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About History Projects Contact What is MSR? MSR is a group of technical experts who take on projects that require special talent and &ldquo;out of the box&rdquo; thinking. What are the areas of expertise? Telecommunications Design Voice and Data Networking Power Systems Packaging Systems Architecture Packet Network Architecture Expert Witness Testimony Intellectual Property Patent Analysis Fluid Network Technology Data Neural Network Technology Introduction to Data Neural Networks I am writing this paper to show the advantages of combining two important networks: a data network and a neural network. Data networks have been with us for decades, but now have evolved into the Internet with global connectivity. Packet data networks now carry virtually all forms of communications and can operate in excess of ten gigabits per second. Neural networks have been with us since the dawn of time, and each of us has one attached to our bodies. Neural networks, however, have several limitations: In our bodies, at the cellular level, there is a limit to the number of neurons that can communicate with any given neuron. The limitation occurs because each neuron must directly connect to each neuron with which it needs to communicate. Also neural networks are very slow as they operate at the cellular level. People have been experimenting with artificial neural networks, but for the most part, they are analog and use special purpose components making them slow, expensive, and low density. Data networks are very fast, but have no intelligence, are easily hacked, and require armies of knowledgeable workers to keep them set up and operating efficiently. A Data Neural Network (DNN), on the other hand, has the advantages of high speed, high density, low power consumption, low cost, is self routing, and is a neural network. 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