Artificial Intelligence (AI)

  • Narrow AI (Weak AI)

    • Examples: Siri, ChatGPT, Netflix recommendations

  • General AI (AGI)

    • Still theoretical: Can perform any intellectual task like a human

  • Superintelligent AI

    • Hypothetical future AI that surpasses human intelligence

Types by Functionality

  • Reactive Machines

    • No memory; only responds to inputs

    • Example: Deep Blue (chess)

  • Limited Memory

    • Learns from historical data

    • Example: Self-driving cars

  • Theory of Mind

    • Hypothetical; understands emotions, beliefs

  • Self-aware AI

    • Future concept; AI with consciousness

Types by Technology

  • Machine Learning

    • Supervised Learning

    • Unsupervised Learning

    • Reinforcement Learning

    • Self-Supervised Learning

  • Deep Learning

    • Uses neural networks (e.g., CNNs, RNNs, Transformers)

  • Natural Language Processing (NLP)

    • Sentiment analysis, text generation, speech recognition

  • Computer Vision

    • Image recognition, object detection, facial recognition

  • Expert Systems

    • Rule-based decision making

  • Robotics

    • Autonomous machines using AI (e.g., Boston Dynamics robots)

  • Evolutionary Algorithms / Genetic Algorithms

    • Optimization based on natural selection principles

  • Symbolic AI

    • Logic and rules-based systems

Applications

  • Healthcare AI

  • Finance AI

  • AI in Education

  • AI in Marketing

  • Military AI

  • AI for Cybersecurity

  • AI in Art and Creativity

Would you like me to generate a visual version of this word map for easier understanding?

Yes please.

 

Link


Generative ai?

ChatGPT said:


The diagram you shared is a concept map of Artificial Intelligence (AI) and its major subfields. However, it doesn't explicitly include Generative AI, which is a rapidly growing and impactful area of AI today.

Where Does Generative AI Fit In?


Generative AI refers to AI systems that can create new content — such as text, images, audio, or code — often using deep learning models. It fits under Machine Learning and more specifically under Deep Learning.

 

Here's how it could be added to the diagram:

Artificial Intelligence

Machine Learning

Deep Learning

Generative AI

Text Generation (e.g., GPT)

Image Generation (e.g., DALL·E)

Music, Video, Code, etc.

Generative AI often utilizes transformer-based models, GANs (Generative Adversarial Networks), or diffusion models, depending on the application.