amit Gruber , a Ph.D. student at the Hebrew University of Jerusalem,

Posted by Jeremy Brewer We've gotten an incredible amount of positive feedback about Sky in Google Earth , which lets Google Earth users explore the sky above them with hundreds of millions of stars and galaxies taken from astronomy imagery. From the start though, we have wanted to open the sky up to everyone. As a first step, we've been hard at work developing tools to let astronomers add their own imagery, and we think we've come up with something that does the job nicely.