________ is a branch of Artificial Intelligence.
- (a)Network Design
- (b)Cyber Forensics
- (c)Full-stack Development
- (d)Machine Learning
Correct — D, Machine Learning. Machine Learning (ML) is a branch/subfield of Artificial Intelligence in which systems learn patterns from data and improve at a task without being explicitly programmed for every rule — it is the dominant modern approach to building AI systems (e.g., recommendation engines, image recognition, disease diagnosis).
- (a)Network Design — A computer-networking discipline concerned with how devices/systems connect and communicate — not a subfield of AI.
- (b)Cyber Forensics — The digital-forensics discipline of investigating cybercrime and recovering digital evidence — a security/investigative field, not a branch of AI (though AI tools can assist it).
- (c)Full-stack Development — Software engineering covering both front-end and back-end application development — a general software skillset, not an AI subfield.
Artificial Intelligence (AI) is the broad field of building systems that perform tasks normally requiring human intelligence. Machine Learning is AI's most prominent branch — instead of hand-coding rules, ML systems learn statistical patterns from data. Deep Learning (using multi-layer neural networks) is, in turn, a specialised subset of Machine Learning. The other three options are legitimate but separate computing disciplines (networking, cybersecurity, software development) that are not branches of AI.
'Branch of AI' questions expect you to correctly place Machine Learning inside the AI hierarchy while rejecting adjacent-sounding but unrelated computing fields — don't be misled by options that also 'sound technical.'
- Machine Learning is a branch/subfield of Artificial Intelligence.
- Deep Learning is, in turn, a specialised subset of Machine Learning — a nested hierarchy: AI contains ML, and ML contains Deep Learning.
- Network Design, Cyber Forensics, and Full-stack Development are separate computing disciplines, not branches of AI.
Of the four options, only Machine Learning sits inside the field of Artificial Intelligence.
- Assuming any 'technical-sounding' computing discipline (networking, forensics, development) qualifies as a branch of AI
- Confusing the AI > Machine Learning > Deep Learning hierarchy — treating all three as equivalent/interchangeable terms
MPPSC/UPSC-adjacent IT-awareness questions test whether a named field genuinely sits inside the AI family tree (AI, ML, Deep Learning, NLP, Computer Vision) versus being a separate computing discipline.
Consider the following statements: I. It is expected that Majorana 1 chip will enable quantum computing. II. Majorana 1 chip has been introduced by Amazon Web Services (AWS). III. Deep learning is a subset of machine learning. Which of the statements given above are correct?
- (a) I and II only
- (b) II and III only
- (c) I and III only
- (d) I, II and III
Answer(c) I and III only
UPSC 2025 tests the same AI-subfield nesting one level down — 'deep learning is a subset of machine learning' is the same hierarchical-classification idea as this question's 'machine learning is a branch of AI.'
- practice — not a real PYQ
Which of the following is a specialised subset of Machine Learning that uses multi-layer neural networks?
- (a)Cyber Forensics
- (b)Deep Learning
- (c)Full-stack Development
- (d)Network Design
Answer(b) Deep Learning — it is a subset of Machine Learning, which is itself a branch of AI.
- practice — not a real PYQ
Which of the following is NOT typically considered a branch/application area of Artificial Intelligence?
- (a)Machine Learning
- (b)Natural Language Processing
- (c)Computer Vision
- (d)Network Design
Answer(d) Network Design — a computer-networking discipline, unlike the other three AI-related fields.