Computational Intelligence and its Applications.

In the modern world, there is a huge impact of technology in our day to day activities. Smart devices have become a part of us, and life becomes very complicated at times without these devices. The concepts of artificial intelligence have become intriguing, and many of us are showing keen interest in the same. In this article, let us try to understand computational intelligence and what are its applications in day to day life.

Computational Intelligence: It is a process of computing which gives approximate solutions to complex problems. Therefore, it is useful to find solutions for problems which are very time-consuming and move forward. It is also referred to as a synonym to “Soft Computing.” In a vast perspective, it represents the branch of science and engineering concerned with making computers behave like humans.

The main principles of computer intelligence: There are five main important concepts of computer intelligence. Lets us learn them on by one.

1. Fuzzy Logic: In simple terms, Fuzzy logic algorithm helps to solve a problem after considering all available data. Then it takes the best possible decision for the given input.
2. Neural networks: In simple terms, the neural network is a series of algorithms that tries to recognize relationships in a set of data through a process that imitates the way of a human brain.
3. Evolutionary computation: In evolutionary computation, the process of natural evolution (formulated by Charles Darwin) is used as a role model for a strategy for finding optimal or near-optimal solutions for a given problem.
4. Learning theory: This can be used to bring reasoning of a computer to “Human reasoning level.”In psychology, learning is the process of bringing together cognitive, emotional and environmental effects and experiences to acquire, enhance or change knowledge, skills, values and world views.
5. Probabilistic methods: Probabilistic methods bring out the possible solutions to a reasoning problem, based on prior knowledge. aim to evaluate the outcomes of a Computation Intelligent system, mostly by randomness.

Applications of computational intelligence: The applications are as follows.

1. Medical: The computer in this has precise moments, more accurate than a surgeon’s hands, which might increase the difficulty in performing procedures under high power microscopic magnification. Examples of such procedures now being performed that was extremely difficult if not impossible before this technology is fallopian tube repair in women, microsurgery on the fetus, and minimally invasive coronary bypass surgery.
2. Farming: For conventional row farming, where machines such as harvesters and combines are being used for a long time. Using the methods of computational intelligence, German tractor maker Fendt has developed a radio-and-GPS system that allows a driverless tractor to follow the lead of an operated one as they make their way around the fields, doubling the output.
3. Industries: The growing sophistication of sensors will make the interaction between mechanical and live workers safe and feasible. Robots such as Baxter, from Rethink Robotics, can work side by side with humans, rather than in areas. Employees will continue to perform tasks that require human judgment, while mechanical helpers take on functions that require endurance or involve hazards such as heat, cold and exposure to chemicals. Robots will lift and move heavy objects.
4. Food Preparation: Food processing is open to robotic replacement. Scientists at the Georgia Tech Research Institute are developing a robotic system that can debone a chicken. With a 3-D vision system, the robot can adapt to different sizes of birds. It uses a feedback system to sense the junction of ligament and bone, thereby reducing the hazard of bone chips.
5. Class Rooms: Humanoid robots will go to the head of the class, taking telelearning to new frontiers. For example, English instruction is in high demand in Asian countries such as South Korea. Enter Engkey, a robot developed by South Korea’s Center for Intelligent Robotics. Engkey teaches elementary school students pronunciation (and sings and dances). Human teachers in the classroom help facilitate Engkey’s interactions. In the Philippines, Engkey’s voice and motions are driven by a native speaker of English. The robot costs are substantially less than paying native English teachers to live and work in South Korea.
6. Military: The four-legged “mule” easily negotiates rocks and divots in the road and field. It is intended to follow a military unit of soldiers autonomously, catching up with the unit on field forays with supplies and allowing them to recharge batteries from its onboard power source. In the field, it’s surprisingly quiet an important characteristic on a secret mission. Future versions of the pack mule will be able to interpret verbal and visual commands.
7. Space Exploration: The research in robots exploring space has made a serious and positive inroad exploration of space. The major problems of human loss in space, higher temperatures, zero gravity has come to an end by using robots in space exploration. Therefore the invention of robots in space exploration not only gave safety but also accelerated the work to the maximum possible extent.