What is AI – Artificial Intelligent
It is a computer or machine capable of doing complex tasks such as reasoning, making decision, solving problem and so and so forth. To make a machine to do all these kind of tasks, it is necessary to instruct or given a lot of learning skills that could make the machine to do different task.
Where Exactly AI Applied?
Artificial intelligence will transform everything that we are doing today, In today world AI play a great role in all types of activity like Medical, Military, Education, Service Sectors, and more and more are also coming or on the way to engage machine to be part of our daily life.
Type of AI branches
AI has got the following top 7 main branches
- Computer vision.
- Fuzzy Logic.
- Expert systems.
- Robotics.
- Machine learning.
- Neural networks/deep learning.
- Natural language processing.
In the section below, Each 7 branch of AI will be discussed further.
Computer Vision
Computer Visioni is one part of AI that is used to develop techniques that assist computers in seeing and understanding digital images and videos.
Fuzzy Logic
Fuzzy logic is a technique that helps to solve issues or statements that can either be true or false. This method copies human decisions by considering all existing possibilities between digital values of ‘yes’ and ‘no’. But simply, it measures the degree to which a hypothesis is correct.
Expert systems
An expert system is a program specializing in a singular task, just like a human expert. They use a set of rules, called inference rules, that is a knowledge base fed by data defines for them. By using if-then logical notions, they can solve complex issues and help in information management, virus detection, loan analysis, and more.
Robotics
Robots are programmed machines that can automatically carry out complex series of actions. People control them with external devices, or their control systems can be embedded within themselves.
Machine Learning
Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to imitate the way that humans learn.
Figure 1.1 : – Machine Learning
Neural Networks/Deep Learning
At the heart of deep learning algorithms, neural networks are inspired by the human brain, and they copy how biological neurons signal to each other.
Natural Language Processing
Natural language processing allows computers to understand both text and spoken. It combines other types of AI branches like Combining machine learning, linguistics, and deep learning models to let machine/system understand the full meaning or intent human language in voice or text data.