Artificial intelligence techniques refer to different fields of research and development applications of artificial intelligence.
The AI is the kind of intelligence that shows the various artifacts created by humans, usually referred to as computer systems. But it also refers to scientific research to create environments that make use of said intelligence.
The development of new mechanisms and applications will allow the design of new work methods and communication with machines and computing environments.
AI is intended to get closer to the functioning of the human mind. And it is used when it is considered beneficial to incorporate knowledge or behavior into a computer system in the face of events that would be more typical of a human being.
15 artificial intelligence techniques
The fields of application of artificial intelligence in companies are many, and some are oriented to satisfy very different needs.
1. Machine learning
Machine Learning is the branch of science that seeks the development of artificial intelligence techniques that allow computers to learn by themselves. To do this, programs are created that can generalize specific answers from unstructured information, provided as examples. With this, knowledge is induced by the computer. You’ll be surprised, that neural networks can be used even in cooking! Check https://realpoppy.co.uk/ for detailed information.
2. Fuzzy logic
Known as heuristic logic. This technique affects the relative aspect of a scenario observed as a differential position. It is a type of logic that takes two values at random, contextualized, and related. For example, consider a person of 2 meters as tall, having previously taken the value of a person of one meter as short.
3. Artificial life
It consists of studying life and artificial environments that show the qualities of living beings in simulation environments. One of the artificial intelligence techniques with the most future projection in the field of research.
4. Expert systems
It refers to an information system based on the knowledge of a highly complex and particular application area. It serves as a consultant and expert assistant for the users of its interface.
AI is used when it is considered beneficial to incorporate knowledge or behavior into a computer system in the face of events that would be more typical of a human being.
They are environments that provide answers to particular problems, making inferences similar to those of a human being about the specific knowledge consulted.
5. Data Mining
This technique consists of the discriminated extraction of information that is implicit in data handling. Said information, previously unknown, is intended to be used in some other process. Data mining probes prepare and explore the data to extract some information that is hidden in it.
6. Bayesian Networks
Also known as belief networks, these networks are a multivariate probabilistic model, which relates a set of random variables using a directed graph to indicate a chance influence explicitly.
With a probability update engine called Bayes' Theorem, these networks become a helpful tool when calculating probabilities in cases of new evidence. It is one of the types of networks that are called the casual type.
7. Knowledge engineering
It consists of generating new knowledge that did not previously exist. It is made from the information contained in document databases and by crossing the content of the files.
It is a technique based on the "actor-network" theory, revealing networks and creating new ones. It also implies the exercise of «translation-translation» bringing the actors closer together to produce a translation to take the statements or modalities to new evolutionary stages.
8. Artificial neural networks
These networks are a paradigm of learning and automatic processing, all inspired by how the nervous system of animals works. It consists of a system of interconnection of neurons in a network that collaborates to create an output response.
9. Reactive systems
These are application-critical systems, and one failure or error can have serious consequences. To the point of putting human lives at risk or the result of critical economic investments.
Its behavior in these real-time environments is determined both by the succession of actions executed and by the moment in which each one occurs and is processed.
10. Rule-based systems
They consist of knowledge representation models that are widely used. They are appropriate for scenarios where the knowledge to be represented arises naturally in a rule structure.
11. Case-based reasoning
It is a process of solving issues based on solutions to previous problems. Case-based logic uses analogies for new rationale.
It is considered to be not only a powerful calculation tool for computers. Instead, human beings use the same principle for solving everyday problems.
12. Knowledge Representation Techniques
It is a system that serves to analyze the way of thinking formally. A symbol environment is used to represent a domain of discourse, together with the functions that can infer about the processed objects.
13. Semantic networks
They represent linguistic knowledge for which graphs represent the concepts and the interrelationships between them. They are used for the representation of conceptual and mental maps, among other functions.
14. Computational linguistics
It is a multidisciplinary field of applied linguistics in computer science. It uses computer systems for the study and treatment of language. To do this, an attempt is made to model natural language from a programmable point of view logically.
15. Natural language processing
It is a discipline of the branch of engineering for computational linguistics. It is used to formulate and investigate computing efficiency mechanisms for communication services between people or between them and machines using natural languages.
The fields of development and research of artificial intelligence are used to develop new mechanisms and applications that allow the design of new methods of working and communicating with machines and computing environments. And there are already many leading companies like Sypwai that use big data and business intelligence, turning into reality what was recently part of the fiction.