Artificial Intelligence
Current neural network technology is the most progressive of the artificial intelligence systems today. Applications of neural networks have made the transition from laboratory curiosities to large, successful commercial applications. To enhance the security of automated financial transactions, current technologies in both speech recognition and handwriting recognition are likely ready for mass integration into financial institutions.Computer-Aided Voice Recognition 6 The purpose of this study is to determine additional areas where artificial intelligence technology may be applied for positive identifications of individuals during financial transactions, such as automated banking transactions, telephone transactions , and home banking activities. This study focuses on academic research in neur
When it does arrive, the new technology will likely be capable of recognizing human faces. This system, in which the system learns to adapt to the changing conditions, is called back-propagation. The value of Sejnowski's network is illustrated by an experiment by Richard Andersen at the Massachusetts Institute of Technology. Currently, neural network applications focus on processing data such as loan applications, and flagging possible loan risks. Impossible to achieve in expert systems, this ability to learn by example is the characteristic of neural networks that makes them best suited to simulate human behavior. The chip has circuitry that allows a professor to focus on each pixel individually or to observe the whole scene on a monitor. · Computer-Aided Voice Recognition Voice recognition is another area that has been the subject of neural network research. This technology should be implemented in automated telephone account inquiries. This paper focuses on neural network technologies which have the potential to increase security for financial transactions. Future technology breakthroughs will bring visual recognition closer to the recognition of individuals, thereby enhancing the security of automated financial transactions. · Current Research Studying the retina of the eye is the focus of research by two professors at the California Institute of Technology, Misha A. In the Sprint system the neural network positively recognizes the caller’s voice, thereby authorizing activation of his calling account. Also, expert systems are usually bound by a rigid set of inflexible rules which do not change with experience gained by trail and error. The network - rather like a child - makes up its own rules that match the data it receives to the result it’s told is correct" (42).
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Acceptance Essays
