Building Intelligent .NET Applications Agents, Data Mining, Rule-Based Systems, and Speech Processing

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Building Intelligent .NET Applications Agents, Data Mining, Rule-Based Systems, and Speech Processing

Building Intelligent .NET Applications Agents, Data Mining, Rule-Based Systems, and Speech Processing

Artificial Intelligence (AI) has been around almost as long as computers. It was first introduced in the 1950s, and many scientists soon developed unrealistic expectations surrounding it. Throughout the past fifty years there have been as many advances as disappointments. Most people do not realize that AI-based technologies are being utilized every day. This is because once a technology becomes mainstream, it is generally no longer considered to be AI-related.


Take the things we associate with intelligence—speaking, writing, thinking; these are actually some of the easiest forms for AI to reproduce. The real beauty of our intelligence is that, while not easily seen, it exists deep inside every living cell that performs a specific function. No individual cell is smart enough to function alone. Instead, humans are a complicated network of cells that carry the blueprints for all other cells.

AI is not an all-or-nothing situation. It achieves success through an incredible number of baby steps. The fact that we are not yet able to build a being like Data in Star Trek does not mean we cannot create some very usable applications in our professional lives. Baby steps have already been taken in the form of technological advancements, including optical character recognition (OCR), speech recognition, digital encoding of pictures and data, and smaller, faster computers. All of these are helping to pave the way for AI-based applications.

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