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Making datacenters more sustainable
Predicting ocean chemistry using Microsoft Azure
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Predicting ocean chemistry using Microsoft Azure
Introducing LiveOcean: A cloud-based predictive system from the University of Washington and Microsoft Research of ocean acidification properties that may help the shellfish industry survive changing conditions by providing forecasts about ocean water.

Microsoft Research Blog · 2 February 2016

Microsoft research project puts cloud in ocean for the first time
Microsoft researchers believe placing datacenters under water could solve several problems by introducing a new power source, greatly reducing cooling costs, closing the distance to connected populations and making it easier and faster to set them up.

Microsoft News Center · 1 February 2016

Microsoft plumbs ocean’s depths to test underwater data center
Microsoft has tested a prototype of a self-contained data center that can operate hundreds of feet below the surface of the ocean, eliminating one of the technology industry’s most expensive problems: the air-conditioning bill.

The New York Times · 31 January 2016

Microsoft is remaking its research arm to beat Google and Facebook to the next breakthrough
Besides Skype, other services that have benefited from the recent transformation include cloud productivity tools in Office, faster and more power-efficient servers running Bing, and the augmented-reality headset HoloLens.

Bloomberg Business · 25 January 2016

Microsoft releases CNTK, its open source deep learning toolkit, on GitHub
Researchers say the CNTK could be useful to anyone from deep learning startups to more established companies that are processing a lot of data in real time, and can help drive artificial intelligence breakthroughs.

Next at Microsoft Blog · 25 January 2016

Computer vision technologies enhance popular Microsoft Selfie app
Computer vision technologies ranging from face detection to visual recognition have contributed to the Microsoft Selfie app's meteoric rise in popularity, and new features include social sharing.

Inside Microsoft Research Blog · 21 January 2016

New system for CRISPR gene-editing tool will lead to faster, more effective research
Microsoft researchers Jennifer Listgarten and Nicolo Fusi helped create a machine learning system to predict which part of a gene to target when a scientist wants to knockout -- or shut off -- a gene.

Next at Microsoft Blog · 18 January 2016

Microsoft neural net shows deep learning can get way deeper
Deep learning is nowhere close to reaching its potential, but researchers are identifying new ways to build deep neural networks that can get way deeper.

WIRED · 14 January 2016

How Microsoft beat Google at understanding images with machine learning
Peter Lee and Jian Sun discuss the "ultra-deep learning" approach to successful image recognition and its potential for future applications.

TechRadar · 28 December 2015

Machines, lost in translation: The dream of universal understanding
Microsoft's Vikram Dendi discusses the importance of neural networks in Skype Translator's near-real time speech-to-speech translation in this feature about the future of machine learning.

NPR all tech considered · 24 December 2015

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