Posted by David Konerding, Staff Software EngineerIn April 2011, we announced the Google Exacycle for Visiting Faculty, a new academic research awards program donating one billion core-hours of computational capacity to researchers. The Exacycle project enables massive parallelism for doing science in the cloud, and inspired multiple proposals aiming to take advantage of cloud scale. Today, we would like to share some exciting results from a project built on Google’s infrastructure.Google Research Scientist Kai Kohlhoff, in collaboration with Stanford...
Monday, 16 December 2013
Wednesday, 11 December 2013
Posted by Alfred Spector, VP of EngineeringYesterday, the Association for Computing Machinery (ACM) released the list of those who have been elected ACM Fellows in 2013. I am excited to announce that Google Research Scientist Moti Yung is among the distinguished individuals receiving this honor.Moti was chosen for his contributions to computer science and cryptography that have provided fundamental knowledge to the field of computing security. We are proud of the breadth and depth of his contributions, and believe they serve as motivation for computer...
Tuesday, 3 December 2013
Posted by Dave Orr, Google Research Product ManagerNot everything that can be counted counts.Not everything that counts can be counted.- William Bruce Cameron50,000 relations from Wikipedia. 100,000 feature vectors from YouTube videos. 1.8 million historical infoboxes. 40 million entities derived from webpages. 11 billion Freebase entities in 800 million web documents. 350 billion words’ worth from books analyzed for syntax.These are all datasets...
Tuesday, 26 November 2013
Posted by Omid Madani, Senior Software Engineer“If it looks like a duck, swims like a duck, and quacks like a duck, then it probably is a duck.”The “duck test”.Performance of machine learning algorithms, supervised or unsupervised, is often significantly enhanced when a variety of feature families, or multiple views of the data, are available. For example, in the case of web pages, one feature family can be based on the words appearing on the page, and another can be based on the URLs and related connectivity properties. Similarly, videos contain...
Monday, 25 November 2013
Posted by Jon Orwant, Engineering ManagerConstraint Programming is a style of problem solving where the properties of a solution are first identified, and a large space of solutions is searched through to find the best. Good constraint programming depends on modeling the problem well, and on searching effectively. Poor representations or slow search techniques can make the difference between finding a good solution and finding no solution at all.One example of constraint programming is scheduling: for instance, determining a schedule for a conference...
Friday, 22 November 2013
Posted by Maggie Johnson, Director of Education and University RelationsWe held the first global Language Understanding and Knowledge Discovery Focused Faculty Workshop in Nanjing, China, on November 14-15, 2013. Thirty-four faculty members joined the workshop arriving from 10 countries and regions across APAC, EMEA and the US. Googlers from Research, Engineering and University Relations/University Programs also attended the event. The 2-day workshop included keynote talks, panel discussions and break-out sessions [agenda]. It was an engaging and...
Tuesday, 19 November 2013
Posted by Candice Reimers, Senior Program ManagerResearch shows that professional development for educators has a direct, positive impact on students, so it’s no wonder that institutions are eager to explore creative ways to enhance professional development for K-12 teachers. Open source MOOC platforms, such as Course Builder, offer the flexibility to extend the reach of standard curriculum; recently, several courses have launched that demonstrate new and creative applications of MOOCs. With their wide reach, participant engagement, and rich content,...
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