Google AI Blog: February 2012

Announcing Google-hosted workshop videos from NIPS 2011

Thursday, February 23, 2012

Posted by John Blitzer and Douglas Eck, Google Research25th Neural Information Processing Systems (NIPS)NIPS 2011 blog postYouTube Tech Talks Channel

Big Learning: Algorithms, Systems, and Tools for Learning at Scale by Joseph Gonzalez, Sameer Singh, Graham Taylor, James Bergstra, Alice Zheng, Misha Bilenko, Yucheng Low, Yoshua Bengio, Michael Franklin, Carlos Guestrin, Andrew McCallum, Alexander Smola, Michael Jordan, Sugato Basu (Googler)

Domain Adaptation Workshop: Theory and Application by John Blitzer, Corinna Cortes, Afshin Rostamizadeh (all Googlers)

Learning Semantics by Antoine Bordes, Jason Weston (Googler), Ronan Collobert, Leon Bottou

Sparse Representation and Low-rank Approximation by Ameet Talwalkar, Lester Mackey, Mehryar Mohri (Googler), Michael Mahoney, Francis Bach, Mike Davies, Remi Gribonval, Guillaume Obozinski

International Workshop on Music and Machine Learning: Learning from Musical Structure by Rafael Ramirez, Darrell Conklin, Douglas Eck (Googler), Ryan Rifkin (Googler)

The Domain AdaptationMachine Learning and MusicIntegrating Language and VisionDeep Learning and Unsupervised Feature Learning

2011 EMEA Android Educational Outreach Program Awards Mobile Phones to Universities

Wednesday, February 22, 2012

Posted by David Harper, Head of University Relations, EMEA

George Candea, EPFL (Switzerland): The Pocket Campus, an application that helps students, graduates, staff and visitors to find their way around the EPFL campus was created as a course project. After the course, some of the students decided to continue development of the application. It has become so successful that it’s now EPFL’s campus-wide smartphone app.

Andrew Rice, University of Cambridge (United Kingdom): Students in the summer programme developed Learn!, a flashcard-based learning application that is available in Android Market. This project investigated how one might incorporate features of modern phones such as multimedia capture and playback, data communications and significant computation power into a learning application.

Alan Smeaton and colleagues, Dublin City University (Ireland): Undergraduate, master’s, and PhD students embarked on a wide variety of projects, which included lifelogging (recording everyday activities using the phone); measuring the strengths of wireless networks as an aid to mapping wireless propagation; and interface design for an augmented reality application.

Nicolae Tapus, University Politehnica of Bucharest (Romania): Numerous applications were developed by students, including: TaxiFinder, an application that finds the closest taxi number with the lowest price, and Viewlity, an augmented reality engine for showing nearby points of interest (e.g., gas stations, restaurants, ATMs, places of worship) on an Android phone.

Gerhard Tröster, ETH Zurich (Switzerland): Martin Wirz and his team are using mobile phones to conduct research in the field of wearable computing and machine learning. The devices are used to collect all kinds of sensor information (e.g., accelerometer, magnetometer, microphone, GPS) to infer personal activities, psychological behaviors and social phenomena.