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What is AI, How it Works, Types of AI

What Is Artificial Intelligence?
Artificial intelligence refers to computer systems that are capable of performing tasks traditionally associated with human intelligence — such as making predictions, identifying objects, interpreting speech and generating natural language. AI systems learn how to do so by processing massive amounts of data and looking for patterns to model in their own decision-making. In many cases, humans will supervise an AI’s learning process, reinforcing good decisions and discouraging bad ones, but some AI systems are designed to learn without supervision.

Over time, AI systems improve on their performance of specific tasks, allowing them to adapt to new inputs and make decisions without being explicitly programmed to do so. In essence, artificial intelligence is about teaching machines to think and learn like humans, with the goal of automating work and solving problems more efficiently.

Types of Artificial Intelligence
Artificial intelligence can be classified in several different ways.

  • Strong AI vs. Weak AI
    AI can be organized into two broad categories: weak AI and strong AI.
  • Weak AI (or narrow AI) refers to AI that automates specific tasks. It typically outperforms humans, but it operates within a limited context and is applied to a narrowly defined problem. For now, all AI systems are examples of weak AI, ranging from email inbox spam filters to recommendation engines to chatbots.
  • Strong AI, often referred to as artificial general intelligence (AGI), is a hypothetical benchmark at which AI could possess human-like intelligence and adaptability, solving problems it’s never been trained to work on. AGI does not actually exist yet, and it is unclear whether it ever will.
  • The 4 Kinds of AI
    AI can then be further categorized into four main types: reactive machines, limited memory, theory of mind and self-awareness.

Reactive machines perceive the world in front of them and react. They can carry out specific commands and requests, but they cannot store memory or rely on past experiences to inform their decision making in real time. This makes reactive machines useful for completing a limited number of specialized duties. Examples include Netflix’s recommendation engine and IBM’s Deep Blue (used to play chess).

Limited memory AI has the ability to store previous data and predictions when gathering information and making decisions. Essentially, it looks into the past for clues to predict what may come next. Limited memory AI is created when a team continuously trains a model in how to analyze and utilize new data, or an AI environment is built so models can be automatically trained and renewed. Examples include ChatGPT and self-driving cars.

Theory of mind is a type of AI that does not actually exist yet, but it describes the idea of an AI system that can perceive and understand human emotions, and then use that information to predict future actions and make decisions on its own.

Self-aware AI refers to artificial intelligence that has self-awareness, or a sense of self. This type of AI does not currently exist. In theory, though, self-aware AI possesses human-like consciousness and understands its own existence in the world, as well as the emotional state of others.

Artificial Intelligence Examples
Specific examples of AI include:

Generative AI Tools
Generative AI tools, sometimes referred to as AI chatbots — including ChatGPT, Gemini, Claude and Grok — use artificial intelligence to produce written content in a range of formats, from essays to code and answers to simple questions.

Smart Assistants
Personal AI assistants, like Alexa and Siri, use natural language processing to receive instructions from users to perform a variety of “smart tasks.” They can carry out commands like setting reminders, searching for online information or turning off your kitchen lights.

Self-Driving Cars
Self-driving cars are a recognizable example of deep learning, since they use deep neural networks to detect objects around them, determine their distance from other cars, identify traffic signals and much more.

Date of Input: 22/04/2024 | Updated: 22/04/2024 | aslamiah

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