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A step closer to Quantum Computation

One of the primary challenges in building a quantum computer is creating a robust error-prevention system for the information stored in quantum memory elements (“qubits”). 

Unlike a bit in a classical computer, one can’t just check the information stored in a qubit directly -- doing so will collapse the entanglement and superposition states, removing the quantum properties that make it useful for computation. 

Today in the journal Nature , researchers report on a nine qubit quantum circuit where, through a carefully choreographed series of logic operations, the qubits are able to detect and effectively protect each other from bit errors.

Want to learn more about how quantum error correction (QEC) pulls out just enough information to detect errors without altering the information in any individual qubit? Head over to the Google Research blog!
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Hugo Vieilledent's profile photoRafael Vargas's profile photoAshir Bhalla-Levine's profile photoSuthat Ronglong's profile photo
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Yeah you can have a shinny new car and still have a shit driver, hardware and code problems; timeless!   GOOD LUCK with the new hardware, watch out for the lazy code.
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A heartfelt thank you to Leonard Nimoy, for a lifetime of inspiration. To boldy go....   #LLAP  
Mr. Nimoy won a worshipful global following as Mr. Spock, the resolutely logical human-Vulcan first officer in the television and movie juggernaut “Star Trek.”
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You will be miss... RIP
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Shall we play a game?

Researchers at DeepMind have published a paper in the journal Nature wherein they describe a novel algorithm, called a deep Q-network (DQN), that can learn to excel at a wide variety of classic Atari 2600 videogames — everything from side-scrolling shooters to boxing to 3D car racing — using only the raw screen pixels, a set of available actions and game score as input. 

By using a neurobiologically inspired mechanism, termed experience replay, DQN performed at more than 75% of the level of a professional human player in more than half of the 49 games tested, sometimes even developing long-term strategies for success. Head over to the Google Research blog to learn more about the Machine Learning framework that made this possible.
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Whoa. This is awesome!
I've always wanted to do something like this!
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The Google PhD Fellowship program recognizes and supports outstanding graduate students doing exceptional work in Computer Science and related disciplines. We’ve seen past recipients add depth and breadth to CS by developing new ideas and research directions, from building new intelligence models to changing the way in which we interact with computers to advancing into faculty positions, where they go on to train the next generation of researchers.  

Head over to the Research blog linked below to see the recipients of the 2015 US/Canada Google PhD Fellowship. We offer our congratulations, and look forward to their future contributions to the research community with high expectations.
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Thanks for sharing +Research at Google 
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"Lick Observatory has been making important discoveries while training generations of scientists for more than 100 years. Google is proud to support their efforts in 2015 to bring hands-on astronomical experiences to students and the public."
-+Chris DiBona, Google Director of Open Source and Science Outreach
Google Inc. has given $1 million to the UC’s Lick Observatory in what astronomer Alex Filippenko hopes is the first of many private gifts to support an invaluable teaching and research resource for the state.The unrestricted funds, spread over two years, will go toward general expenses, augmenting the $1.5 million the UC Office of the President gives annually to operate the mountaintop observatory for the 10-campus UC system.
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Google is love Google is life
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The Internet of Things (IoT) presents many opportunities for future products and services by conjuring a vision of “anytime, any place” connectivity for all things. There is still much work to be done in the development of an open standard for interconnected and heterogeneous systems, and we look forward to working with academic partners to find out what is possible. 
Can Google's new grant program clean up a notoriously messy new category of technologies and devices?
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Just FYI, its Amin Vahdat, not Dhadat.
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Discovering new treatments for human diseases is an immensely complicated challenge, often taking years of research in sophisticated labs and at significant expense. Virtual drug screening augments this process by using computational methods to improve the speed or success rate of drug discovery, but often looks at only one disease at a time.

In collaboration with researchers at Stanford University, Googlers +Patrick Riley, +Dale Webster, and +David Konerding have published a paper titled “Massively Multitask Networks for Drug Discovery” (http://goo.gl/XkFDdU), investigating how the amount and diversity of screening data from a variety of different diseases with very different biological processes can be used to improve overall virtual drug screening predictions.

Head over to the Research blog to learn more.
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Gibran Fuentes Pineda's profile photoShang Heng Wei's profile photoSuthat Ronglong's profile photoCarl Turechek's profile photo
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Once upon a time a health care worker told me that with out a stool sample you have no clue what is wrong, with most  people because, poor nutrition is a leading factor in most illness.  Remember do not confuse emergency surgery for the treatment of illness.   Is Google going to post up some stool code for physicians?
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Go inside DeepMind

Want to get a glimpse of the research behind yesterday's DeepMind publication (goo.gl/wYRwNV)? Check out the nature video interview with DeepMind founder Demis Hassabis, and two of the paper authors, Volodymyr Minh and +koray kavukcuoglu, to find out more about how the DQN algorithm works.
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nice modest discussion -- working on recent advancements in upcoming article in new blog -- will likely link to paper and/or video. - mm
http://www.computerworld.com/blog/ai-applied/
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We have just completed another round of the Google Faculty Research Awards, our biannual open call for research proposals on Computer Science and related topics. The awards cover tuition for a graduate student and provide both faculty and students the opportunity to work directly with Google researchers and engineers.

Head over to the Research blog to see the recipients of this round’s awards. If you are interested in applying for the next round (deadline is April 15), please visit http://goo.gl/ZVXPdi for more information.
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Yes 
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The  Electronic Library website of the Moscow Institute of Physics and Technology (http://goo.gl/bb3Ku0) has a CAPTCHA that is a little more challenging than most. Care to take a crack at it?  Or you could just cross that bridge when you get to it...
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Danila Shikulin's profile photoSunny Anderson's profile photoCaitlin McCollister's profile photoGeorge McCollister's profile photo
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transform one of the Δ to Y. And then trivial. http://en.wikipedia.org/wiki/Y-%CE%94_transform
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Introducing Spot

Boston Dynamics (http://goo.gl/fMZcMt) has released a video showcasing Spot, a 160 lb. four-legged electrically powered and hydraulically actuated robot designed to navigate both indoor and outdoor environments. See Spot run, climb, and thwart a few attempts at being knocked over all while using onboard sensors to negotiate rough terrain.
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José Inestroza's profile photo王凯's profile photoHelen Anita's profile photoElizabeth Bonilla's profile photo
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Estoy impresionada. Las películas de ciencia ficción se están haciendo realidad. Solo espero que la parte donde somos dominados y exclavizados por los robots o los que manejan los robots no se haga realidad. Uds están haciendo un excelente trabajo. Felicitaciones! 👾
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Help Improve Global Forest Watch

In February of last year Global Forest Watch was launched (http://goo.gl/265xQN), an online monitoring system created by the World Resources Institute, Google and a group of more than 40 partners that provides interactive maps that show global changes in forest cover.

In addition to many improvements to the platform over the past year, Global Forest Watch is asking for your feedback on how it can be further improved. Head over to the Global Forest Watch blog (linked below) to learn about some of the latest updates, and contribute ideas on how it can be made even more useful.
By Crystal Davis, Alyssa Barrett, and Sarah Alix Mann. Global Forest Watch is changing how people see forests. GFW launched nearly one year ago, captivating the world with interactive maps showing the startling disappearance of forests over time. Now anyone with an internet connection can use ...
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Sent from my Samsung Galaxy Tab®4


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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.