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What’s the difference between machine learning, deep learning, big data, statistics, decision & risk analysis, probability, fuzzy logic, and all the rest? None, except for terminology. William Briggs gives a masterclass in explaining terminology currently bounding through the worlds of big data, analytics and data. Worth reading. 
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Intersting article by John Markoff on artificial neural networks and learning theorems and big data problems. Using an artificial intelligence technique inspired by theories about how the brain recognizes patterns, technology companies are reporting startling gains in fields as diverse as computer vision, speech recognition and the identification of new molecules... Click on the title to learn more.
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Health care in the United States certainly needs an overhaul. The question is whether that overhaul will come from artificially intelligent doctors. IBM has launched partnerships with insurance giant WellPoint and the Sloan-Kettering Cancer Center in New York and is expected offer Watson commercially to hospitals within the next few years. Wired article discusses the approach and pros and cons as seen by some doctors. Worth a read for a quick intro to modern AI comprising data mining and big data topics as an approach to treatment diagnostics in healthcare. Click on the image or the title to learn more.
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Interesting article in The New York Times on Jeff Hawkins (of Palm computer fame) new company Numenta. Their Grok product uses a complex artificial neuron model to build predictive analytics from sensed data. Worth reading. Click on the image or the title to learn more.
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Wired has an interesting article on mobile computing. As ARM seeks to put cell phone chips into our supercomputers, Intel is doing the reverse. The lines between the mobile hardware and data center hardware are blurring. Intel’s experimental Single-chip Cloud Computer project, or SCC is a 48 core chip acts as a “network” of processors on a single chip, with two cores per node. The nodes actually communicate to each other much the same way nodes in a cluster in a data center would. While these types of architectures are today used in big data applications that run on a server cloud environment there are actually many cases where a hybrid model would make the most sense including artificial intelligence, machine vision and augmented reality applications. Click on the image or the title to learn more.
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