operation. By running programs in the operating shell that review data against a data base, these problems have been minimalized. In the real world, we are seeing an increasing prevalence of neural networks. To fully realize the potential benefits of neural networks our lives, research must be intense and global in nature. In the course of my research on this essay, I was privy to several institutions and organizations dedicated to the collaborative development of neural network expert systems. To be a success, research and development of neural networking must address societal problems of high interest and intrigue. Motivating the talents of the computing industry will be the only way we will fully realize the benefits and potential power of neural networks. There would be no support, naturally, if there was no short-term progress. Research and development of neural networks must be intensive enough to show results before interest wanes. New technology must be developed through basic research to enhance the capabilities of neural net expert systems. It is generally acknowledged that the future of neural networks depends on overcoming many technological challenges, such as data cross-talk (caused by radio frequency generation of rapid data transfer) and limited data bandwidth. Real-world applications of these "intelligent" neural network expert systems include, according to the Artificial Intelligence Center, Knowbots/Infobots and intelligent Help desks. These are primarily easily accessible entities that will host a wealth of data and advice for prospective users. Autonomous vehicles are another future application of int...
