Types Of Artificial Intelligence: Understanding the Various Stages and Categories

The use and scope of Artificial Intelligence don’t need a formal introduction. Artificial Intelligence is no more just a buzzword; it has become a reality that is part of our everyday lives. With companies building intelligent machines for diverse applications using AI, it is revolutionizing business sectors like never before. You will learn about the various stages and categories of artificial intelligence in this article on Types Of Artificial Intelligence.

Artificial Intelligence is the process of building intelligent machines from vast volumes of data. Systems learn from past learning and experiences and perform human-like tasks. It enhances the speed, precision, and effectiveness of human efforts. AI uses complex algorithms and methods to build machines that can make decisions on their own. Machine Learning and Deep learning forms the core of Artificial Intelligence.

AI is now being used in almost every sector of business:
– Transportation
– Healthcare
– Banking
– Retail
– Entertainment
– E-Commerce

Now that you know what AI really is, let’s look at what are the different types of artificial intelligence?

Types of Artificial Intelligence

Artificial Intelligence can be broadly classified into several types based on capabilities, functionalities, and technologies. Here’s an overview of the different types of AI:

1. Based on Capabilities
– Narrow AI (Weak AI): Designed to perform a narrow task.
– General AI (Strong AI): Endowed with broad human-like cognitive capabilities.
– Superintelligent AI: Represents a future form of AI where machines could surpass human intelligence.

2. Based on Functionalities
– Reactive Machines: Analyze and respond to different situations.
– Limited Memory: Make informed decisions by studying past data.
– Theory of Mind: Understand emotions, beliefs, and needs.
– Self-aware AI: Machines with their own consciousness and self-awareness.

3. Based on Technologies
– Machine Learning (ML): AI systems capable of self-improvement through experience.
– Deep Learning: Involves many layers of neural networks.
– Natural Language Processing (NLP): Enables machines to understand and interpret human language.
– Robotics: Involves designing, constructing, and using robots.
– Computer Vision: Allows machines to interpret the world visually.
– Expert Systems: Answer questions and solve problems in a specific domain of expertise.

Branches of Artificial Intelligence

AI research has successfully developed effective techniques for solving a wide range of problems, from game playing to medical diagnosis. Some of the essential branches of AI include:
– Machine learning
– Deep learning
– Natural language processing
– Robotics
– Expert systems

Conclusion

We might be far from creating machines that can solve all the issues and are self-aware. But, we should focus our efforts toward understanding how a machine can train and learn on its own and possess the ability to base decisions on past experiences.

I hope this article helped you to understand the different types of artificial intelligence. If you are looking to start your career in Artificial Intelligent and Machine Learning, then check out Simplilearn’s Post Graduate Program in AI and Machine Learning.

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