Posted by Elaine Kao, Education Program ManagerOver the past year, a group of California-credentialed teachers along with our own Google engineers came together to discuss and explore ideas about how to incorporate computational thinking into the K-12 curriculum to enhance student learning and build this critical 21st century skill in everyone.What exactly is computational thinking? Well, that would depend on who you ask as there are several existing resources on the web that may define this term slightly differently. We define computational thinking...
Monday, 25 October 2010
Monday, 18 October 2010
Posted by Slav Petrov, Research ScientistThe Conference on Empirical Methods in Natural Language Processing (EMNLP '10) was recently held at the MIT Stata Center in Massachusetts. Natural Language Processing is at the core of many of the things that we do here at Google. Googlers have therefore been traditionally part of this research community, participating as program committee members, paper authors and attendees.At this year's EMNLP conference Google Fellow, Amit Singhal gave an invited keynote talk on "Challenges in running a commercial search...
Friday, 15 October 2010
Posted by Slav Petrov, Research ScientistWe would like to congratulate Kuzman Ganchev for being the runner-up for the John Atanasoff award from the President of the Republic of Bulgaria. Kuzman recently joined our New York office as a research scientist, after completing his doctoral studies at the University of Pennsylvania.The John Atanasoff award was established in 2003 and is given annually to a Bulgarian scientist under 35 for scientific or...
Thursday, 14 October 2010
Posted by Mike Schuster & Kaisuke Nakajima, Google ResearchGoogle Voice Search has been available in various flavors of English since 2008, in Mandarin and Japanese since 2009, in French, Italian, German and Spanish since June 2010 (see also in this blog post), and shortly after that in Taiwanese. On June 16th 2010, we took the next step by launching our Korean Voice Search system.Korean Voice Search, by focusing on finding the correct web page for a spoken query, has been quite successful since launch. We have improved the acoustic models...
Wednesday, 13 October 2010
Posted by Jayant Madhavan and Alon HalevyPeople today use search engines for all their information needs, but when they pose a particular search query, they typically have a specific underlying intent. However, when looking at any query in isolation, it might not entirely be clear what the underlying intent is. For example, when querying for mars, a user might be looking for more information about the planet Mars, or the planets in the solar system in general, or the Mars candy bar, or Mars the Roman god of war. The ambiguity in intent is most...
Tuesday, 12 October 2010
Posted by Murray Stokely, Software EngineerThe 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI ‘10) was recently held in Vancouver, B.C. This biennial conference is one of the premiere forums for presenting innovative research in distributed systems from both academia and industry, and we were glad to be a part of it.In addition to sponsoring this conference since 2002, Googlers contributed to the exchange of scientific ideas through authoring or co-authoring 3 published papers, organizing workshops, and serving on the...
Monday, 11 October 2010
Posted by Vincent Vanhoucke, Google ResearchWhile we continue to launch exciting new speech products--most recently Voice Actions and Google Search by Voice in Russian, Czech and Polish--we also strive to contribute to the academic research community by sharing both innovative techniques and experiences with large-scale systems.This year’s gathering of the world’s experts in speech technology research, Interspeech 2010 in Makuhari, Japan, which Google...
Thursday, 7 October 2010
Posted by Phil Long, Research TeamIt is easy to find the bottom of a bowl no matter where you start -- if you toss a marble anywhere into the bowl, it will roll downhill and find its way to the bottom.What does this have to do with Machine Learning? A natural way to try to construct an accurate classifier is to minimize the number of prediction errors the classifier makes on training data. The trouble is, even for moderate-sized data sets, minimizing the number of training errors is a computationally intractable problem. A popular way around...
Tuesday, 5 October 2010
Posted by Dmitriy Genzel, Software EngineerOnce upon a midnight dreary, long we pondered weak and weary,Over many a quaint and curious volume of translation lore.When our system does translation, lifeless prose is its creation;Making verse with inspiration no machine has done before.So we want to boldly go where no machine has gone before.Quoth now Google, "Nevermore!"Robert Frost once said, “Poetry is what gets lost in translation.” Translating poetry is a very hard task even for humans, and is clearly beyond the capability of current machine...
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