Monday, March 7, 2016

Machine Learning News Issue 19

Welcome to the Momenta Learning News on Machine Learning. This is issue 19, please feel free to share this post.

An Experimental Quasi-Glossary Of Simulations Plus, Machine Learning And Biology

So I'm researching fiber optics companies which means every three seconds I'm googling "wavelength selective switch", and then googling some more because nowadays Wikipedia seems to be written by and for technical specialists, and eventually I come across a source that says something like: "a variable color filter."

Google is quietly building a much smarter email app

Google / Skye Gould / Tech Insider There are more ways to communicate online than ever before. Yet millions of people still use email to interact with one another. You may use Slack to talk with work colleagues and Facebook Messenger to chat with friends, but chances are you still go - often begrudgingly - back to your email inbox throughout the day.

Actually, Trump Isn't The Biggest Threat To Our Electoral System

Enjoy the craziness of election season while you can: In the future, computers could become so adept at molding your behavior that you won't really choose who you vote for anymore. At least, that's what one robotics expert at Carnegie Mellon University fears.

How much security can you turn over to AI?

It's not always easy to know when you're under attack, or when your security has already been breached. If you're capable of detecting a breach, you might find it in as few as 10 days, but survey after survey finds that breaches that are detected by someone outside the business typically take over 100 days to find.

Using Machines to Smooth Out Insurance Processes

Anyone in the industry is familiar with the need to constantly scrutinize and update business processes, and that it's a job that never stops. We're still, in many ways, living in the wake of the great process re-engineering binge of the late 1980s and early 1990s, when companies tried to identify and tear down all the obstacles they've been throwing up in front of customers and employee productivity.

Shale companies turn to machines to crunch their drilling data

Before it was cool - a full two decades before Range Resources Corp. began seasoning its corporate presentations with terms like "machine learning" and "neural networks" - West Virginia University professor Shahab Mohaghegh became obsessed with the industry's big data. He started studying how machines could process data generated during oil and gas production, and learn to spot patterns.

Dell, Zebra Medical offer machine learning algorithms for medical image analysis

In the latest effort aimed at better management and analysis of medical images, Israel's Zebra Medical Vision and Dell Services are collaborating to offer algorithm-based image analysis for healthcare providers. Dell CEO Michael Dell For its part, Dell Services already has more than 1,100 healthcare providers that use its cloud archive services for their medical services.

'Machine Learning' applications, the emerging field of study - PaGaLGuY

Indian Institute of Technology, Gandhinagar - 'Machine Learning' applications, the emerging field of study - Arthur Samuel, a pioneer in the field of machine learning, computer gaming and artificial intelligence, defined machine learning (ML) as 'The field of study that gives computers the ability to learn without being explici

Cyber Analytics Gets a Networking Twist

High-profile cyber attacks and massive data breaches have spawned a growing list of proposed defenses that are increasingly relying on machine learning and other AI applications along with analytics to detect and stop attacks as they unfold. Emerging cyber analytics also strived to provide nervous enterprises with "behavioral intelligence" about anomalies via tools like network monitoring that might uncover increasingly worrisome insider attacks.

How the Big 4 Cloud Providers Approach Machine Learning as a Service - DATAVERSITY

by Angela Guess Serdar Yegulalp recently wrote in InfoWorld, "For any cloud to be taken seriously, it has to meet an ever rising bar of features. Machine learning seems to be on that list, as all the major cloud providers now feature it. But how they go about doing it is another story.

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