Artificial Intelligence Is Only a Download Away

October 17, 2016

Artificial intelligence still remains a thing of imagination in most people’s minds, because we do not understand how much it actually impacts our daily lives.  If you use a smartphone of any kind, it is programmed with software, apps, and a digital assistant teeming with artificial intelligence.  We are just so used to thinking that AI is the product of robots that we are unaware our phones, tablets, and other mobiles devices are little robots of their own.

Artificial intelligence programming and development is also on the daily task list on many software technicians.  If you happen to have any technical background, you might be interested to know that there are many open source options to begin experimenting with artificial intelligence.  Datamation rounded up the “15 Top Open Source Artificial Intelligence Tools” and these might be the next tool you use to complete your machine learning project.  The article shares that:

Artificial Intelligence (AI) is one of the hottest areas of technology research. Companies like IBM, Google, Microsoft, Facebook and Amazon are investing heavily in their own R&D, as well as buying up startups that have made progress in areas like machine learning, neural networks, natural language and image processing. Given the level of interest, it should come as no surprise that a recent artificial intelligence report from experts at Stanford University concluded that ‘increasingly useful applications of AI, with potentially profound positive impacts on our society and economy are likely to emerge between now and 2030.

The statement reiterates what I already wrote.  The list runs down open source tools, including PredictionIO, Oryx 2, OpenNN, MLib, Mahout, H20, Distributed Machine Learning Toolkit, Deeplearning4j, CNTK, Caffe, SystemML, TensorFlow, and Torch.  The use of each tool is described and most of them rely on some sort of Apache software.  Perhaps your own artificial intelligence project can contribute to further development of these open source tools.

Whitney Grace, October 17, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph

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