The Google Brain Team’s Approach to Research

Posted by Jeff Dean, Google Senior FellowAbout a year ago, the Google Brain team first shared our mission “Make machines intelligent. Improve people’s lives.” In that time, we’ve shared updates on our work to infuse machine learning across Google products that hundreds of millions of users access everyday, including Translate, Maps, and more. Today, I’d like to share more about how we approach this mission both through advancement in the fundamental theory and understanding of machine learning, and through research in the service of product.Five years ago, our colleagues Alfred Spector, Peter Norvig, and Slav Petrov published a blog post and paper explaining Google’s hybrid approach to research, an approach that always allowed for varied balances between curiosity-driven and application-driven research. The biggest challenges in machine learning that the Brain team is focused on require the broadest exploration of new…
Original Post: The Google Brain Team’s Approach to Research

Highlights from the Annual Google PhD Fellowship Summit, and Announcing the 2017 Google PhD Fellows

Posted by Susie Kim, Program Manager, University RelationsIn 2009, Google created the PhD Fellowship Program to recognize and support outstanding graduate students doing exceptional research in Computer Science and related disciplines. Now in its ninth year, our Fellowships have helped support over 300 graduate students in Australia, China and East Asia, India, North America, Europe and the Middle East who seek to shape and influence the future of technology.Recently, Google PhD Fellows from around the globe converged on our Mountain View campus for the second annual Global PhD Fellowship Summit. VP of Education and University Programs Maggie Johnson welcomed the Fellows and went over Google’s approach to research and its impact across our products and services. The students heard talks from researchers like Ed Chi, Douglas Eck, Úlfar Erlingsson, Dina Papagiannaki, Viren Jain, Ian Goodfellow, Kevin Murphy and Galen Andrew,…
Original Post: Highlights from the Annual Google PhD Fellowship Summit, and Announcing the 2017 Google PhD Fellows

Google at KDD’17: Graph Mining and Beyond

Posted by Bryan Perozzi, Research Scientist, NYC Algorithms and Optimization TeamThe 23rd ACM conference on Knowledge Discovery and Data Mining (KDD’17), a main venue for academic and industry research in data science, information retrieval, data mining and machine learning, was held last week in Halifax, Canada. Google has historically been an active participant in KDD, and this year was no exception, with Googlers’ contributing numerous papers and participating in workshops.In addition to our overall participation, we are happy to congratulate fellow Googler Bryan Perozzi for receiving the SIGKDD 2017 Doctoral Dissertation Award, which serves to recognize excellent research by doctoral candidates in the field of data mining and knowledge discovery. This award was given in recognition of his thesis on the topic of machine learning on graphs performed at Stony Brook University, under the advisorship of Steven Skiena. Part of…
Original Post: Google at KDD’17: Graph Mining and Beyond