Question map
Consider the following pairs : Terms sometimes seen in news Context / Topic 1. Belle II experiment - Artificial Intelligence - Digital/ 2. Blockchain technology Cryptocurrency 3. CRISPR - Cas9 - Particle Physics Which of the pairs given above is/are correctly matched ?
Explanation
The correct answer is option B (2 only) because only the second pair is correctly matched.
**Pair 1 is incorrect:** The Belle II experiment is a particle physics experiment designed to study the properties of B mesons (heavy particles containing a bottom quark).[1] It is not related to artificial intelligence or digital technology.
**Pair 2 is correct:** Cryptocurrencies are based on the decentralized ledger-based blockchain technology which seeks to make the currency system decentralized, unlike the present government-issued centralized form.[2] This pair correctly associates blockchain technology with digital/cryptocurrency.
**Pair 3 is incorrect:** CRISPR-Cas9 is a gene-editing technology used in biotechnology and genetic engineering, not particle physics. It is a molecular tool for editing DNA sequences in living organisms.
Therefore, only pair 2 is correctly matched, making option B the correct answer.
Sources- [2] Indian Economy, Nitin Singhania .(ed 2nd 2021-22) > Chapter 7: Money and Banking > CRYPTOCURRENCIES > p. 160
PROVENANCE & STUDY PATTERN
Full viewThis question is a classic 'Wolf in Sheep's Clothing'. It looks difficult because of 'Belle II', but it is actually a sitter designed to reward basic awareness. You only needed to know that CRISPR is related to Biology (Genes), not Physics, to eliminate all incorrect options.
This question can be broken into the following sub-statements. Tap a statement sentence to jump into its detailed analysis.
- Defines what Belle II actually is, identifying it as a particle physics experiment.
- States the experiment studies B mesons, which ties it to particle physics rather than AI.
States a general pattern: Industry 4.0 and modern technological projects are driven by big data, high computing capacity and artificial intelligence.
A student could note that large-scale scientific experiments producing large datasets (like particle physics experiments) often fit this pattern and therefore check news for 'Belle II + AI' mentions or descriptions of data/compute needs.
Gives an example of a scientific/data centre (Krishi Megh) explicitly equipped with AI and deep learning for image analysis and research-support tasks.
By analogy, one could infer that research infrastructures handling complex data (Belle II as a collider experiment) might also employ AI and so search news coverage for AI roles at Belle II.
Shows a concrete, recurring newsworthy theme: AI is routinely reported as applied technology across domains (predictive models, IoT, sensor data).
A student can extend this by recognizing news often highlights cross-domain AI use and therefore specifically look for news items that pair 'Belle II' with AI applications (data analysis, pattern recognition).
Describes policy push to create AI centres of excellence and 'Make AI work for India', indicating institutional emphasis on applying AI broadly, including to scientific/technical projects.
A student could use this to justify checking institutional press releases or news about collaborations between Belle II partner institutions and AI centres or projects.
Mentions the economic importance and prevalence of AI (large GDP impact), implying AI is a widely reported technology and commonly linked in news to major technical endeavours.
A student might infer that if Belle II is newsworthy, journalists may highlight any AI involvement; they should therefore search news archives for such linking terms.
- Explicitly states cryptocurrencies are based on decentralized ledger-based blockchain technology.
- Names examples (Bitcoin, Ethereum) linking mainstream crypto coverage to blockchain.
- Frames blockchain as the foundational technology for digital money, aligning with how news links the two.
- Says the backend of cryptocurrency transactions is technology called blockchain.
- Describes mining and crypto generation with blockchain as the supporting system, reinforcing the association.
- States that blockchain (Distributed Ledger Technology) supports cryptocurrency and is cited in discussions of digital currencies.
- Links blockchain with payment technologies and digital-currency debates that commonly appear in news reports.
This snippet shows that news items explicitly about particle-physics topics (e.g., detection of 'Higgs boson particles' and gravitational waves) use the word 'particles' in a physics/cosmology sense.
A student could check whether news stories that mention CRISPR–Cas9 also mention these physics-specific keywords (Higgs, gravitational waves, black holes) to assess association.
Notes that physical phenomena (cosmic microwave background, gravitational waves) appear in news as evidence for major physics theories—showing a pattern of physics-related 'particle' coverage in news.
Compare frequency of CRISPR–Cas9 appearing alongside cosmology/particle-physics terms in news archives to test for association.
Discusses 'alpha, beta, gamma' radiation particles—an example of 'particle' used in a physical/radiation context distinct from biological usage.
Use this disciplinary separation (radiation/physics vs. biology) to hypothesize CRISPR–Cas9 is more likely to co-occur with biology/medicine terms than with radiation/particle-physics terms, then verify by searching news co-occurrence.
Mentions cosmic rays and solar particle events as news-relevant hazards—another instance where 'particle' refers to astrophysical phenomena in news items.
A student could contrast CRISPR–Cas9 news stories with headlines about cosmic rays/solar particles to see if the topics overlap or remain separate.
Describes 'particles' in the context of matter and chemistry/education, showing that 'particle' is a polysemous term used across domains (education/chemistry vs. physics vs. biology).
Recognize the multiple meanings of 'particle' and search for CRISPR–Cas9 co-occurrence with domain-specific qualifiers (e.g., 'Cas9 particle' vs 'Higgs particle') to disambiguate news association.
- [THE VERDICT]: Sitter disguised as a Bouncer. Solvable via 'Option Elimination' using basic Science current affairs (CRISPR = Biology). Source: Standard Science Tech compilations.
- [THE CONCEPTUAL TRIGGER]: Emerging Technologies & Scientific Contexts. The syllabus theme is 'Awareness in the fields of IT, Space, Computers, robotics, nano-technology, bio-technology'.
- [THE HORIZONTAL EXPANSION]: Categorize terms into domains. Biology: CRISPR, CAR-T, mRNA, Cas9 vs Cas13. Physics: LIGO (Gravitational Waves), CERN (Higgs Boson), ITER (Fusion), INO (Neutrinos). Digital: Blockchain, NFT, Web 3.0, Edge Computing.
- [THE STRATEGIC METACOGNITION]: Do not obsess over the technical depth of every experiment. Focus on the 'Parent Domain'. The examiner's favorite trap is Cross-Domain Swapping (e.g., putting a Biology term under Physics). If the domain doesn't match, the pair is false.
Several references describe concrete uses of AI for sowing forecasts, irrigation timing, seasonal forecasting and image-based disease identification in farming contexts.
High-yield for UPSC: AI's sectoral applications are often asked in prelims/mains (technology-policy link). Understanding concrete examples (agriculture use-cases) helps answer questions on technology adoption, rural policy and digital agriculture. Connects to questions on e-governance and rural development; practice by mapping AI use-cases to policy instruments.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 11: Agriculture - Part II > Application of Technology in Agriculture: > p. 357
- Indian Economy, Nitin Singhania .(ed 2nd 2021-22) > Chapter 9: Agriculture > X Krishi Megh > p. 332
One reference frames Industry 4.0 around digitalisation driven by big data, high computing capacity and artificial intelligence.
Important for UPSC: conceptual grasp of Industry 4.0 clarifies how AI fits into broader industrial policy and economic transformation questions. Useful for GS III (economy, technology) and essay topics; enables linking AI to manufacturing, productivity and policy measures.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 7: Indian Economy after 2014 > Fourth Industrial Revolution (Industry 4.0): Present > p. 232
Evidence shows government plans such as centres of excellence for AI and institutional programmes referencing 'Make AI in India'.
Vital for UPSC: knowing policy measures and institutional responses to AI informs answers on technology governance, planning and public sector adoption. Helps frame critiques and recommendations in mains answers and interviews; study official schemes and institutional roles.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 15: Budget and Economic Survey > 4. Unleashing the potential > p. 447
Multiple references state that cryptocurrencies are built on blockchain/DLT and that crypto transactions use blockchain as the backend.
High-yield for questions on digital currencies, fintech and monetary policy; helps answer why news links blockchain and crypto, and frames debates on regulation and systemic risk. Connects to topics on money, payments, and technology policy—practice by mapping tech to policy implications.
- Indian Economy, Nitin Singhania .(ed 2nd 2021-22) > Chapter 7: Money and Banking > CRYPTOCURRENCIES > p. 160
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 2: Money and Banking- Part I > What are Crypto currencies? > p. 77
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 2: Money and Banking- Part I > Advantages of CBDC > p. 79
Evidence shows blockchain used in warehouse receipt finance and as an emerging IT skill area beyond cryptocurrencies.
Important for balanced answers in UPSC: shows blockchain is not only crypto — useful for questions on agriculture, supply chains, and governance reforms. Enables comparative/nuanced answers on tech adoption and public policy; link to case studies improves answer depth.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 12: Supply Chain and Food Processing Industry > Use of Blockchain technology in Warehouse Receipt Finance > p. 373
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 7: Indian Economy after 2014 > Some initiatives of Govt. of India for Skilling: > p. 241
References discuss central banks' responses (e‑rupee/CBDC) and legal/regulatory actions around private crypto, tying blockchain debates to policy choices.
Core for questions on monetary sovereignty, legal frameworks and financial stability: helps frame arguments for/against private crypto and for CBDC adoption. Prepares aspirants for policy-analysis questions and judiciary/administration angles.
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 2: Money and Banking- Part I > Why RBI launched e-Rupee? > p. 78
- Indian Economy, Vivek Singh (7th ed. 2023-24) > Chapter 2: Money and Banking- Part I > Advantages of CBDC > p. 79
- Indian Polity, M. Laxmikanth(7th ed.) > Chapter 90: Landmark Judgements and Their Impact > INTERNET AND MOBILE ASSOCIATION OF INDIA CASE (2020) > p. 644
The references show 'particle' used in multiple contexts (constituents of matter, radiation), so distinguishing disciplinary usage helps judge whether a term like CRISPR–Cas9 (biological) relates to 'particle' in physics.
High-yield for news-interpretation questions: UPSC often requires distinguishing similar terms across science disciplines. Mastering this reduces category errors (confusing biological tools with physics concepts) and helps eliminate distractors in MCQs and mains answers. Practice by mapping key terms to their domain-specific meanings.
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 7: Particulate Nature of Matter > 7.4 How Particles Move in Different States of Matter? > p. 109
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 7: Particulate Nature of Matter > Safety first > p. 101
- Science ,Class VIII . NCERT(Revised ed 2025) > Chapter 7: Particulate Nature of Matter > Snapshots > p. 113
Since Belle II (B-Mesons/Antimatter) appeared, watch out for 'Muon g-2' (Standard Model anomalies) or 'XENON1T' (Dark Matter). Also, distinguish Cas9 (DNA cutting) from Cas13 (RNA targeting) for future nuance.
The 'Domain Mismatch' Hack. Look at Pair 3: CRISPR is the most famous gene-editing tool (Biology). The option pairs it with 'Particle Physics'. This is a fundamental category error. If 3 is wrong, options A, C, and D are eliminated instantly. Answer is B.
Link CRISPR to GS-4 (Ethics) via the 'Designer Babies' debate (He Jiankui case). Link Blockchain to GS-2 (Governance) via Land Record Modernization and Tamper-proof Supply Chains, moving beyond just Crypto.