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Research at Google

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The Google Brain Team (g.co/brain) is open-sourcing #TensorFlow model code for summarization research. Learn more on the Google Research blog, linked below
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Check out a Q&A where Google Anti-abuse Research Lead +Elie Bursztein discusses some of the research that goes into making Gmail safe.
How a a simple design change increased Gmail encryption use by 25%, why security questions are not your friend, and what the team does to…
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olatunji josepho's profile photoSigfredo Zamorano's profile photoMike Trieu (MegasChara)'s profile photo
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I totally need to invest in a shredder at my new place 😏
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When we released Parsey McParseface last May as part of SyntaxNet, we were already planning to expand to more languages, and it soon became clear that this was both urgent and important, because researchers were having trouble creating top notch SyntaxNet models for other languages.

Just in time for #ACL2016 , we are pleased to announce that Parsey McParseface now has 40 cousins! Parsey’s Cousins is a collection of pretrained syntactic models for 40 languages, capable of analyzing the native language of more than half of the world’s population at often unprecedented accuracy. To better address the linguistic phenomena occurring in these languages we have endowed SyntaxNet with new abilities for Text Segmentation and Morphological Analysis.
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Maggie Johnson, Director of Education and University Relations at Google, discusses the benefits of computational thinking, and how teachers can introduce it in school curriculum.
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Hey guys please fix your picture in the article! What if x+y==10? What if x+y>=20?
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Check out PRUDAQ, a open source BeagleBone cape built around the Analog Devices AD9201 ADC, which samples two inputs simultaneously at up to 20 megasamples per second per channel, making it useful for scientific applications where a built-in ADC isn't quite up to the task. Learn more on the Google Research blog, linked below.
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Kevin Clift's profile photoRodolphe D'Inca's profile photoGrzegorz Wierzowiecki's profile photoJeff Bond's profile photo
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Check out semtech +Rodolphe D'Inca I know they have them up to 64 at least ...
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Congratulations to Research Scientist David Silver (Google DeepMind) and Software Engineer Sylvain Gelly (Google Research, Europe), who received the Artificial Intelligence Journal’s 2016 Prominent Paper Award for their 2011 paper “Monte-Carlo tree search and rapid action value estimation in computer Go” (http://goo.gl/3Qq5L4).

Given at the IJCAI Conference in New York this week (http://goo.gl/GF8R7d, #IJCAI16 ), this award was given to recognize the impact of the research into augmented Monte-Carlo Tree Search algorithms (part of Sylvain's PhD thesis while at Université Paris Sud) that eventually led to the recent defeat of Go player Lee Se-dol by Google DeepMind’s AlphaGo.#
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NỘI THẤT XUÂN HÒA's profile photomurad issaoui's profile photoTùng Nguyễn T's profile photo
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Deep Learning rocks. Great to see many PhD theses that turn into products so fast
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Earlier this year, we shared some research on Deep Learning for Robots, focused on hand-eye coordination and grasping (goo.gl/vXFQJc ). Yesterday, we released the grasping and push datasets containing RGB-D views of the arm, gripper and objects, along with actuation and position parameters. Learn more at the site below.
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Reminder, we’ll be starting the #RedditAMA with the Google Brain team (g.co/brain) today at 10am PT in r/MachineLearning.
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Can you referral me meet right person who handles engineering development department at Google facility that they do create a special feature add strobe light it's for enabling Deaf and Hard of Hearing drivers improve visual on Google GPS system and improve our communication accessible better while have ready strobe light turns on flashing by automatic while sound voice from Google GPS system since hearing people already have their prioritized many years and noticed still not have special feature use strobe light for notification upgrade on Google GPS system yet.. We Deaf and Hard of Hearing drivers want be on equal the level where hearing people already have their prioritized and noticed we Deaf and Hard of Hearing Drivers didn't have special feature that caused ruin us lacking of doing the best for Uber riders and for Uber company as we still keep try improve our 5 stars rate to make us proud to meet their achievements and accomplishments also prevention from Uber riders but already gave us feedback and Uber had to deactivate on us due to poorly skill not pay enough attention on Google GPS system because of Uber riders was complaint and unpleasantly with Deaf and Hard of Hearing Uber Drivers wasn't not able to hear their voice from Google GPS system has already said ready for change direction on road but failed to change the direction on the road yet and we want be on equal the level with hearing people and still not complying ADA's law without have communication accessible on Google GPS system without have special feature because it's only have available hear voice for hearing Uber drivers they has been received highest 5 stars rating and unfair to us and why degrading on us that since we didn't get on equal the level where they already have their prioritized and we Deaf and Hard of Hearing Drivers do not have access to that Google GPS system with only have voice feature on mobile phone that we Deaf people want be on the equal of level with hearing drivers where they already have their own prioritized too. See link so you can see that example that you could make GPS add new features for Deaf and hard of hearing drivers on GPS user need add strobe light for attention change direction on road ahead down there.. https://newsroom.uber.com/us-texas/exciting-app-features-for-deaf-and-hard-of-hearing-partners/
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Got machine learning questions for the Google Brain team (g.co/brain)? Join our first #RedditAMA on r/MachineLearning tomorrow, August 11 at 10am PT
Happy to announce the [Google Brain](https://research.google.com/teams/brain/) team will be making a visit to /r/MachineLearning to do an AMA on...
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I would like to know about permanent brain damage
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Attending the 2016 Meeting of the Association for Computational Linguistics in Berlin? As a leader in Natural Language Processing (NLP) and a Platinum Sponsor of the conference, Google will be on hand at #acl2016 to showcase research interests that include syntax, semantics, discourse, conversation, multilingual modeling, sentiment analysis, question answering, summarization, and generally building better learners using labeled and unlabeled data, state-of-the-art modeling, and learning from indirect supervision.Check out our research being presented, below.
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Nice MERITOCRACY LORD RINGS
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Interested in genomics research? Sign up for a free workshop at the +Institute for Systems Biology in Seattle to learn how to leverage the resources of the ISB-CGC and +Google Cloud Platform to analyze publicly available TCGA data. 
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“...nature isn't classical, dammit, and if you want to make a simulation of nature, you'd better make it quantum mechanical...”
Richard Feynman
Simulating Physics with Computers

One of the most promising applications of quantum computing is the ability to efficiently model quantum systems in nature that are considered intractable for classical computers. In collaboration with Harvard, Lawrence Berkeley National Labs, UC Santa Barbara, Tufts University and University College London, we have performed the first completely scalable quantum simulation of a molecule. Learn more in the Google Research blog, linked below.
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Hey folks, What was the software you used?
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Introduction
Google is full of smart people working on some of the most difficult problems in computer science today. Most people know about the research activities that back our major products, such as search algorithms, systems infrastructure, machine learning, and programming languages. Those are just the tip of the iceberg; Google has a tremendous number of exciting challenges that only arise through the vast amount of data and sheer scale of systems we build.

What we discover affects the world both through better Google products and services, and through dissemination of our findings by the broader academic research community.  We value each kind of impact, and often the most successful projects achieve both.