Research happens across all of Google, and affects everything we do.
Research at Google is unique. Because so much of what we do hasn't been done before, the lines between research and development are often very blurred. This hybrid approach allows our discoveries to affect the world, both through improving Google products and services, and through the broader advancement of scientific knowledge.Google's Hybrid Approach to Research
History Dependent Domain Adaptation
Allen Lavoie, Matthew Eric Otey, Nathan Ratliff
Domain Adaptation Workshop at NIPS '11 (2011)
Machine Learning in an Auction Environment
Proceedings of the 23rd International Conference on the World Wide Web (WWW) (2014), pp. 7-18
Zero-Shot Learning by Convex Combination of Semantic Embeddings
International Conference on Learning Representations (2014) (to appear)
Latest from the blog
Open edX: Building an online education ecosystem with Harvard and MIT
Through Course Builder, the experimental platform for online education at scale, Google has helped to deliver on our goal of making education more accessible through technology by enabling educators to easily teach unprecedented numbers of students through MOOCs. Now, in collaboration with Harvard and MIT, Google is working with edX as a contributor to the open source platform, Open edX. By taking our learnings from Course Builder to further innovate on an open source MOOC platform, Google and edX are working together to advance their shared mission to broaden access to education. We look forward to contributing to edX's new site, MOOC.org.
- Slav Petrov
- Natural Language
- New York, NY
Working on problems that are at the intersection of natural language processing and machine learning, Staff Research Scientist Slav Petrov actively investigates the application of syntactic analysis to the domains of machine translation and question answering. Most recently, Dr. Petrov has worked on the addition of wildcard and morphology queries to the Google Books Ngram Viewer, while also teaching an ongoing statistical natural language processing course at NYU. A native of Sofia, Bulgaria, Dr. Petrov obtained a MS in Computer Science from the Free Universtiy of Berlin and his PhD at UC Berkeley before joining Google Research in the New York office in 2009.
April 26 - May 1
In April, Toronto hosts the ACM SIGCHI conference on Human Factors in Computing Systems (CHI 2014). The premier multidisciplinary conference on human-computer interaction (HCI), CHI 2014 draws an international community of scientists in a celebration of the forward-thinking nature of HCI research. As champion-level sponsor, Google will be on hand to share our research discoveries, with Googlers presenting papers, offering courses, and participating in panels and case studies. Come join the conversation at the Google exhibit, and learn about some of the exciting developments in HCI from Googlers in attendance. We hope to see you there!