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 

      • Improve limited memory??  Self-driving AI cars have limited memory. Will this improve?  Answer.

  • Theory of Mind

    • Hypothetical; understands emotions, beliefs more

  • Self-aware AI

    • Future concept; AI with consciousness

Types by Technology

  • Machine Learning

    • Supervised Learning

    • Unsupervised Learning

    • Reinforcement Learning

    • Self-Supervised Learning more

    • many of these sub-links to be explored at a later date

  • 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.

 

^

To be tested on other computers   -   source

 

 

What is 'machiin' [sic] learning?


ChatGPT said:
Machine learning is a branch of artificial intelligence (AI) that focuses on building systems that can learn from data and improve their performance over time without being explicitly programmed for every task.

OK.  We need to accept that ChatGPT can't spell.  See also Super-Intelligient AI, Reinfoccement Learning.

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.

OK. 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) example

Music, Video, Code, etc.

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

Transformer-based models and diffusion models here.

GANs (Generative Adversarial Networks here.

We won't ask ChatGPT to add that lot to an imperfect concept map.