Google Research Blog
The latest news from Research at Google
Partnering with Tsinghua University to support education in Western China
Thursday, April 14, 2011
Posted by Aimin Zhu, China University Relations
We’re excited to announce that we’ve teamed up with
Tsinghua University
to provide educational support to five major universities in Western China:
Qinghai
,
Xinjiang
,
Guizhou
,
Ningxia
, and
Yunnan
. Together, we aim to:
Support faculty development by recognizing outstanding teachers, sponsoring published papers, and funding academic exchange and cooperation with other universities
Establish specialized curricula by creating new courses focused on advanced industrial and web technologies
Cultivate student talent by inspiring scientific and technological innovation through local activities and programs.
A ceremony held at Tsinghua today kicked off what we expect to be a long and beneficial partnership to advance educational opportunities in the region.
1 billion core-hours of computational capacity for researchers
Thursday, April 07, 2011
Posted by Dan Belov, Principal Engineer and David Konerding, Software Engineer
We’re pleased to announce a new academic research grant program:
Google Exacycle for Visiting Faculty
. Through this program, we’ll award up to 10 qualified researchers with at least 100 million core-hours each, for a total of 1 billion core-hours. The program is focused on large-scale, CPU-bound batch computations in research areas such as biomedicine, energy, finance, entertainment, and agriculture, amongst others. For example, projects developing large-scale genomic search and alignment, massively scaled Monte Carlo simulations, and sky survey image analysis could be an ideal fit.
Exacycle for Visiting Faculty expands upon our current efforts through
University Relations
to stimulate advances in science and engineering research, and awardees will participate through the
Visiting Faculty Program
. We invite full-time faculty members from universities worldwide to apply. All grantees, including those outside of the U.S., will work on-site at specific Google offices in the U.S. or abroad. The exact Google office location will be determined at the time of project selection.
We are excited to accept proposals starting today. The application deadline is 11:59 p.m. PST May 31, 2011. Applicants are encouraged to send in their proposals early as awards will be granted starting in June.
More information and details on how to apply for a Google Exacycle for Visiting Faculty grant can be found on the
Google Exacycle for Visiting Faculty website
.
Overlapping Experiment Infrastructure: More, Better, Faster Experimentation
Monday, April 04, 2011
Posted by Deirdre O'Brien and Diane Tang, Adwords Team
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-visible changes such as modiï¬cations to a user interface, but also more subtle changes such as different machine learning algorithms that might affect ranking or content selection. Our insatiable appetite for experimentation has led us to tackle the problems of how to run more experiments, how to run experiments that produce better decisions, and how to run them faster.
Google's infrastructure supports this vast experimentation by using orthogonal diversion criteria for experiments in different "layers" so that each event (e.g. a web search) can be assigned to multiple experiments. The treatment and population sample are easily specified in data files allowing for fast and accurate experiment set up. We have also developed analytical tools to do experiment sizing and a metrics dashboard which provides summarized data within hours of experiment set up. Decision making is improved by the consistency and accuracy in metrics assured by these tools. We believe that Google's experimental system and processes described in
this paper
can be generalized and applied by any entity interested in using experimentation to improve search engines and other web applications.
Ig-pay Atin-lay Oice-vay Earch-say
Friday, April 01, 2011
Posted by Martin Jansche and Alex Salcianu, Google Speech Team
As you might know,
Google Voice Search
is available in more than
two dozen languages and dialects
, making it easy to perform Google searches just by speaking into your phone.
Today it is our pleasure to announce the launch of Pig Latin Voice Search!
What is Pig Latin you may ask?
Wikipedia describes it
as a language game where, for each English word, the first consonant (or consonant cluster) is moved to the end of the word and an “ay” is affixed (for example, “pig” yields “ig-pay” and “search” yields “earch-say”).
Our Pig Latin Voice Search is even more fun than our other languages, because when you speak in Pig Latin, our speech recognizer not only recognizes your piggy speech but also translates it automagically to normal English and does a Google search.
To configure Pig Latin Voice Search in your Android phone just go to Settings, select “Voice input & output settings”, and then “Voice recognizer settings”. In the list of languages you’ll see Pig Latin. Just select it and you are ready to roll in the mud!
It also works on iPhone with the
Google Search app
. In the app, tap the Settings icon, then "Voice Search" and select Pig Latin.
Ave-hay un-fay ith-way Ig-pay Atin-lay.
Pig Latin Voice Search works on Android 2.2 (Froyo) and later Android versions. If you don't already have Google Voice Search on your Android phone, scan or tap this QR code to download it.
The list of languages and dialects now supported by Google Voice Search includes:
US English, UK English, Australian English, Indian English, South African English
Spanish from Spain, Mexico, Argentina, and Latin America
French (France), Italian, and Portuguese (Brazil)
German (Germany) and Dutch
Russian, Polish, and Czech
Turkish
Japanese, Korean, Mandarin (Mainland China and Taiwan), and Cantonese
Bahasa Indonesia and Bahasa Malaysia
Afrikaans and isiZulu
Latin
Pig Latin
Labels
accessibility
ACL
ACM
Acoustic Modeling
Adaptive Data Analysis
ads
adsense
adwords
Africa
AI
Algorithms
Android
Android Wear
API
App Engine
App Inventor
April Fools
Art
Audio
Augmented Reality
Australia
Automatic Speech Recognition
Awards
Cantonese
Chemistry
China
Chrome
Cloud Computing
Collaboration
Computational Imaging
Computational Photography
Computer Science
Computer Vision
conference
conferences
Conservation
correlate
Course Builder
crowd-sourcing
CVPR
Data Center
Data Discovery
data science
datasets
Deep Learning
DeepDream
DeepMind
distributed systems
Diversity
Earth Engine
economics
Education
Electronic Commerce and Algorithms
electronics
EMEA
EMNLP
Encryption
entities
Entity Salience
Environment
Europe
Exacycle
Expander
Faculty Institute
Faculty Summit
Flu Trends
Fusion Tables
gamification
Gboard
Gmail
Google Accelerated Science
Google Books
Google Brain
Google Cloud Platform
Google Docs
Google Drive
Google Genomics
Google Maps
Google Photos
Google Play Apps
Google Science Fair
Google Sheets
Google Translate
Google Trips
Google Voice Search
Google+
Government
grants
Graph
Graph Mining
Hardware
HCI
Health
High Dynamic Range Imaging
ICLR
ICML
ICSE
Image Annotation
Image Classification
Image Processing
Inbox
India
Information Retrieval
internationalization
Internet of Things
Interspeech
IPython
Journalism
jsm
jsm2011
K-12
KDD
Keyboard Input
Klingon
Korean
Labs
Linear Optimization
localization
Low-Light Photography
Machine Hearing
Machine Intelligence
Machine Learning
Machine Perception
Machine Translation
Magenta
MapReduce
market algorithms
Market Research
Mixed Reality
ML
MOOC
Moore's Law
Multimodal Learning
NAACL
Natural Language Processing
Natural Language Understanding
Network Management
Networks
Neural Networks
Nexus
Ngram
NIPS
NLP
On-device Learning
open source
operating systems
Optical Character Recognition
optimization
osdi
osdi10
patents
Peer Review
ph.d. fellowship
PhD Fellowship
PhotoScan
Physics
PiLab
Pixel
Policy
Professional Development
Proposals
Public Data Explorer
publication
Publications
Quantum AI
Quantum Computing
renewable energy
Research
Research Awards
resource optimization
Robotics
schema.org
Search
search ads
Security and Privacy
Semantic Models
Semi-supervised Learning
SIGCOMM
SIGMOD
Site Reliability Engineering
Social Networks
Software
Speech
Speech Recognition
statistics
Structured Data
Style Transfer
Supervised Learning
Systems
TensorBoard
TensorFlow
TPU
Translate
trends
TTS
TV
UI
University Relations
UNIX
User Experience
video
Video Analysis
Virtual Reality
Vision Research
Visiting Faculty
Visualization
VLDB
Voice Search
Wiki
wikipedia
WWW
YouTube
Archive
2018
May
Apr
Mar
Feb
Jan
2017
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2016
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2015
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2014
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2013
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2012
Dec
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2011
Dec
Nov
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2010
Dec
Nov
Oct
Sep
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2009
Dec
Nov
Aug
Jul
Jun
May
Apr
Mar
Feb
Jan
2008
Dec
Nov
Oct
Sep
Jul
May
Apr
Mar
Feb
2007
Oct
Sep
Aug
Jul
Jun
Feb
2006
Dec
Nov
Sep
Aug
Jul
Jun
Apr
Mar
Feb
Feed
Google
on
Follow @googleresearch
Give us feedback in our
Product Forums
.