What is Fuzzy Logic, Robotics & Future of Artificial Intelligence?
This article explains what is fuzzy logic, robotics & future of artificial intelligence in detail
In this article, we will learn in short about the fuzzy logic concept and robotics in artificial intelligence. Also, check out the future scope of artificial intelligence.
Fuzzy Logic in Artificial Intelligence
The logical output is produced by fuzzy logic systems in response to uncertain, disorderly, deformed, and incomplete fuzzy inputs.
Artificially intelligent fuzzy logic is a method of problem-solving that resembles human reasoning. The strategy will be an exact reproduction of how a person would decide, and it should consider all possible solutions to the issue along with a digital output of YES or NO.
The fundamental logic system is an n-valued logic system that applies the scale of the input state and produces outputs depending on the input state and degree of change of these states. To provide a definitive output, the developer of fuzzy logic systems, therefore, incorporated all conceivable logic of inputs in the system. They support the management of uncertainty in tiny micro-controllers, car operations, electrical gadgets, etc.
Applications Of Fuzzy Logic
Fuzzy logic is used to control
How household equipment including refrigerators, air conditioners, washing machines, dishwashers, microwave ovens, hoover cleaners, etc. operate automatically or semi-automatically.
Many environmental factors, such as air purifiers and heater operations.
Operations of vehicles such as four-wheelers, racing motorcycles, and vehicles.
Operations of electronic devices including photocopiers, printers, smart TVs, digital cameras, still cameras, etc.
Robotics in Artificial Intelligence
Artificially intelligent devices known as robots exhibit real-world human behavior. Any type of robot’s primary goal is to reduce the amount of human effort required to repeatedly do a specific activity depending on the set of attributes for which they have been trained and programmed.
Mechanical engineering, electrical engineering, and computer programming are used in robotics, a branch of artificial intelligence, to build and develop robots that can think and act like intelligent machines.
Robots can travel, see, and compute their reaction using computer vision thanks to artificial intelligence. The machine learning process, which is a part of AI and is based on predetermined rules and programs, allows the robots to carry out the duties that humans give to them. Robots will be able to do their work independently and without human supervision thanks to this type of AI. As a result, autonomous humanoid robots that can perceive their environment and adapt to it were developed.
The robots, also known as industrial robots, are used for commercial reasons to carry out demanding tasks in an industrial setting. They are meant to accomplish one specific activity consistently and precisely.
Future of Artificial Intelligence
1. Self-Driven Cars
Although partially automated cars have been introduced in several nations, a driver is still required to control the automobile. As a result, there is much to learn and incorporate into automated automobiles and other vehicles before they are fully automated and driverless. The American Department of Transportation is developing the technology to turn buses, cabs, and trucks completely automated by adding artificial intelligence.
2. AI in Cybernetics Science
By combining robots and artificial intelligence, researchers are aiming to create human bodies that are stronger, more resilient, and longer-lasting. People who are physically or intellectually challenged will benefit directly from this.
3. AI in Healthcare
The WHO aims to provide patients with predictive treatment powered by AI by 2030. According to each patient’s unique lifestyle, dietary habits, age, and medical history, the predictive analysis will help the patient understand the risk of a certain disease to which he or she may be prone. It will also propose preventative actions. Additionally, this will aid in avoiding and lowering the prevalence of several widely transmitted illnesses including the seasonal flu. Many nations are also working to create AI-enabled robotic nurses that can provide patient care more effectively than humans while simultaneously lowering the rate of human mistakes.
4. AI in Education
The e-learning industry is expanding quickly, providing both students and teachers with a richer and more comprehensive experience. To allow students in faraway locations to study and communicate with professors, AI-enabled software and applications have been developed. Researchers are attempting to create AI-enabled tutors that will be on call 24/7 to assist students with their questions and offer them immediate solutions. These tutors will also be able to use online learning to instruct kids with disabilities.
5. A system that Supports Decision-Making
The fuzzy logic system can provide answers to difficult issues that are founded on non-linear, unstructured data inputs. They react more rationally and linearly than a person would to an identical question. This capability may be used to answer questions about some extremely complicated circumstances in several banking and finance-related sectors.
