BharatNotes
Artificial Intelligence (AI)
What Is AI?
| Feature | Detail |
|---|---|
| Definition | Machines that can perform tasks requiring human intelligence — learning, reasoning, problem-solving, perception, language understanding |
| Types | Narrow AI (task-specific — Siri, chess engines, facial recognition) → General AI (human-level across all tasks — not yet achieved) → Super AI (exceeds human intelligence — theoretical) |
| Key techniques | Machine Learning (ML), Deep Learning (neural networks), Natural Language Processing (NLP), Computer Vision |
| Generative AI | Models that create new content — text (ChatGPT/Claude), images (DALL-E/Midjourney), code, video (emerged 2022-2023 as mainstream) |
IndiaAI Mission
| Feature | Detail |
|---|---|
| Approved | 7 March 2024 by Union Cabinet; under Ministry of Electronics and IT (MeitY) |
| Budget | Rs 10,371.92 crore for 5 years |
| 7 Pillars | IndiaAI Compute Capacity, IndiaAI Innovation Centre, IndiaAI Datasets Platform, IndiaAI Application Development Initiative, IndiaAI FutureSkills, IndiaAI Startup Financing, Safe & Trusted AI |
| Computing | 10,000+ GPUs through public-private partnership; subsidised access for startups and researchers |
| Innovation Centre | Development of indigenous Large Multimodal Models (LMMs) and domain-specific foundational models |
| Datasets Platform | One-stop access to quality non-personal datasets for AI startups and researchers |
| Talent | AI courses expanded at UG, PG, and PhD levels; Data and AI Labs in Tier 2 and Tier 3 cities |
| Budget 2025 | Rs 2,000 crore allocated for AI development |
AI Applications in Governance
| Sector | Application | Example |
|---|---|---|
| Healthcare | Disease diagnosis, drug discovery | AI screening for diabetic retinopathy in rural PHCs |
| Agriculture | Crop monitoring, pest prediction, yield estimation | Satellite + AI for crop insurance claims (PMFBY) |
| Education | Personalised learning, language translation | AI tutors in regional languages |
| Judiciary | Case management, legal research | SUPACE (Supreme Court Portal for Assistance in Court Efficiency) |
| Policing | Facial recognition, crime prediction | Controversial — privacy concerns |
| Urban planning | Traffic management, waste routing, energy optimisation | Smart Cities data analytics |
AI — Ethical Concerns
| Concern | Detail |
|---|---|
| Bias and discrimination | AI trained on biased data replicates and amplifies discrimination (caste, gender, racial) |
| Job displacement | Automation may displace millions of workers in IT, manufacturing, services |
| Privacy | Facial recognition, behavioural tracking, surveillance without consent |
| Deepfakes | AI-generated fake videos/audio used for fraud, political manipulation, defamation |
| Accountability | When an AI makes a wrong decision (deny loan, misdiagnose), who is responsible? |
| Digital colonialism | AI models built by Western companies on Western data may not serve Indian needs |
For Mains: India's approach is "AI for All" — using AI for inclusive development while building sovereign capability (indigenous models in Indian languages). The key governance challenge is regulation without stifling innovation.
AI Governance in India
| Feature | Detail |
|---|---|
| India AI Governance Guidelines | Released by MeitY on 5 November 2025 — non-binding, advisory framework |
| Approach | "Lightweight" and adaptive — no separate comprehensive AI law; leverages existing laws (IT Act, DPDP Act, Consumer Protection Act) |
| 7 Guiding Sutras | Trust, People First, Innovation over Restraint, Fairness & Equity, Accountability, Understandable by Design, Safety-Resilience-Sustainability |
| Proposed institutions | AI Governance Group (AIGG) for inter-ministry coordination; Technology & Policy Expert Committee (TPEC) for advisory; AI Safety Institute (AISI) for testing and standards |
| Comparison | Less prescriptive than EU AI Act (risk-based, heavy penalties); closer to Japan/USA's light-touch, innovation-first approach |
| Key mechanism | Techno-legal model — consent frameworks, content-authenticity infrastructure, AI incident databases, regulatory sandboxes |
Quantum Computing
What Is Quantum Computing?
| Feature | Detail |
|---|---|
| Classical computing | Uses bits (0 or 1); processes sequentially |
| Quantum computing | Uses qubits that can be 0, 1, or both simultaneously (superposition) |
| Key properties | Superposition (multiple states simultaneously), Entanglement (linked qubits affect each other instantly), Interference (amplify correct answers, cancel wrong ones) |
| Speed advantage | Can solve certain problems exponentially faster than classical computers (cryptography, molecular simulation, optimisation) |
National Quantum Mission (NQM)
| Feature | Detail |
|---|---|
| Approved | April 2023 |
| Budget | Rs 6,003.65 crore (8 years: 2023-2031) |
| Targets | Intermediate-scale quantum computers with 50-1000 physical qubits by 2031 (superconducting and photonic platforms) |
| Focus areas | Quantum computing, quantum communication, quantum sensing, quantum materials |
| Communication targets | Satellite-based Quantum Key Distribution (QKD) over 2000 km within India; inter-city QKD networks with quantum memories |
| Implementing bodies | DST; research hubs at IISc, IITs, TIFR, RRI |
| Global standing | India is the 6th country with a dedicated quantum mission — after USA, Austria, Finland, France, and China |
Applications
| Field | Quantum Advantage |
|---|---|
| Cryptography | Quantum computers can break current encryption (RSA) → need for quantum-resistant algorithms |
| Drug discovery | Simulate molecular interactions at atomic level → faster drug design |
| Finance | Portfolio optimisation, risk analysis, fraud detection |
| Climate modelling | Complex atmospheric simulations currently impossible for classical computers |
| Materials science | Design new materials (superconductors, catalysts) from first principles |
| Defence | Quantum sensing for submarine detection; quantum communication for unhackable military networks |
Prelims Fact: China demonstrated quantum supremacy with Jiuzhang (2020) and has quantum communication satellite Micius (2016). India's NQM aims to make India one of the top-6 quantum-capable nations. A key strategic concern: quantum computers can break RSA encryption — India must develop quantum-resistant (post-quantum) cryptography before large-scale quantum machines become operational.
Blockchain
What Is Blockchain?
| Feature | Detail |
|---|---|
| Definition | A distributed, immutable digital ledger that records transactions across multiple computers |
| Key properties | Decentralised (no single authority), Immutable (records cannot be altered), Transparent (all participants see the same data), Secure (cryptographic hashing) |
| Types | Public (Bitcoin, Ethereum — anyone can join), Private (permissioned — organisations control access), Consortium (group-managed) |
Applications in India
| Sector | Application |
|---|---|
| Land records | Tamper-proof property registration (Andhra Pradesh, Telangana pilots) |
| Supply chain | Tracking agricultural produce from farm to consumer (Coffee Board uses blockchain) |
| Healthcare | Secure patient records sharing between hospitals |
| Voting | Tamper-resistant electronic voting (conceptual) |
| Banking | Cross-border payments, trade finance (RBI exploring) |
| Government | Certificate verification, subsidy distribution, procurement transparency |
| National platform | blockchain.gov.in — NIC-led platform for government blockchain applications across states |
Cryptocurrency and India
| Feature | Detail |
|---|---|
| RBI position | Opposed private cryptocurrency; launched Central Bank Digital Currency (CBDC) — e-Rupee (pilot December 2022) |
| Taxation | 30% tax on crypto gains + 1% TDS (Finance Act 2022) |
| Regulation | No comprehensive crypto regulation; Cryptocurrency and Regulation of Official Digital Currency Bill (proposed but not introduced) |
| SC ruling | Internet and Mobile Association of India v. RBI (2020) — Supreme Court struck down RBI's 2018 circular banning banks from dealing with crypto entities |
Internet of Things (IoT)
| Feature | Detail |
|---|---|
| Definition | Network of physical devices embedded with sensors, software, and connectivity to exchange data |
| Scale | Estimated 30+ billion connected IoT devices globally by 2025 |
| India's IoT policy | 2015 — aims to create $15 billion IoT industry by 2020 (target missed; revised strategies ongoing) |
IoT Applications
| Sector | Application |
|---|---|
| Smart cities | Traffic sensors, waste bin monitoring, air quality sensors, smart street lights |
| Agriculture | Soil moisture sensors, automated irrigation, livestock tracking, cold chain monitoring |
| Healthcare | Wearable devices, remote patient monitoring, hospital asset tracking |
| Manufacturing | Industry 4.0 — predictive maintenance, quality control, supply chain automation |
| Energy | Smart grids, smart meters (250 million planned under Smart Meter National Programme) |
| Defence | Battlefield sensor networks, surveillance drones, logistics tracking |
5G and 6G
| Feature | 5G | 6G |
|---|---|---|
| Speed | Up to 10 Gbps | Up to 1 Tbps (100x faster) |
| Latency | 1 millisecond | <0.1 millisecond |
| India status | Launched October 2022; coverage across all districts by 2025 | R&D stage; deployment target by 2030 |
| Applications | AR/VR, autonomous vehicles, remote surgery, IoT at scale | Holographic communication, digital twins, AI-native networks |
Bharat 6G Vision
| Feature | Detail |
|---|---|
| Bharat 6G Vision document | Released by PM on 23 March 2023 — India's roadmap to be a frontline 6G contributor by 2030 |
| Bharat 6G Alliance (B6GA) | Launched 3 July 2023 by Minister of Communications; alliance of industry, academia, research institutions, and standards bodies |
| Three pillars | Ubiquitous coverage, affordability, sustainability |
| Phase 1 (2023-2025) | Exploratory research, proof-of-concept testing, innovative pathways |
| Phase 2 (2025-2030) | IP creation, testbed deployment; target 10% of global 6G patents |
| R&D progress | 111 research proposals approved (AI-driven networks, terahertz communications, O-RAN Massive MIMO); 100 labs set up in academic institutions; 2 testbeds funded |
| Global collaborations | MoUs with USA, South Korea, Japan, Germany, Finland, Brazil, UK |
India's 5G rollout is the fastest in the world — reaching all 750+ districts within 2 years. India's 6G roadmap envisions the telecom sector contributing nearly USD 1.2 trillion to GDP by 2035.
Semiconductor Manufacturing
| Feature | Detail |
|---|---|
| India Semiconductor Mission (ISM) | Launched 2021; Rs 76,000 crore outlay |
| Objective | Make India a global semiconductor hub — design, fabrication, packaging |
| Key projects | Tata-PSMC fab in Gujarat (28nm, $11B); Micron ATMP in Gujarat ($2.75B); Tata OSAT in Assam |
| Design | 20% of world's chip designers are Indian; 100+ semiconductor design centres in India |
| Challenge | Fabrication requires extreme precision; India's first fab expected by 2026-2027 |
| Strategic importance | Semiconductors are critical for defence, telecom, AI, EVs — supply chain disruptions (2020-2022 chip shortage) showed risks of import dependence |
Ethical and Governance Dimensions
| Technology | Key Ethical Question |
|---|---|
| AI | How do we prevent algorithmic bias and ensure accountability for AI decisions? |
| Quantum | Quantum computers can break encryption — how do we protect data before quantum-resistant cryptography is ready? |
| Blockchain | Decentralisation challenges state authority — how should governments regulate without stifling innovation? |
| IoT | Billions of connected devices create massive surveillance potential — where is the line between convenience and privacy? |
| 5G/6G | Vendor security (Huawei debate); electromagnetic radiation concerns; digital divide between connected and unconnected |
| Semiconductors | Geopolitical weaponisation of chip supply chains (US-China tech war); environmental cost of fabrication (water, energy intensive) |
| Generative AI | Copyright of AI-generated content; deepfake regulation; impact on creative industries and livelihoods |
UPSC Relevance
Prelims Focus Areas
- AI — types (narrow, general, super), Machine Learning vs Deep Learning, Generative AI
- IndiaAI Mission — approved March 2024, Rs 10,372 crore, 7 pillars
- India AI Governance Guidelines 2025 — 7 sutras, no separate AI law
- Quantum Computing — qubits, superposition, entanglement; NQM targets (50-1000 qubits by 2031)
- Blockchain — properties (decentralised, immutable), types (public, private)
- CBDC (e-Rupee) — launched when, how it differs from cryptocurrency
- 5G — launched October 2022 in India; 6G target by 2030
- Bharat 6G Alliance — launched July 2023; Bharat 6G Vision document March 2023
- India Semiconductor Mission — key projects (Tata-PSMC, Micron)
- IoT — definition, smart meter programme
Mains Focus Areas
- AI and governance — opportunities, bias risks, India's light-touch regulatory approach vs EU AI Act
- India AI Governance Guidelines 2025 — techno-legal model, seven sutras, proposed institutions (AIGG, AISI)
- Quantum computing — strategic implications (cryptography, defence), post-quantum cryptography urgency
- Blockchain for transparent governance (land records, supply chain, blockchain.gov.in)
- Digital sovereignty — indigenous AI models and LMMs vs dependence on Western tech giants
- Technology and employment — automation, reskilling, labour market disruption
- Ethical AI — accountability, transparency, fairness, deepfakes, digital colonialism
- Semiconductor self-reliance — strategic importance and challenges
- 5G/6G and digital divide — Bharat 6G Vision, global collaborations, 10% patent target
- Geopolitics of technology — semiconductor supply chains, US-China tech war, India's strategic positioning
- Convergence of technologies — AI + IoT + 5G + blockchain creating new governance and security challenges
Vocabulary
Blockchain
- Pronunciation: /ˈblɒkˌtʃeɪn/
- Definition: A decentralised, distributed digital ledger that records transactions across multiple computers in a tamper-proof and transparent manner, secured through cryptographic hashing.
- Origin: Coined from block + chain; Satoshi Nakamoto used the terms separately in the 2008 Bitcoin whitepaper, and the compound "blockchain" became standard by 2015 as the technology gained mainstream adoption.
Quantum
- Pronunciation: /ˈkwɒntəm/
- Definition: In computing, relating to a fundamentally new paradigm that exploits quantum-mechanical phenomena — superposition, entanglement, and interference — to process information using qubits rather than classical binary bits, enabling exponentially faster solutions for certain categories of problems.
- Origin: From Latin quantum ("how much"), neuter of quantus ("how great"); first used in physics by Max Planck in 1900 to describe discrete energy packets; applied to computing from the 1980s following Richard Feynman's proposals.
Metaverse
- Pronunciation: /ˈmɛtəˌvɜːrs/
- Definition: A persistent, immersive, interconnected virtual environment — experienced through virtual reality, augmented reality, or digital interfaces — in which users interact with each other and digital objects in real time.
- Origin: Coined by American novelist Neal Stephenson in his 1992 science fiction novel Snow Crash, as a portmanteau of meta- (Greek, "beyond") + universe.
Key Terms
Internet of Things
- Pronunciation: /ˈɪntərˌnɛt əv θɪŋz/
- Definition: A network of physical devices -- vehicles, appliances, sensors, wearables, industrial equipment, and infrastructure -- embedded with software, sensors, and internet connectivity that enables them to collect, exchange, and act on data autonomously without requiring direct human intervention. The number of IoT-connected devices globally is projected to exceed 30 billion by 2030. IoT operates through a cycle of sensing (data collection), communication (data transmission), processing (data analysis, often with AI), and actuation (automated response).
- Context: The term was coined in 1999 by Kevin Ashton, a British technology pioneer then at Procter & Gamble (later co-founder of MIT's Auto-ID Center), during a presentation on using RFID technology to optimise supply chains. In India, IoT applications span Smart Cities Mission (smart street lighting, traffic management, waste monitoring), precision agriculture (soil moisture sensors, drone-based crop monitoring under Kisan Drone initiative), healthcare (remote patient monitoring, wearable diagnostics), and industrial IoT (Industry 4.0 in manufacturing). The convergence of IoT + AI + 5G enables transformative applications like autonomous vehicles, remote surgery, and smart grids. India's IoT market is projected to reach $15 billion by 2030.
- UPSC Relevance: GS3 (Science & Technology). Prelims may test the basic concept, Kevin Ashton (1999), and key applications in Indian governance -- smart cities, precision agriculture, and healthcare monitoring. Mains asks about IoT's role in governance (smart traffic, utility management), convergence with AI and 5G (enabling real-time data processing and massive device connectivity), security concerns (device vulnerability, data privacy under DPDP Act 2023, botnet attacks), and specific Indian applications in Smart Cities Mission, Digital Agriculture Mission, and Digital India. The Industrial IoT dimension links to manufacturing competitiveness and Make in India.
5G Technology
- Pronunciation: /ˌfaɪv ˈdʒiː tɛkˈnɒlədʒi/
- Definition: The fifth generation of mobile telecommunications standards, offering peak theoretical speeds up to 20 Gbps (100x faster than 4G), ultra-low latency as low as 1 millisecond (vs 30-50ms for 4G), and the capacity to connect up to 1 million devices per square kilometre (100x 4G density), enabling transformative applications such as autonomous vehicles, remote surgery, industrial automation, and massive IoT deployments. 5G operates in three spectrum bands: low-band (<1 GHz, wide coverage), mid-band (1-6 GHz, balance of speed and coverage), and mmWave (24-100 GHz, ultra-fast but short range).
- Context: Developed by the 3rd Generation Partnership Project (3GPP) under the ITU's IMT-2020 programme; first commercially deployed in South Korea on 3 April 2019. In India, 5G was launched on 1 October 2022 by PM Modi at the Indian Mobile Congress. The spectrum auction (August 2022) raised Rs 1.5 lakh crore. Reliance Jio deployed over 1 million 5G cells in 12 months, completing nationwide mid-band 5G coverage by end-2023 -- one of the world's fastest nationwide rollouts outside China. Jio uses standalone (SA) 5G architecture; Airtel initially deployed non-standalone (NSA), transitioning to SA. India's Bharat 6G Vision (announced March 2023) and Bharat 6G Alliance aim for India to be among the first to develop and deploy 6G by 2030.
- UPSC Relevance: GS3 (Science & Technology / Infrastructure). Prelims tests 5G launch date in India (1 October 2022), key features (speed up to 20 Gbps, latency ~1ms, 1M devices/sq km), spectrum auction (August 2022, Rs 1.5 lakh crore), and distinction from 4G. Mains asks about 5G's role in bridging the digital divide (enabling telemedicine, remote education in rural India), spectrum allocation policy, Bharat 6G Vision, and the convergence of 5G + AI + IoT for smart governance, precision agriculture, and smart manufacturing. Know the India Semiconductor Mission connection -- 5G infrastructure requires advanced chips, linking to the semiconductor self-reliance agenda.
