Monday, February 22, 2016

Machine Learning News Issue 14

Welcome to the Momenta Learning News on Machine Learning. This is issue 14, please feel free to share this post.

Microsoft brings on-the-fly translations offline with the help of machine learning - GeekWire

Language barriers are pretty low in today's connected world, with many simple phrases just a web search away. But for international travelers, that search could cost them big in overseas data charges. Many translation apps allow users to store some phrases on their device, but if users don't think of a particular phrase beforehand, they're out of luck.

Google Translate Adds More Languages, Covers 99% of Users | NewsFactor Network

Google Translate Adds More Languages, Covers 99% of Users By Shirley Siluk / NewsFactor Network With its 10th anniversary approaching, Google Translate has expanded its repertoire of languages to 103, which means it can now provide machine learning-based translations to about 99 percent of the world's online population.

Google's Cloud Vision takes image recognition to the next level

Google has thrown another new AI tool into its developer's box in the form of its Cloud Vision API. The beta release of Cloud Vision, which had been available in limited preview since last December, is the latest in a flurry of AI-related announcements from Silicon Valley giants, as Google goes head to head with companies like Microsoft and IBM in a race to dominate this emerging niche.

Tesla Partner Nvidia Delves Into AI With Facebook, Alibaba

Tesla[ticker symb=TSLA] partner Nvidia[ticker symb=NVDA] forged alliances during Q4 with Facebook[ticker symb=FB] and Chinese Internet major Alibaba[ticker symb=BABA] for speedy artificial intelligence chips, Nvidia CFO Colette Kress said late Wednesday on the chipmaker's earnings conference call. And tech giants Alphabet[ticker symb=GOOGL], Microsoft[ticker symb=MSFT] and IBM[ticker symb=IBM] also are eyeing AI, she said.

Three UW professors win Presidential Early Career Award for Scientists and Engineers

Engineering | Honors and awards | News releases | Research | Science Three University of Washington professors have received the 2016 Presidential Early Career Award for Scientists and Engineers, the highest honor given by the U.S. government to early career scientists and engineers.

Layering on Machine Learning to Speed Data Transformation

There are few more widely recognized names in modern database research than Dr. Joseph Hellerstein. The Berkeley professor and Trifacta co-founder has spawned new approaches to relatively old problems on the programmatic and database design and implementation fronts.

Improving Today's Dynamic IT with Machine Learning as a Formal & Agile Approach to ITSM - Computer Technology Review

by Stephen Hart Modern IT Service Management is working pretty well, all things considered. It enables highly distributed teams, parts of which may even work for entirely different companies, to come together to support business services that rely on extremely complex software stacks - and to do it pretty effectively, at least most of the time.

Where Artificial Intelligence Is Now and What's Just Around the Corner - Singularity HUB

13,935 15 Unexpected convergent consequences...this is what happens when eight different exponential technologies all explode onto the scene at once. This post (the second of seven) is a look at artificial intelligence. Future posts will look at other tech areas.

Spark man Zaharia on 2.0 and why it's 'not that important' to upstage MapReduce

Interview Spark is the open source cluster computing system started in 2009 by Matei Zaharia, when he was but an 'umble PhD candidate at Berkeley's AMPlab. Some people hope it will become the logical successor to MapReduce. Donated to the Apache Software Foundation in 2013, Spark has been backed by IBM.

Taking Creepiness Out of Computer Voices

As machine learning and the use of artificial intelligence spread, technologists are running into questions over when A.I. can get too real - and too creepy. One area where that is increasingly cropping up is in speech that is powered by technology, John Markoff writes.

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