. What are the domains of AI? Explain in detail.
Answers
Explanation:
Artificial intelligence (or AI) is basically the capability of a machine or a computer program to think and learn like a human, in short, mimicking human intelligence processes. Algorithms are created and applied into a dynamic computing environment, enabling machines to learn and make decisions with the data.
As there are many different types of AI, it can be classified into 3 main categories.
Narrow Artificial Intelligence
Also known as Weak AI, it is developed and designated for a particular task. The single task it performs is within a limited context, being excellent at routine jobs, be it physical or cognitive.
Artificial General Intelligence
Also known as AGI, it has generalized cognitive ability to analyse and decide, in which the AI provides solutions for an unfamiliar task it encounters. It can applies understanding and reasoning like how a normal human would in the specific environment.
Artificial Super Intelligence
Also known as ASI, it exceed human abilities, being be able to mimic human thoughts and achieve an accuracy higher than normal humans. ASI proves superior to humans in terms cognitive ability.
Now, AI is dependent on the tasks they carry out. It can range from simple task, to complex analytics. There are a few domains on how AI carry out their functions.
Formal Tasks- Tasks which requires logic and constraints to function.
(For eg. Mathematics, Games, verification)
Mundane tasks- Routine everyday tasks that requires common sense reasoning
(For eg. Perception, robotics, natural language, Vision, Speech)
Expert tasks- Tasks which requires high analytical and thinking skills, a job only a professionals can do
(For eg. Financial analysis, medical diagnostics, engineering, scientific analysis, consulting)
So having these types of domains, there are different types of works and information AI can interpret. Usually an AI can approach them in the following ways.
Symbolic approach is how an AI application interprets human intelligence through symbol manipulation and interpretation. Basic concepts are broken down into symbols and the AI processes them into something understandable to solve the problem. These symbols are arranged in such a way that the structures pertaining them can relate to each other. It can be through lists, hierarchies, or even networks to determine it.
Sub-symbolic approach is how an AI recognizes things or patterns without any specific knowledge. Using a connectionist system method, the AI processes a cluster of high-dimensional quantitative sensory data to determine the relevancy of each node of data and determine the output of it. It functions on limited information, gradually adjusting to finally to best fit a solution.
Statistical approach is how AI solve specific problems using mathematics as tools. The AI will gather, organize, analyze, synthesize and interpret numerical information from data and deliver measurable forumlative results. This helps retrieve important data and trends which are vital and necessary.
Answer:
Artificial intelligence is a computer system that is able to perform tasks that ordinarily require human intelligence.
Artificial intelligence systems are critical for companies that wish to extract value from data by automating and optimizing processes or producing actionable insights.
There are certain domains of artificial intelligence on which we can create our expertise
1)Machine learning
2)Deep learning
3)Robotics
4)Expert systems
5)Fuzzy logic
6)Natural language processing
7)Computer vision
mark as brain list please