AI is using everywhere in our daily life like from recommendation systems, voice assistants, image recognition, chatbots and other types of tasks. Artificial Intelligence (AI) is a sub-field of Computer Science where their main goal is to create the Intelligent system that will perform tasks like human level intelligence like problem-solving, recognizing images, understand or interpret human language.
It follows mainly two approaches when learning AI, It can be rule based method which perform based on specific rules or conditions, or It can be machine learning algorithms to perceive the given environments.
AI Fundamentals for beginners
There are some core terms in AI that are used directly or indirectly in systems, If you are new in AI field then these are terms you should know before exploring or learning advance AI topics. You can learn more about topics on our blog that are linked here, and remaining topics will cover further.
Machine Learning
Machine Learning (ML) is the sub-field of Artificial Intelligence (AI) that the goal is to build the system where it can learn from data or make decisions without being explicitly programmed to perform tasks. Instead, it is trained using machine learning algorithms by learning patterns to improve performance without human intervention.
Deep Learning
Deep Learning (DL) is the sub part of Machine Learning that mimics the way that human brain works, where it helps the computer to learn from experiences. It acts like the virtual brain.
Generative AI
Generative AI is used to generate new content like texts, images, audios, videos, codes etc. It uses the patterns based on the provided large training datasets of generating original content.
Natural Language Processing
Natural Language processing (NLP) is the system where their main task is to interact, interpret and understand the human language through natural language. The examples include voice assistants (Alexa, Siri, Google Assistant).
Neural Network
A Neural Network is the system that works the same ways as our brain neurons. It helps computer by finding specific patterns like image or audio recognition and there are some applications that are work under these patterns.
Types of AI
The AI comes in different types based on their capabilities or functionalities that are work where some AI types exist in real world, but some are in theoretical and future perspective.
Narrow AI
Narrow AI is a type of AI that is trained based on specific task or narrow range task. The narrow AI is well perform for designated task, but this type of AI will not able to perform general task. The examples are voice assistants or image recognition and others.
General AI
General AI is a type of AI that will perform like human intelligence. The general AI is like human who can perform various tasks, and they were able to understand, learn and apply the knowledge on wide range of tasks. This concept is now in theoretical concept, researcher’s goal is to make the system that will be able to self-aware, conciseness and ability make own decisions. The examples are robots that will use learned knowledge into other tasks independently without any human intervention.
Super AI
Super AI is a type of AI that surpass the human intelligence based on problem-solving and creativity. They develop emotions, desires, believes. It is also able to solve problems and make their own decisions. It could revolutionize the industries or scientific research and problem-solving. How it raises concerns regarding control and safety.
AI Types based on the Functionalities
The AI functionalities are based on four categories. These are mainly used in the practical applications in the real world scenarios.
Reactive Machines
This is the most basic form of AI where it works in the current data without taking previous experiences, or learn from past actions. These systems can perform fixed respond based on specific inputs with fixed output and without adapt it. The examples are IBM Deep Blue and Google Alpha Go. these two examples are based on playing games without learning past data.
Limiting Memory AI
This type of AI has stored some data into memory and use this for future predictions or improve the future predictions. It uses past historical data to make predictions without using long term memory. There are some machine learning models like self-driving cars, chatbots and robotics.
Theory of Mind
The Theory of Mind AI works by understanding human emotions, beliefs, intentions and desires. This type of AI is under development, and it allows the machines to perceive emotions and adjust their behaviors accordingly. The examples will be human robot interactions.
Self-Awareness AI
Thus, type of AI is advance stage where not only handles self-conciseness and awareness, but it has their own consciousnesses similar to human awareness. The example is autonomous systems.
Conclusion
These are the advancements of AI of their evolution, The AI types are having some their unique abilities that outperform the human intelligence not all but some types are in development or research phase to achieve it in the future. As AI research continues, it is crucial for us to understand it and how as the human can utilize it for productiveness in our daily use.