As known, there are lots of different branches available of Artificial Intelligence, but mainly the main five branches are-
1. Deep Learning
Deep learning is a branch of machine learning based on artificial neural networks to solve complicated tasks or problems without being explicitly programmed.
The main purpose of deep learning is to solve complex tasks or problems with the minimal help of humans. It uses ANN or Artificial Neural Network to extract the extra information from the data or data model to improve the performance of the systems or machines.
Example
With the help of research and experiments, deep learning meets and sometimes it exceeded human capacity. Here are a few examples that are listed- Image recognition, natural language processing, finance, speech recognition, defense systems aerospace, etc.
2. Natural language processing
NLP or Natural language Processing is considered a sub-field or branch of artificial intelligence that provides the ideal knowledge or guidance to a system or machine to understand, and analyze human language.
It was a process, by which it was quite easier to understand, the process analyzes human language in the form of text or audio, so, that a user can easily get the answer to his or her query.
Example
With the help of research and experiments, Natural language Processing or NLP provides a few examples that are listed Email filters, Chatbots, Digital assistants, Speech recognition, and search engines to improve search techniques.
3. Machine learning
Machine Learning is a branch or sub-field of artificial intelligence that provides the capability to learn, understand, and analyze the system or machine without being explicitly programmed.
The main aim of machine learning is to improve the learning process of any system software or machine without any help from a human being. With the help of different types of patterns, it could be easier to learn, develop, analyze, and improve algorithms, which help to predict the datasets.
Example
With the help of research, machine learning meets or sometimes exceeded human capacity. Here, are a few examples that are listed below- Speech recognition, Spam or fraud identification or detection, Healthcare, Finance, Defense systems, Virtual assistant and social media, etc.
4. Neural Network
A Neural network is nothing but a model of machine learning, which was developed to make decisions and functions like a human brain and do all the necessary tasks like a human brain does.
It is also called an artificial neural network or ANN, which can solve problems like face detection or recognition, voice recognition, etc, that can’t be solved by algorithm.
Example
With the help of neural networks and experiments, Here, are a few examples that are listed below-ChatGPT, Speech recognition, Virtual assistants like Alexa and Siri, Self-driving cars and aerospace, etc.
5. Computer Vision
Computer vision is nothing but a branch or sub-field of computer science and artificial intelligence, which makes a system or machine capable enough to extract visual data, and necessary information with the help of images, text, and videos.
The main aim of computer vision is to make a computer system enough capable, so, that it can act like a human brain to deal with all the problems like understanding, analyzing, and processing accordingly.
Example
With the help of research and experiments, deep learning meets and sometimes it exceeded human capacity. Here, are a few examples that are listed below- Healthcare, the Retail industry, Facial recognition, Fraud detection, stock market analysis, and driving cars, etc.
Conclusion
These branches of AI demonstrate the versatility and depth of the field, highlighting how AI technologies can be tailored to meet specific needs across various industries. Each branch continues to evolve, driven by ongoing research and the integration of new technologies.