Wednesday, February 3, 2016

Machine Learning News Issue 4

Welcome to the Momenta Learning News on Machine Learning. This is issue 4, please feel free to share this post.

The Importance of Economists in Technology Companies

Why do technology companies hire economists, and what is their contribution? What kinds of problems do they work on? originally appeared on Quora - the knowledge sharing network where compelling questions are answered by people with unique insights.

Google aims to make smartphones that learn, understand the world around them

Google is partnering with Movidius, a smartphone chip designer, to put machine learning technology in mobile devices. This tech could eventually allow smartphones to understand images, speech, and written words - and to solve problems on their own. Last October, Google CEO Sundar Pichai spoke about what machine learning means for Google.

Machine Learning and Open Development Have a Bright Future Together

by Sam Dean - Jan. 29, 2016 Comments (0) Recently, OStatic caught up with Oleg Rogynskyy, who is shown here, VP of Marketing & Growth at H2O, for an interview. He detailed the renaissance going on in machine learning, and noted that open source trends are helping to drive the space forward.

Legal Technology And Innovation: Ediscovery, Machine Learning, And Transactional Practice, Oh My!

Yesterday I discussed technology and innovation in the legal profession, offering some big-picture insights from the Thomson Reuters Innovation Summit that took place here in New York on Wednesday. In today's follow-up post, I'll offer a more granular view of innovation in legal tech, focusing on specific products discussed by TR at the Summit.

How messaging bots will change workplace productivity

It's a familiar story to perhaps every knowledge worker suffering software fatigue and frustrated by the inefficient task of switching between different applications to manage information and collaborate with colleagues. Work is perhaps the one place where "there's an app for that" is viewed as burden rather than a bastion of efficiency.

Learning to solve

From developing smart 3-D scanners, to refining desalination techniques, to designing football helmets that can prevent concussions - undergraduates across the School of Engineering are midway through the year-long research projects that are part of the Advanced Undergraduate Research Opportunities Program, or SuperUROP.

The Emergence of Deep and Machine Learning

magine a host of products that can incorporate such applications as superb and accurate language translation from multiple platforms, forecast weather with pinpoint accuracy and learn chess within 72 hours - and play at the Master level.

Bionik Laboratories to Utilize Machine Learning and Analytics to Improve Neurological Rehabilitation

Working with IBM, development of cognitive computing analytical system for ARKE™ rehabilitation expected to be completed in the next year - , Feb. 1, 2016 /PRNewswire/ -- Bionik Laboratories Corp.

Why your favorite apps are designed to addict you

When marketers decide how to spend their advertising money online, a few stats are crucial. First, usage time-how much time a user spends on an app, and second, frequency of use-how often users check said network or app.

Davos 2016 -- Time To Learn About Learning?

As an educator I am fascinated by the way that learning will be re-shaped over the coming decades. Here are some of the far-reaching questions debated at Davos this year and the experiments discussed. Shouldn't Craft-based Apprenticeship Be Encouraged? Historically the returns to higher education have been significant: Graduates have earned [...]

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