Artificial Intelligence (AI) 


AI refers to the ability of machines to perform tasks requiring human intelligence, such as learning, reasoning and decision-making.

Key Technologies: AI includes Machine Learning, Deep Learning, Neural Networks, Natural Language Processing (NLP) and Computer Vision.

Machine & Deep Learning: Machine Learning enables systems to learn from data, while Deep Learning uses multi-layered neural networks to identify complex patterns.

NLP & Computer Vision: NLP enables machines to understand human language, while Computer Vision enables interpretation of images and videos.

Types of AI: Narrow AI performs specific tasks; Artificial General Intelligence (AGI) aims at human-like general intelligence; Super AI is a hypothetical form surpassing human intelligence.

Functional Types: AI may include Reactive Machines that respond to current inputs, Limited Memory AI that uses past data, and hypothetical Theory of Mind and Self-Aware AI.

Applications: AI has evolved from rule-based systems to advanced learning systems and is now used in healthcare, agriculture, finance, governance, defence and education, offering opportunities while raising concerns about ethics, privacy and responsible use.

With reference to Artificial Intelligence (AI), consider the following statements:

  1. Machine Learning enables systems to learn patterns from data.
  2. Deep Learning uses multi-layered neural networks.
  3. Narrow AI is designed to perform specific tasks.
  4. Artificial General Intelligence (AGI) has already achieved human-level intelligence across all domains.

Which of the statements given above is/are correct?

(a) 1, 2 and 3 only

(b) 1 and 4 only

(c) 2 and 3 only

(d) 1, 2, 3 and 4

Answer: (a)