There are varied technological subfields that fall under artificial intelligence (AI) ecosystems. The subfields include learning of machines, advanced or high level analytics and high level generation of natural language. This assignment is important in contributing towards the understanding of the various ways different artificial intelligence technologies imitate the reasoning of human as well as how they can apply the technologies on their enterprises.
Expert Systems
This is a computer system that imitates human’s expert ability of decision making. They are designed to aid in solving complex hitches through knowledge reasoning, which is represented mainly as if then, rules as opposed to conventional code of procedure.
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Natural Language Processing
Natural Language Processing belongs to artificial intelligence and computer science as well as computational linguistics fields. It deals with the relations between humans, that is, computers and natural languages. Therefore, it is linked to the field of human-computer relations.
Robotics
This is the field of computer science and engineering dealing with the creation of robots which are devices which can respond to sensory input and move. Robotics is used in industries to conduct high-demanding tasks, for instance, riveting and welding. They are also applied in exceptional situations that are perceived dangerous to humans, for instance, in the management of toxic wastes and diffusion of bombs.
Speech Understanding
Speech understanding involves mapping a specific input in the context of natural languages into representations that are useful as well as assessing varied language aspects.
Speech (Voice) Recognition
In pursuit of recognizing natural speech, it demands making the best use of the entire available sources of knowledge. Current artificial intelligence methods, mostly systems based on knowledge, can be important within this model. For instance, expert systems used in acoustic-phonetic decoding as well as interpreting phonology, and multi-knowledge cooperation sources for the available man-machine communication interpretation.
Computer Vision and Scene Recognition
These are systems that enhance as well as support the process of decision making and visual perception of humans with, let us say a driver assistance mechanism. It is achieved through the designing of computational architectures and the development of machine vision algorithms so that situations can be solved.
Intelligent Computer-Aided Instruction
This artificial intelligent incorporates three important parts. The parts entail problem solving expertise, tutoring module and student model. The student employing the form of program is provided with some data emanating from the problem solving expertise section. This is the knowledge foundation of intelligent computer aided instruction. The student reacts in some technique to the information that was offered, either by demonstrating their understanding or by answering the questions. The student system assesses the responses and makes conclusion on a course of accomplishment. Characteristically, the process entails the presentation of certain review materials and allows the student to progress to the next level of the presentation of knowledge. The tutoring system can or cannot be used at this stage, based on the student’s mastery level of the material. The model does not permit the student to progress to the next level with little mastery of the material.
Neural Computing
In computer information technology, a neural computing is a network of software and hardware patterned once the neurons operation in the brain of human. Neural networks which are also defined as artificial neural networks are diverse in-depth learning technologies. When applied on commerce, the technologies mainly aim at deriving solutions on complex signal processes and problems of pattern recognition. For instance, recognition of hand writing for processing checks, transcription of speech to text, data assessment of oil exploration, prediction of weather and recognition of face are some of the commercial applications.
Intelligent Agents
On internet platforms, intelligent agents are programs that gather data and perform certain selected services without an individual’s immediate presence mostly on specific continuous schedule. Characteristically, an agent program, employing the use of parameters an individual offers, searches throughout or selected parts of the internet, collects data of the person’s interests and presents the information to the individual on a daily or constant basis. An agent can also be referred to as a bot, the short form for robot.
Automatic Programming
Automatic programming is the production of programs from the non-procedural description of their anticipated impact in an automatic way. Thus, in the application of artificial intelligence, we define the needed action of robots, and the model produces a program which will cause the required movements to occur. In commercial setup, processing of data is defined by different documents. They include invoices, orders, and delivery notes among others as well as the link between the quantities incorporated, and the model produces the best of programs to conduct the needed processing. However, the terminology is affected by disuse.
Translation of Languages
This is the use of computational techniques for the simulation of different behavior of human intellect through manipulation and knowledge structure that is complex.
Summarizing News
This artificial intelligence uses News Finder which automates the stages incorporated in finding, categorizing, selecting and documenting news stories. The news must meet relevance method as it is intended for a community of artificial intelligence. It is a software that puts together a broad search of sources of news online with specific topic trained systems and heuristics.
All the above examples are classified as types of artificial intelligence. However, the main technologies are neural networks, fuzzy logic, experts systems and genetic algorithms.
References
Brenner, W., Zarnekow, R., & Wittig, H. (2012). Intelligent software agents: foundations and applications . Berlin: Springer Science & Business Media.
Dutta, S. (2014). Knowledge processing and applied artificial intelligence . Amsterdam: Elsevier.
Jones, M. T. (2015). Artificial Intelligence: A Systems Approach: A Systems Approach . Burlington: Jones & Bartlett Learning.
