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Research at Google
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Research at Google

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Today, we’re making the latest version of our image captioning system available as an open source model in #TensorFlow . This release contains significant improvements to the computer vision component of the captioning system, is much faster to train, and produces more detailed and accurate descriptions compared to the original system. Learn more in the link below!
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Anything on recognising emotions in an image? Human emotions to start with?
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Check out a recap of the 2016 Google Earth Engine Users Summit, a three-day hands-on technical workshop for scientists and students interested in using Google Earth Engine for planetary-scale cloud-based geospatial analysis. Included are links to the presentations, showing how researchers are using Google Earth Engine to turn pixels into insights.
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I'd like to see that in my favourite flight simulator, the experience must be extraordinary.
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In 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 eighth year, our Fellowships have helped support over 250 graduate students 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 first annual Global PhD Fellowship Summit. Learn more on the Google Research Blog below.
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On the heels of yesterday's release of TF-Slim (goo.gl/72ihqC ) comes the release of Inception-ResNet-v2, a convolutional neural network (CNN) that achieves a new state of the art in terms of accuracy on the ILSVRC image classification benchmark.

Learn more in the blog post below, and in the paper Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning (goo.gl/pffwqF)
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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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Researchatgoogle
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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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I totally need to invest in a shredder at my new place 😏
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Yesterday, we announced Google Trips, a new app to assist you in your travels by helping you create your own “perfect day” in a city (goo.gl/G2VbkR). Today on the Google Research blog, we go deep inside Google Trips, where there is an algorithm that was invented 280 years ago!
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resoltado da copa dp brasil 
 ·  Translate
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Check out some research from #VLDB2016  which explores how social networks can provide better friend suggestions by independently analyzing "ego-net" structure.
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Research on the pan African institute
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The principal investigators of the ICGC-TCGA DREAM Somatic Mutation Calling Challenges are encouraging cancer researchers to make use of Docker and +Google Cloud Platform to gain a deeper understanding of the complex genetic mutations that occur in cancer, while doing so in a reproducible way. Learn more in the link below.
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flow tensor has improved
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Last year, the Google Brain Team (g.co/brain) announced the launch of the Google Brain Residency Program. The response has been overwhelmingly positive and the Google Brain Team welcomed their first cohort of 27 Residents in June this year!

The team is once again excited to announce that the program will reopen the application for 2017! To learn more, check out g.co/brainresidency. Applications officially open this Thursday, September 1st.

As part of the open application, there will be a YouTube Live event with +Jeff Dean, who will be discussing the Google Brain Residency Program and also touch on some of the exciting work being done in the Google Brain team. You can also participate and post questions in real-time via the live chat module. Moderators will be online and available to help answer questions that roll in during the event.

To attend the event, simply visit goo.gl/KvDkS7 at 3pm PDT on Thursday, September 1st. Can’t make the event and have a question about the program? Please email brain-residency@google.com. We hope you can join us!
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Earlier this year, we released a #TensorFlow implementation of a state-of-the-art image classification model known as Inception-V3. The Inception-V3 model was built on an experimental TensorFlow library called TF-Slim, a lightweight package for defining, training and evaluating models in TensorFlow.

Today, we are proud to share the latest release of TF-Slim with the TF community. Learn more at the link below.
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Ways up
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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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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.