Importance of Artificial Intelligence

Importance of Artificial Intelligence

Artificial Intelligence is important because it gives us the ability to create a never ending thought process and collectively this could solve those problems which were difficult to solve before the existence of artificial intelligence. No matter how complex the problem is artificial intelligence provides every possible solution to that problem. Although now we are limited in numbers who can perform this but with the artificial intelligence, we can build thousands of computers (AI) that could all work in unison to solve our greatest and most dire problems. One of the many examples is global warming. Whether we are responsible for this or not, the temperature goes on increasing and we need a way or an idea to slow down the process. For this, we need artificial intelligence which will solve this problem sooner or later. Artificial intelligence can solve the problems much faster than the humans could solve.

Artificial Intelligence is about making machines intelligent.The implications and benefits of understanding the brain are many. In addition to the advances in the treatment of brain injuries and diseases and advancements in communications technology and computer simulations, understanding the brain will allow the design of intelligent machines with even more significant impacts of the society. Already the machines that computer, perform voice or facial recognition, respond to human prompts, and sense and monitor human activity are routine in today’s society. The future capabilities of these machines like the limits and extremes of their “intelligence” and their ability to replicate the human thinking depend on the engineer's insight into human intelligence and the workings of the human brain. One example of artificial intelligence is the computers that try to appear more human in what they can do.

Intelligence defines the capability of a system to achieve a goal or sustain the desired behavior under conditions of uncertainty. The intelligent systems have to cope up with the following source of uncertainty:

• The occurrence of unexpected events such as an unpredictable change in the world in which the system operates (e.g., the occurrence of a fault, a change in order priority or a late modification of design specification).
• An incomplete, inconsistent or unreliable information available to the system for the purpose of deciding what to do next. This uncertainty may be caused by the speed at which unexpected events occur (e.g., a brief appearance of an intruder’s face within the viewing range of a security camera) or by inadequate data presented to the system (e.g., fuzzy user requirements).

Intelligent systems (AI) plays an increasingly important role in engineering due to the fundamental changes in economic conditions and rapid development of AI technology. Occasional doubts that are expressed about the long term future of AI are misplaced. Consider the following argument.
The markets for engineering products and services are now global rather than national or regional. As new countries and new engineering, organisations join in and keen to gain an increased market share they create a large surplus of supply over demand. As a result, the nature of demand changes. In order to survive and prosper in the new economic climate, the vendors make an effort to reduce the concept-to-market lead times and design the products and services to match the requirements and the expectations of customers in identifiable market segments as closely as possible. This requires flexible decision support systems and flexible machines that are capable of achieving goals under conditions of perpetual change. The trend is clearly from the automation and the proto-intelligent systems towards flexibility provided by the intelligent machines and intelligent engineering decision support. The trend is particularly strong in the design of machines and vehicles where digital technology coupled with fuzzy logic is steadily replacing mechanical engineering components as exemplified by active suspensions, intelligent engine management systems, intelligent navigation systems and the like.

References:

1. Elaine Rich, Kevin Knight 1991, "Artificial Intelligence".
2. Nilsson, Nils J. Principles of Artificial Intelligence, Narosa Publishing House New Delhi, 1998.
3. Norvis, Peter & Russel, Stuart Artificial Intelligence: A modern Approach, Prentice Hall, NJ, 1995
4. Patterson, Dan W. Introduction to Artificial Intelligence and Expert Systems, Prentice Hall of India Private Limited New Delhi, 1998