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
Hello, Big Algorithms
January 15, 2016
The year had barely started and it looks lime we already have a new buzzword to nestle into our ears: big algorithms. The term algorithm has been tossed around with big data as one of the driving forces behind powerful analytics. Big data is an encompassing term that refers to privacy, security, search, analytics, organization, and more. The real power, however, lies in the algorithms. Benchtec posted the article, “Forget Big Data-It’s Time For Big Algorithms” to explain how algorithms are stealing the scene.
Data is useless unless you are able to are pull something out of it. The only way get the meat off the bone is to use algorithms. Algorithms might be the powerhouses behind big data, but they are not unique. The individual data belonging to different companies.
“However, not everyone agrees that we’ve entered some kind of age of the algorithm. Today competitive advantage is built on data, not algorithms or technology. The same ideas and tools that are available to, say, Google are freely available to everyone via open source projects like Hadoop or Google’s own TensorFlow…infrastructure can be rented by the minute, and rather inexpensively, by any company in the world. But there is one difference. Google’s data is theirs alone.”
Algorithms are ingrained in our daily lives from the apps run on smartphones to how retailers gather consumer detail. Algorithms are a massive untapped market the article says. One algorithm can be manipulated and implemented for different fields. The article, however, ends on some socially conscious message about using algorithms for good not evil. It is a good sentiment, but kind of forced here, but it does spur some thoughts about how algorithms can be used to study issues related to global epidemics, war, disease, food shortages, and the environment.
Whitney Grace, January 15, 2016
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
The Importance of Google AI
December 23, 2015
According to Business Insider, we’ve all been overlooking something crucial about Google. Writer Lucinda Shen reports, “Top Internet Analyst: There Is One Thing About Google that Everyone Is Missing.” Shen cites an observation by prominent equity analyst Carlos Kirjner. She writes:
“Kirjner, that thing [that everyone else is missing] is AI at Google. ’Nobody is paying attention to that because it is not an issue that will play out in the next few quarters, but longer term it is a big, big opportunity for them,’ he said. ‘Google’s investments in artificial intelligence, above and beyond the use of machine learning to improve character, photo, video and sound classification, could be so revolutionary and transformational to the point of raising ethical questions.’
“Even if investors and analysts haven’t been closely monitoring Google’s developments in AI, the internet giant is devoted to the project. During the company’s third-quarter earnings call, CEO Sundar Pichai told investors the company planned to integrate AI more deeply within its core business.”
Google must be confident in its AI if it is deploying it across all its products, as reported. Shen recalls that the company made waves back in November, when it released the open-source AI platform TensorFlow. Is Google’s AI research about to take the world by storm?
Cynthia Murrell, December 23, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph
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