Artificial Intelligence (AI) Its types and application in 2025

Introduction

Artificial intelligence refers to the simulation of human intelligence processes by machines, enabling them to perform tasks that classically require human intelligence, such as learning, problems solving, reasoning and design making. Artificial intelligence enables machines to think and acts like us. Artificial intelligence is shaping the future in traditions we once only imagined. Artificial intelligence improves continuously by utilising methods like machine learning and deep learning. Artificial intelligence used in healthcare for diagnosing diseases, Finance for fraud detection and e-commerce for personalised recommendations. It also powers virtual assistants like Sire and Alexa. Artificial intelligence works by simulating human intelligence in machines through algorithms, data and models. Artificial intelligence understands and responds to human language. Artificial intelligence acts independently, replacing the needs for human intelligence.

Types of Artificial Intelligence Based on Capabilities

Artificial intelligence can be generally categorized into three main types:

Narrow Artificial Intelligence

Narrow Artificial intelligence also known’s as weak Artificial intelligence. It is the only type that exists today. Any others forms of Artificial intelligence is theoretical. It can be trained to performs a single task, often far faster and better than a human mind can. However, it cannot perform outside of its defined task. Siri, Amazon’s Alexa and IBM Watson are the examples of Narrow Artificial Intelligence.

General Artificial Intelligence

Artificial General Intelligence is also known’s as strong artificial intelligence. It is today nothing more than a theoretical concept. Artificial General Intelligence can use previous learning and skills to accomplish new tasks in a different context without the need for human beings to train the underlying models. This ability allows General Artificial Intelligence to learn and performs any intellectual task that a human being can.

Super Artificial Intelligence

Super Artificial Intelligence is commonly referred to as Artificial Super Intelligence. If ever realized, Super Artificial Intelligence would think, reason, learns and hold cognitive abilities that exceed those of human beings. The applications possessing Super Artificial Intelligence capabilities will have evolved beyond the point of understanding human sentiments and experiences to feel emotions, posse’s beliefs and desires of their own.

Types of Artificial Intelligence Based on Functionalities

Reactive Machine AI

Reactive machines are AI systems with no memory and are designed to perform a very specific task. Since, they cannot recollect previous outcomes or decisions. They only work with presently available data. Reactive AI stems from statistical maths and can analyze vast amount of data to produce a seemingly intelligent outputs.

Examples of Reactive Machine AI

IBM Deep Blue: IBM chess-playing super computer AI beat chess grand master Garry Kasparov in the late 1990s by analyzing the pieces on the board and predicting the probable outcomes of each move.

Netflix Recommendation Engine: Netflix viewing Recommendations are powered by models that process data sets collected from viewing history to provide customers with content they are most likely to enjoy.

Limited Memory AI

Unlike reactive machines AI, this form of AI can recall past events, outcomes and monitor specific objects or situations over times. Limited Memory AI can use past and present moment data to decide on a course of action most likely to help achieve a desired outcome. It cannot retain data in a library of past experiences to use over a long-term period. Limited Memory AI can improve in performance.

Examples of Limited Memory AI

Generative AI: Generative AI tools such as ChatGPT, Bard and DeepAI rely on Limited Memory AI to predict the next word and phrase.

Virtual Assistants and Chatbots: Siri, Alexa, Google Assistant and IBM Watson Assistant combine natural language processing and Limited Memory AI to understand questions and requests take appropriate actions and compose responses.

Theory of Mind AI

Theory of mind AI is a functional class of AI that falls beneath the General AI. Artificial intelligence with the theory of mind functionality would understand the thoughts and emotions to others entities. This understanding would affect how the AI would interact with those around them. In theory, it would allow the AI to simulate human-like relationships. Theory of Mind AI supposes human reasoning. It would also be able to understand artwork and essays, the Generative AI tools are unable to do. Emotion of Mind AI is a theory of Mind AI currently in development. Emotion AI would unable to understand and respond to human feelings.

Application of Artificial Intelligence

Applications of Artificial Intelligence are as follow:

Natural Language Processing

Natural language processing (NLP) is an AI fields focusing on interaction between computers and human thoughts Natural Language. NLP enables machines to understand, interpret and generate human language. It facilitating applications like translations, sentiment analysis and voice activated assistants. Example Grammarly uses NLP to analyze text for grammatical errors, style improvements, clarity and helping users to enhance their writing quality.

Artificial Intelligence Technology in Healthcare

One of the critical AI applications is its integration with the healthcare and medical field. Artificial Intelligence transform healthcare by improving diagnostics, personalizing treatment plans and optimizing patients care. AI algorithms can analyze medical images, predict disease outbreaks, and assist in drug discovery and enchasing the overall quality of healthcare services. Example IBM Watson health uses AI to analyze vast amount of medical data, assisting doctors in diagnosing diseases and recommending personalized treatment plans.

Astronomy

Next up on the list f AI application is Astronomy. AI aids astronomers in analyzing vast amount of data, identifying outer space objects and discovering new phenomena. AI algorithms can process data from telescopes and satellites and classification of astronomical objects. Example NASA uses AI to analyze data from Kepler Space Telescope, helping to discover exoplanets by identifying subtle changes in star brightness.

Generative Artificial Intelligence

The latest and popular AI application today is Generative AI. Generative AI uses machines learning model to create new content, from text and images to music and videos. These models can generate realistic and creative outputs, enhancing various fields such as art, entertainment and design. Example ChatGPT can generate human-like text, enabling applications such as content creations, chatbots and virtual assistant.

Conclusion

Artificial Intelligence is rapidly transforming our world, offering unprecedented opportunities for innovations and progress. While also presenting challenges that require consideration. The fields of Artificial Intelligence have made remarkable progress in the past five years. The ability o computer programs sophisticated language, image and processing tasks. Although the current state of AI technology is still far short of the field’s founding aspiration of recreating full human-like intelligence in machines, research and development terms. The use of AI techniques in healthcare becomes a reality. Old and new companies are investing money and attention to varying degrees to finds ways to build on this progress. AI research community plays critical role in this regard. Artificial Intelligence is to enables machines to sense, act and learn with human-like levels of intelligence. Summarize the transformative potential of AI while emphasing the need for responsible and ethical development.