Through following the works of Hopfield, who has become the symbolic founding father of a very large and broad physics-based study of neural networks as dynamical systems, AI will surely continue to develop in the future.
This paper convincingly argues that intelligent machines will be intertwined in the future society, and addresses the lack of a tangible body to manage the development of computer software. The supplementary research further establishes that engineers will have increased ethical and political responsibilities in the development of artificial intelligence systems in the future.
This paper also develops a thorough picture of the study of artificial intelligence and a particular emphasis on Neural Networks and its methodology and outlines its usefulness in computing applications. In addition it explores the movement to develop strong AI systems and deals with some non-technical theoretical issues involving that development. Evidence introduced to support arguments that intelligent machines will be a part of future compelled a set of recommendations intended to guide engineers in their continued development of intelligent computer programs. The recommendations, constituting a primary product of this project, represent delicate changes in the social role of engineers; however will become increasingly important as technology grows.
Despite the fact that, the material presented has allowed the project to achieve its two major goals, namely explaining current and developing AI technologies in a way accessible to non-experts, and outlining recommendations to prepare future engineers for their growing ethical and professional responsibilities.
Table of Contents
1.5.1 Definitions of the Terms 10
2.5 Language Processing 32
2.6 AI & Machine Learning 33
Neural Networks for Information Retrieval (IR): A Methodology 77
3.3.1 A Hopfield Network Example 81
3.4 Originality & Limitation of Data 86
1.1 Statement of the Problem
Promising technologies and programming techniques raise the capability to create intelligent software programs. With the introduction of viable neural networking solutions, the people have come even closer to building artificially intelligent machines. This project outlines the impact of neural networking on the development of artificial intelligence