Category: Artificial Intelligence
A quick-and-dirty way to predict human behavior
On February 16, 2018 by IleneMachine learning and AI technologies are everywhere. One of the top uses is to predict human behavior. Luckily, people are creatures of habit. Moreover, when given the freedom to do anything they want, most people will do what everyone else is doing (I’m paraphrasing a badly remembered quote). That makes is kind of easy to
IDG Contributor Network: How AI will rewrite the rules for creating and acquiring content
On November 16, 2017 by IleneA mere five years ago, an OTT service could have one successful show that carried all the rest of the content on its platform. With today’s saturated OTT market, every piece of content that a business invests in needs to be successful (read: profitable). Previously, we’ve praised understanding viewers. And while understanding viewer preferences is
AI is taking photo enhancement to new extremes
On November 6, 2017 by IleneSingle image super-resolution (SISR) is an emerging technology that uses automated texture synthesis to enhance dithered and blurry photos to nearly pristine resolution. This example from EnhanceNet-PAT shows one type. There’s even a free website called Let’s Enhance where you can up-res your own images. The image above compares the three options they currently have
11 open source tools to make the most of machine learning
On October 6, 2017 by IleneVenerable Shogun was created in 1999 and written in C++, but can be used with Java, Python, C#, Ruby, R, Lua, Octave, and Matlab. The latest version, 6.0.0, adds native support for Microsoft Windows and the Scala language. Though popular and wide-ranging, Shogun has competition. Another C++-based machine learning library, Mlpack, has been around only since 2011,
Bossie Awards 2017: The best machine learning tools
On September 29, 2017 by IleneCore ML is Apple’s framework for integrating trained machine learning models into an iOS or MacOS app. Core ML supports Apple’s Vision framework for image analysis, Foundation framework for natural language processing, and GameplayKit framework for evaluating learned decision trees. Currently, Core ML cannot train models itself, and the only trained models available from Apple
What are the real risks we humans could face from a rogue AI superintelligence?
On September 21, 2017 by IleneTo hear a wide-ranging interview about the real-world risks we humans could face from a rogue superintelligence, hit play, below. My guest is author and documentary filmmaker James Barrat. Barrat’s 2014 book Our Final Invention was the gateway drug that ushered me into the narcotic realm of contemplating super AI risk. So it’s on first-hand
13 frameworks for mastering machine learning
On August 17, 2017 by IleneH2O, now in its third major revision, provides access to machine learning algorithms by way of common development environments (Python, Java, Scala, R), big data systems (Hadoop, Spark), and data sources (HDFS, S3, SQL, NoSQL). H2O is meant to be used as an end-to-end solution for gathering data, building models, and serving predictions. For instance,
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