Artificial intelligence (AI) is a field within computer science dedicated to developing systems that can undertake activities traditionally reliant on human intelligence. These tasks include learning, reasoning, problem-solving, perception, understanding natural language, and more. Exploring Artificial Intelligence Course in Pune at FITA Academy could be a valuable step toward your successful career. 

Types of Artificial Intelligence

AI can be categorized into several types and has various applications across numerous fields. Here's a detailed look at AI

Type 1 - Based on AI Capabilities

Narrow AI

Narrow AI, also referred to as Weak AI, is designed and trained for specific tasks or a limited range of activities. These systems are purpose-built to perform designated functions but generally lack the ability to generalize to other tasks. Examples of Narrow AI include virtual assistants like Alexa and Siri, recommendation systems, image recognition software, and language translation tools.

General AI

Artificial General Intelligence (AGI), also known as General AI or Strong AI, refers to AI systems that can learn, think, and perform a wide array of tasks similarly to humans. The aim of developing AGI is to create machines capable of handling multifunctional tasks and serving as lifelike, equally intelligent assistants to humans in everyday life.

Super AI

Artificial Superintelligence (ASI), often referred to as Super AI, is a concept primarily found in science fiction. The theory suggests that once AI attains general intelligence, it will rapidly advance, surpassing human intelligence and capabilities. ASI would serve as the foundational technology for fully self-aware AI and autonomous robots. This idea also drives the popular narrative of "AI takeovers" in the media. However, it remains speculative at this stage. 

Type 2 - Based on AI Functionality

Reactive Machine AI

Reactive Machines, developed by IBM, represent the most fundamental type of AI system. They lack the ability to form memories or utilize past experiences to influence current decisions, hence the term "Reactive." An example of a reactive machine is Deep Blue, the chess-playing supercomputer. These AI systems can only respond to immediate situations and cannot make decisions based on historical data. Simple rule-based systems, such as those used in chess programs, are typical examples of this basic AI type. Enrol Artificial Intelligence Course in Gurgaon to gain extensive knowledge about Machine Learning and Deep Learning.

Limited Memory AI

It consists of machine learning models that acquire knowledge from previously-learned information, stored data, or past events. Unlike reactive machines, limited memory systems learn from past experiences by observing actions or data, enabling them to build experiential knowledge.

Theory of Mind AI

This type of AI possesses decision-making abilities comparable to the human mind but implemented by machines. While some current machines, such as voice assistants, exhibit human-like capabilities, none can fully engage in conversations at the same level as humans. A key aspect of human conversation involves emotional capacity, where the AI sounds and behaves like a person in standard interactions. AI systems with a theory of mind can understand and simulate the mental states of others. However, this form of AI is still under development and not yet practical.

Self Awareness AI

Self-aware AI represents the future trajectory of artificial intelligence, envisioned to possess super-intelligence, consciousness, emotions, and self-awareness, surpassing human cognitive capabilities. This advanced form of AI remains theoretical and does not yet exist in reality.

So far, Artificial Intelligence encompasses a spectrum of capabilities and functionalities, ranging from Narrow AI to General AI and the theoretical concept of Super AI. To learn about AI concepts and gain more details, join the Artificial Intelligence Course in Mumbai.