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Future of AI

Evolution of AI (Imp)​

Beginning of AI (1943)​

  • The concept of AI began around 1943
  • AI is not limited to the computer sciences disciplines, but can be seen in various other areas

AI knowledge-based expert systems (1970)​

  • An AI system often uses a rule-based system to capture knowledge in the form of if-then statements or as decision trees

Machine Learning (1998)​

  • There are two types of machine learning:
    • Formal: The formal type of machine learning is a computer program that learns from experience in respect to some task and increases performance based on that experience
    • Informal: The informal involves giving computers the ability to learn without explicitly programming the capability

Supervised Learning (2004)​

  • The supervised learning is based on giving the correct answers and having the computer mapping inputs to outputs
  • For Example:
    • Spam Filters: Software is trained to learn and distinguish between spam and non-spam messages (For example, e-mail filters).
    • Facial Recognition: It is used by cameras to focus and via photo editing software to tag people (For example, Facebook)

Unsupervised Learning (2010)​

  • Unsupervised learning is the reverse of supervised learning where the correct answers are unknown. For example:
    • Clustering Algorithm: Used to find patterns in datasets and then group that data into different coherent clusters
    • Market Segmentation: Targeting customers based on regions, likes, dislikes, when the consumer makes purchases, etc. This is considered targeted marketing.

Genetic Programming (2010)​

  • Genetic Programming is an idea that uses evolutionay process to improve algorithms

Future of AI (2019 onwards)​

  • There are many challenges in mimicking human intelligence.
  • Humans acquire common senses that are intuitive but hard to reason rationally.
  • For example, the colour of a blue car is blue