Artificial Intelligence (AI) Its types and application in 2025

Introduction

                   Artificial Intelligence (AI) refers to simulations of human intelligence machine that are programmed to thing and act like humans, including tasks like learning, reasoning and problem-solving. Artificial Intelligence is a field of science concerned with building computers and machine that can reason, learn and act in such a way that would normally require human intelligence or that involves data whose scale exceeds what human can analyse. AI is a broad of field that encompasses many different disciplines, including computer science, data analytics and statistics, hardware and software engineering, and philosophy and psychology. On an operational level for business use, AI is a set of technologies that are based primarily on machine learning, used for data analytics, predictions and forecasting, object categorization, natural language processing, recommendations, intelligent data retrieval, and more. This learning process often involves algorithms, which are sets of rules or instructions that guide the AI’s analysis and decision-making. In machine learning, a popular subset of AI, algorithms are trained on labelled or unlabelled data to make predictions or categorize information.

Types of Artificial Intelligence based on capabilities

 Narrow AI

                 Artificial narrow intelligence, also known as Weak AI is the only type of AI that exists today. Any other form of AI is theoretical. It can be trained to perform a single or narrow task, often far faster and better than a human mind can. It can’t perform outside of its defined task. Instead, it targets a single subset of cognitive abilities and advances in that spectrum. Siri, amazon’s, Alexa and IBM Watson^® are example of Narrow AI.

General AI

                   Artificial General Intelligence (AGI), also known as strong AI, is today nothing more than a theoretical concept. AGI can use previous learnings and skills to accomplish new tasks in a different context without the need for human beings to train the underlying models. This ability allows AGI to learn and perform any intellectual task that a human being can.

Super AI

             Super AI is commonly referred to as artificial superintelligence and, like AGI, is strictly theoretical. If ever realized, Super AI would think, reason, learn, make judgements and possess cognitive abilities that surpass those of human beings. The applications possessing Super AI capabilities will have evolved beyond the point of understanding human sentiments and experiences to feel emotions, have needs and possess 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 can’t recollect previous outcomes or decisions, they only work with presently available data. Reactive AI stems from statistical math and can analyze vast amounts of data to produce a seemingly intelligent output.

Example:

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

Limited Memory AI  

                               Unlike reactive machine AI, this form of AI can recall past events and outcomes and monitor specific object or situations over time. 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. While Limited Memory AI can use past data for a specific amount of time, it can’t retain that data in a library of past experiences to use over a long-term period. As it’s trained on more data over time, Limited Memory AI can improve in performance.

Example:

     Generative AI: Generative AI tools such as CHATGPT, Bard and Deep AI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating.

Self-Aware AI

                         Self-Aware AI is a kind of functional AI class for applications that would possess super AI capabilities. Like theory of mind AI, Self-Aware AI is strictly theoretical. If ever achieve, it would have the ability to understanding its own internal conditions and traits along with human emotions and thoughts. It would also have its own set of emotions, needs and beliefs. Emotion AI is a Theory of mind AI currently in development. Researches hope it will have the ability to analyze voices, images and other kinds of data to recognize, simulate, monitor and respond appropriately to humans on an emotional level. To date, Emotion AI is unable to understand and respond to human feelings.

Application of Artificial Intelligence

                                                       Here is the list of the top applications of AI:

E-Commerce

               Artificial intelligence has transformed the e-commerce industry by enhancing customer’s shopping experience and optimizing businesses operations. AI-powered recommendation engines analyze customer behaviour and preferences to suggest products, leading to increased sales and customer satisfaction. Additionally, Al-driven chatbots provide quick customer support, resolving queries and guiding shoppers through their purchasing journey.

Education      

            The next AI application is its use in the betterment of education! AI in education is transforming how students learn and how educators teach. Adaptive learning platforms use AI to customize educational content based on each student’s strengths and weaknesses, ensuring a personalized learning experience. AI can also automate administrative tasks, allowing educators to focus more on teaching and less on paperwork.

Lifestyle

             The next AI application is a common one: AI in lifestyle. AI is integrated into various lifestyle applications, from personal assistants like Siri and Alexa to smart home devices. These technologies simplify daily tasks, offer entertainment options, manage schedules, and even control home appliances, making life more convenient and efficient.

Robotics

             AI enhances robot’s capabilities, enabling them to perform complex tasks precisely and efficiently. In industries like manufacturing, AI-powered robots can work alongside humans, handling repetitive or dangerous tasks, thus increasing productivity and safety. In automotive manufacturing, AI-driven robots are used for assembling parts.

Conclusion

               The field of artificial intelligence has made remarkable progress in the past five years and is having real-word impact on people, institutions and culture. The ability of computer programs to perform sophisticated language and image -processing tasks, core problems that have driven the field since its birth in the 1950s, has advanced significantly. 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 teams are leveraging these advances and incorporating them into society facing application. For example, the use of AI techniques in health is becoming a reality, and the brain sciences are both a beneficiary of and a contributor to AI advances. Old and new companies are investing money and attention to varying degrees to find ways to build on this progress and provide services that scale in unprecedented ways.