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Subject: Science and Technology

  • Nuclear power sector likely amendments in winter session

    Introduction

    India’s nuclear sector, long constrained by legal rigidity and liability concerns, is on the verge of transformation. Two yet-to-be-proposed amendments to the Civil Liability for Nuclear Damage Act (CLNDA), 2010, and the Atomic Energy Act, 1962, mark a potential inflexion point for India’s atomic energy policy. These changes aim to attract private participation, foreign technology, and financing for nuclear power at a time when India is seeking reliable base-load alternatives to coal amid renewable intermittency.

    Why in the News

    The Government of India is preparing two key amendments to the overarching legislation governing the nuclear energy sector. These include:

    1. Easing provisions under the CLNDA, which has so far deterred private and foreign suppliers due to its unique liability clause.
    2. Tweaking the Atomic Energy Act, 1962, to permit private capital participation in nuclear projects, including Small Modular Reactors (SMRs).

    This move is significant because private participation in nuclear power generation would be a first in India’s history, potentially unlocking foreign investments, advanced technology, and new energy security pathways.

    India’s Atomic Sector: The Turning Point

    1. Policy Stagnation: India’s nuclear sector has been constrained by a state monopoly and the restrictive liability regime under CLNDA 2010.
    2. Base-load Pressure: The growing share of renewables has created an urgent need for dependable, round-the-clock power sources to stabilise the grid.
    3. Technology Imperative: Advanced nuclear technologies like Pressurised Heavy Water Reactors (PHWRs) and SMRs offer scalability, modularity, and carbon-neutral power generation.

    What are the Proposed Legal Amendments?

    Liability Law and Civil Liability for Nuclear Damage Act, 2010 (CLNDA)

    • Objective: To create a mechanism for compensating victims in the event of a nuclear accident while easing supplier liability.
    • Issue: Section 17(b) allows the operator to seek recourse from suppliers, discouraging foreign firms from supplying equipment.
    • Yet to be proposed Change: Easing or redefining supplier liability to allow greater participation by private and foreign firms such as Westinghouse (US) and Framatome (France).
    • Expected Impact: Unlocks foreign investment, technology transfer, and cost-effective reactor construction for the upcoming fleet of nuclear projects.

    Atomic Energy Act, 1962-Enabling Private Entry

    • Current Restriction: The Act allows only government entities to construct and operate nuclear power plants.
    • Yet to be proposed Amendment: Permitting private entities to invest in and operate select reactor types, especially Small Modular Reactors (SMRs).
    • Outcome: Encourages joint ventures between state-owned NPCIL and private players to accelerate capacity addition.
    • Strategic Aim: To create a hybrid public-private nuclear ecosystem focused on innovation, faster project execution, and flexible deployment.

    Small Modular Reactors (SMRs): The Next Frontier

    1. Definition: Compact, factory-assembled nuclear reactors that can be transported and installed modularly.
    2. Government Focus: NPCIL announced domestic SMR design by March 2024; Reliance Industries, Adani Power, and Tata Power have shown interest.
    3. Advantages:
      1. Scalability: Easier to construct and replicate than large nuclear plants.
      2. Flexibility: Ideal for decentralised base-load generation alongside renewables.
      3. Lower Risk: Smaller footprint and enhanced safety features.
    4. Global Trend: Aligns India with global leaders like the US, Russia, France, and China in SMR technology development.

    Why Private and Foreign Participation Matters

    1. Capital Infusion: Nuclear power projects are capital-intensive; private entry reduces fiscal burden on the exchequer.
    2. Technology Access: Enables partnerships with established players like Westinghouse, GE-Hitachi, and Framatome.
    3. Diversification: Strengthens India’s energy mix amid pressure to phase down coal.
    4. Climate Goals: Supports India’s Net Zero 2070 target by ensuring low-carbon, base-load power generation.

    Strategic Significance for India’s Energy Security

    1. Energy Reliability: Addresses intermittency of renewables through stable nuclear base-load.
    2. Geopolitical Leverage: Strengthens India’s bargaining position in global nuclear technology markets.
    3. Make in India Synergy: Promotes domestic manufacturing of nuclear components and reactors.
    4. Export Potential: Long-term goal of turning India into an SMR export hub for developing economies.

    Conclusion

    These likely to be proposed amendments mark a historic liberalisation of India’s nuclear policy, balancing liability protection with private and foreign participation. As India expands its clean energy basket, nuclear power is emerging as the bridge between renewables and reliability, supporting a long-term vision of sustainable, secure, and carbon-neutral growth.

    PYQ Relevance

    [UPSC 2017] Give an account of the growth and development of nuclear science and technology in India. What is the advantage of fast breeder reactor programme in India?

    Linkage: The PYQ connects past technological indigenization in nuclear science with current policy liberalization through CLNDA and Atomic Energy Act amendments. Both mark India’s shift toward advanced, self-reliant, and globally integrated nuclear energy development.

  • ISRO’s LVM3 Rocket launches GSAT-7R

    Why in the News?

    The Indian Space Research Organisation (ISRO) has successfully launched the GSAT-7R (CMS-03) communication satellite for the Indian Navy from the Satish Dhawan Space Centre, Sriharikota.

    Back2Basics: Launch Vehicle Mark-3 (LVM3) Rocket  

    • Overview: LVM3 formerly GSLV Mk-III, is ISRO’s heaviest and most powerful launch vehicle, built to lift 4-tonne GTO and 8-tonne LEO payloads.
    • Configuration: A 3-stage system – (1) S200 solid boosters, (2) L110 liquid core (UH25 + N₂O₄), and (2) C25 cryogenic upper stage (LH₂ + LOX) providing high thrust and precision.
    • Payload Capacity: Delivers ~4,000 kg to GTO and ~8,000 kg to LEO; GSAT-7R demonstrated >4,400 kg capability, setting a new record.
    • Mission Legacy: Successfully launched Chandrayaan-2, Chandrayaan-3, OneWeb satellites, and Gaganyaan crew module tests.
    • Cryogenic Stage: The C25 engine produces ~20 tonnes thrust; the upgraded C32 stage (22 tonnes thrust) is under development.
    • Future Upgrade: Plans to replace L110 with a semi-cryogenic kerosene–liquid oxygen stage for higher efficiency and lower cost.
    • Reliability & Role: With seven consecutive successes, LVM3 is India’s most dependable heavy launcher and baseline vehicle for Gaganyaan and Bharatiya Antariksh Station missions.
    • Strategic Significance: Establishes India’s complete autonomy in heavy launch capability, strengthening its position in the global space economy.

    About GSAT-7R (CMS-03):

    • Overview: An advanced multiband communication satellite developed to strengthen the Indian Navy’s secure communications and maritime domain awareness across the Indian Ocean Region (IOR).
    • Developer & Design: Indigenously designed by ISRO under Aatmanirbhar Bharat, advancing self-reliance in defence space infrastructure.
    • Mass & Orbit: Weighs ~4,410 kg, the heaviest communication satellite launched from Indian soil; inserted into Geosynchronous Transfer Orbit (GTO) before shifting to Geostationary Orbit (~36,000 km).
    • Technical Features: Equipped with secure, high-throughput multiband transponders supporting voice, data, and video links across ships, submarines, and aircraft.
    • Coverage & Capability: Provides pan-Indian Ocean coverage, enabling real-time encrypted communication and Blue Water operational readiness.
    • Strategic Role: Functions as a key node in the Defence Communication Network (DCN), enhancing situational awareness and naval coordination.
    • Predecessor: Succeeds GSAT-7 (Rukmini, 2013) with expanded range, bandwidth, and capacity.
    • Significance: Symbolises India’s move toward indigenous defence satellites, merging space technology and national security.
    [UPSC 2018] With reference to India’s satellite launch vehicles, consider the following statements :

    1. PSLVs launch the satellites useful for Earth resources monitoring whereas GSLVs are designed mainly to launch communication satellites.

    2. Satellites launched by PSLV appear to remain permanently fixed in the same position in the sky, as viewed from a particular location on Earth.

    3. GSLV Mk III is a four-stage launch vehicle with the first and third stages using solid rocket motors, and the second and fourth stages using liquid rocket engines.

    Which of the statements given above is/are correct?

    Options: (a) 1 only * (b) 2 and 3 (c) 1 and 2 (d) 3 only

     

  • [31st October 2025] The Hindu Op-ed: AI’s rewriting the rule of education

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in the healthcare?

    Linkage: The PYQ highlights AI’s role in improving efficiency while raising privacy concerns. This theme directly relates to ethical and responsible use of AI in education.

    Mentor’s Comment

    India’s education system is witnessing a paradigm shift. The government’s decision to integrate Artificial Intelligence (AI) into school curricula from as early as Class 3 (2026-27) marks a decisive break from conventional learning. It signals not just a content shift, but a pedagogical revolution, from rote learning to personalised, data-driven education. The move holds immense promise but also raises profound questions on inclusivity, teacher readiness, and ethical adaptation.

    Introduction

    India’s AI-enabled education initiative, aligned with the National Education Policy (NEP) 2020, seeks to embed AI learning across the entire K-12 spectrum. The objective is to build a tech-savvy, future-ready workforce capable of thriving in a knowledge-driven global economy. However, as India gears up for this transformation, the focus extends beyond hardware and software, it includes teacher capacity-building, curriculum redesign, and equitable access to technology.

    Why in the News

    India will become one of the first major education systems globally to introduce AI at the school level. This move marks a sharp contrast to traditional “one-size-fits-all” models, where uniform pedagogy dominated classrooms.

    The Ministry of Education’s pilot programs have already trained over 10,000 teachers since 2019, in collaboration with Intel, IBM, and premier national institutes. Yet, the scale of reform, covering over 9 million educators, poses a massive challenge. AI’s integration represents not only an educational reform but also a socio-economic turning point, redefining teacher roles, learning processes, and workforce readiness.

    How is AI Transforming Teaching and Learning?

    1. Personalised Learning: AI-powered platforms analyse student behaviour, learning speed, and comprehension to design custom lessons, ensuring each learner’s unique needs are addressed.
    2. Enhanced Engagement: Adaptive systems use gamified interfaces and feedback loops to sustain learner attention and motivation.
    3. Human-AI Synergy: AI acts as an assistant, not a replacement, to educators, allowing teachers to focus on empathy, creativity, and conceptual depth.
    4. Real-Time Feedback: Automated assessment tools provide instant analytics on student performance, aiding teachers in timely interventions.

    How Are Teachers Being Equipped for AI Education?

    1. Teacher Upskilling: Over 10,000 educators trained under pilot projects since 2019 by MoE in collaboration with Intel and IBM.
    2. Curriculum Integration: AI modules embedded within existing NEP frameworks from kindergarten to Class 12.
    3. Pedagogical Shift: Teachers transition from content delivery to concept facilitation, focusing on AI-driven planning, analytics, and adaptive mentoring.
    4. Challenge of Scale: India’s 9 million teachers require reskilling; success depends on effective outreach and digital readiness.

    What Are the Opportunities and Disruptions Ahead?

    1. Employment Generation: AI adoption projected to create four million new jobs by 2030, with rising demand for digital adaptability.
    2. Skill Realignment: Emphasis on critical thinking, empathy, and creativity, complementing AI’s automation capabilities.
    3. Workforce Transition: AI-enabled education aims to prepare students for jobs that do not yet exist, requiring continuous learning.
    4. Economic Implication: According to NITI Aayog, AI could add up to two million jobs in India’s tech sector in the next decade

    Does AI Ensure Inclusivity and Accessibility

    1. Breaking Barriers: AI tools help overcome language, disability, and learning challenges, enabling wider access.
    2. Customised Content: AI-powered language processing supports non-native speakers and visually impaired learners.
    3. Digital Divide Concern: Equal access to AI resources remains uneven, demanding policy interventions for infrastructure parity.
    4. Diversity Support: In a multilingual India, AI can act as a bridge between learners of different socio-linguistic backgrounds.

    Could AI Become the Great Equaliser in Education?

    1. Equitable Opportunities: AI democratises learning by offering universal access to quality resources.
    2. Smart Governance: Data-driven insights help design evidence-based educational policies.
    3. Social Equity Impact: Reduces dependence on geography or school infrastructure, aligning with SDG 4 (Quality Education).
    4. Ethical Imperatives: Algorithmic fairness, data protection, and bias elimination remain essential for sustainable AI deployment.

    Conclusion

    AI’s integration into education represents a transformative leap rather than a linear reform. The focus must remain on teacher empowerment, inclusive infrastructure, and ethical governance to ensure the AI revolution benefits all. India’s model, if executed successfully, could emerge as a global benchmark for equitable, adaptive learning in the 21st century.

  • 3I/ATLAS: A Possible 7-Billion-Year-Old Interstellar Comet Discovered

    Why in the News?

    Astronomers discovered 3I/ATLAS, a 7-billion-year-old interstellar comet, using the NASA-funded ATLAS telescope in Chile. It is now nearing its closest approach to the Sun.

    About 3I/ATLAS:

    • Discovery: It was detected on July 1, 2025, by the ATLAS telescope in Río Hurtado, Chile; confirmed interstellar due to its hyperbolic orbit and high speed (57–68 km/s).
    • Significance: It is likely the oldest comet ever observed, possibly 7.6–14 billion years old, older than our 4.5-billion-year-old solar system.
    • Nature: It appeared like an interstellar comet, showing signs of activity, including a coma (cloud of dust/ice) and likely a tail as it nears the Sun.
    • Composition: Rich in water ice and complex organic compounds; has a reddish hue indicating ancient, primordial material.
    • Size: Estimated nucleus diameter is 10–30 km, larger than previous interstellar objects like 1I/ʻOumuamua and 2I/Borisov.
    • Trajectory:
      • Closest to Earth: ~270 million km (no threat).
      • Closest to Sun: ~210 million km (Oct 29–30, 2025).
      • Will exit the solar system permanently after perihelion.
    • Scientific Importance:
      • It offers rare opportunity to study materials from another star system.
      • It can reveal clues about the formation of the Milky Way, other solar systems, and early star formation processes.

    Back2Basics: ATLAS Telescope

    • ATLAS (Asteroid Terrestrial-impact Last Alert System) is a NASA-funded early warning project for detecting small near-Earth objects (NEOs).
    • It is developed and operated by the University of Hawaii’s Institute for Astronomy.
    • As of 2025, ATLAS operates five telescopes in Hawaii, South Africa, Chile, and the Canary Islands.
    • Each telescope has a 0.5-meter Wright-Schmidt design, a 1-meter focal length, and a 110 MP CCD detector with a 7.4° field of view.
    • The system scans 20,000 square degrees of sky three times per night and provides 1–3 week warnings for asteroids 45–120 meters wide.
    • In addition to asteroids, ATLAS also discovers supernovae, comets, dwarf planets, and variable stars.

    What are Interstellar Objects?

    • Overview: Celestial bodies that originate outside the solar system and travel through it on open-ended (hyperbolic) orbits.
    • Key Characteristics:
      • Not gravitationally bound to the Sun.
      • Travel at very high speeds, often unaffected by solar gravity.
      • Do not return once they pass through the inner solar system.
    • Known Interstellar Visitors:
      1. 1I/ʻOumuamua (2017) – Asteroid-like, no coma or tail.
      2. 2I/Borisov (2019) – Active comet with typical cometary features.
    • 3I/ATLAS (2025) – Discussed above.
    • How are they Identified:
      • Hyperbolic trajectory confirmed via orbital calculations.
      • Speed at great distances exceeds gravitational escape velocity.
    • Scientific Value:
      • Provide direct clues about planetary formation beyond our solar system.
      • Can reveal chemical signatures from other star systems.
      • Allow us to study primordial matter from distant parts of the galaxy.
      • Act as natural probes from unknown regions of the Milky Way.

    How is 3I/ATLAS different from ordinary Comets?

    3I/ATLAS

    Ordinary Comets
    Origin Formed outside the Solar System; interstellar in nature Formed within the Solar System — Kuiper Belt or Oort Cloud
    Orbital Type Hyperbolic (eccentricity ≈ 6); unbound from the Sun Elliptical or parabolic; bound by the Sun’s gravity
    Velocity Very high,~57 km/s (too fast to be captured by Sun) Moderate, typically 10–40 km/s within solar orbit
    Trajectory Enters and exits Solar System once; non-repeating Periodic or long-period; returns after fixed intervals
    Tail Direction Exhibited a rare sunward (anti-tail) due to CO₂-driven ice scattering Always points away from the Sun due to radiation pressure and solar wind
    Composition High CO₂/H₂O ratio, nickel-rich, iron-poor, chemically distinct Dominated by H₂O, CO, CO₂, silicates, and dust in solar proportions
    Activity Pattern Displays phase shift: anti-tail → normal tail as it nears the Sun Predictable increase in activity and sublimation near perihelion
    Spectral Signature Strong CO₂ emission lines; unusual metallic features Typical cometary spectra, OH, CN, C₂, CO, NH₂ bands
    Size of Nucleus Estimated 0.44–5.6 km in diameter Varies widely; many are a few kilometres across
    Scientific Significance Provides insight into exoplanetary system composition and interstellar chemistry Preserves a record of early Solar System formation and evolution
    Speculative Aspects Some hypotheses suggest a possible artificial or exotic origin (no evidence) Fully natural and well-understood in origin and dynamics
    [UPSC 2011] What is the difference between asteroids and comets?

    1. Asteroids are small rocky planetoids, while comets are formed of frozen gases held together by rocky and metallic material. 2. Asteroids are found mostly between the orbits of Jupiter and Mars, while comets are found mostly between Venus and mercury. 3. Comets show a perceptible glowing tail, while asteroids do not.

    Which of the statements given above is/are correct?

    Options: (a) 1 and 2 only (b) 1 and 3 only* (c) 3 only (d) 1, 2 and 3

     

  • Big Tech’s contempt for Indian Public Health

    Introduction

    India’s Drugs and Magic Remedies (Objectionable Advertisements) Act, 1954 (DMRA) prohibits advertisements claiming to cure 54 specific medical conditions without proven efficacy. However, the advent of Big Tech advertising has bypassed this framework. Platforms such as Meta, Google, and others are now running sponsored ads for unapproved ayurvedic and homeopathic treatments, violating DMRA provisions. Despite clear illegality, these violations persist due to jurisdictional leniency, U.S.-based corporate protection, and absence of enforcement by Indian regulators.

    Why in the News

    Big Tech’s persistent advertising of unverified health products and ayurvedic “cures” on Indian social media platforms has triggered major concern. The issue marks a systemic regulatory failure, even after India’s decades-old legal framework (DMRA, PNDT Act) prohibits such practices, platforms continue to profit from misleading medical claims. The scale of harm, coupled with cross-border corporate impunity, has made this a critical governance challenge and a new frontier in public health ethics and digital accountability.

    How Has Advertising in Public Health Evolved in the Digital Era?

    1. Shift from Traditional to Digital: Advertisement control has weakened as digital and social media replaced print and broadcast.
    2. Rise of Big Tech Platforms: Meta, Google, and others allow sponsored advertisements promoting “miracle cures,” violating the DMRA.
    3. Absence of Oversight: Digital platforms operate transnationally, making regulatory enforcement difficult.
    4. Public Health Implication: Continuous exposure to false medical claims undermines rational drug use and increases health risks.

    Why Are Big Tech Platforms Violating Indian Law?

    1. Profit-Driven Algorithms: Platforms profit from “sponsored” or “boosted” posts, regardless of legality or health implications.
    2. Weak Accountability: Advertisers and intermediaries claim immunity as “third-party hosts,” avoiding liability under Indian law.
    3. Jurisdictional Escape: Since most Big Tech firms are headquartered in the U.S., Indian laws like DMRA lack cross-border enforcement power.
    4. Regulatory Vacuum: Absence of a unified digital advertising regulator allows platforms to function without deterrence.

    What Legal Frameworks Are Being Ignored?

    1. Drugs and Magic. Remedies (Objectionable Advertisement) Act, 1954: Prohibits advertisements for 54 medical conditions; violation is a criminal offence.
    2. Pre-Conception and Pre-Natal Diagnostic Techniques (PNDT) (Prohibition of Sex Selection) Act, 1994: Bans sex-selection advertisements; Big Tech platforms earlier violated this as well.
    3. Drugs & Cosmetics Act, 1940: Requires all medicines to be clinically established before advertising.
    4. IT Act, 2000 (Section 79): Provides conditional immunity to intermediaries, which is being misused to escape responsibility.
    5. U.S. Corporate Protection: American law shields these corporations from Indian prosecution, leading to managerial impunity.

    What Are the Broader Implications for Governance and Sovereignty?

    1. Erosion of Regulatory Authority: India’s ability to enforce its health and advertising laws is weakened.
    2. Public Interest vs. Corporate Freedom: Public health suffers as profit-driven digital advertising goes unchecked.
    3. Failure of Accountability Mechanisms: Courts and regulators have struggled to bring Big Tech executives under Indian jurisdiction.
    4. Threat to Rule of Law: Unequal treatment between Indian entities and global corporations undermines trust in domestic regulation.

    What Policy Reforms Are Needed?

    1. Legal Recalibration: DMRA and PNDT Act need alignment with the Information Technology Act to hold intermediaries accountable.
    2. Managerial Responsibility: Indian courts should compel Big Tech executives to appear before regulators and face prosecution if violations persist.
    3. Strengthened Digital Health Advertising Rules: Mandate health ads to carry verification tags or disclaimers by government-authorized bodies.
    4. Bilateral Cooperation: India-U.S. digital diplomacy must address cross-border legal immunity for tech corporations.
    5. Institutional Oversight: Establish a Digital Health Advertising Authority (DHAA) under the Ministry of Health to oversee compliance.

    Conclusion

    Big Tech’s disregard for Indian health advertising laws symbolizes the intersection of technology, law, and public welfare. Without regulatory modernization and corporate accountability, digital platforms will continue to operate beyond the reach of Indian law. Ensuring managerial accountability, legal parity, and public health protection must now be central to India’s digital governance reform agenda.

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?”Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?

    Linkage: Health related topics are a recurring theme in both GS2 and GS3 papers. The growing use of AI by Big Tech in healthcare mirrors the same challenge of data misuse and weak accountability seen in misleading health advertisements. Both reflect how unchecked digital algorithms can exploit personal health data for profit, posing grave risks to privacy and public trust in India’s health governance system.

  • Governance, cybersecurity move to centrestage in AI conversations

    Introduction and Why in the News

    Artificial Intelligence, once hailed purely as an efficiency enhancer, is now at the centre of ethical, cybersecurity, and accountability debates. The AI@Work roundtable in Mumbai, moderated by industry and data leaders, highlighted that as organisations adopt AI to accelerate operations, they are simultaneously confronting unprecedented risks. These risks arise from data breaches and AI unpredictability to physical and digital intrusions. Globally, the scale of the threat is stark: over 36,000 AI-driven cyber incidents have been detected recently, revealing vulnerabilities that demand robust governance mechanisms. The focus is shifting from innovation for profit to AI for responsible, transparent, and accountable governance.

    How is AI reshaping governance and business operations?

    1. AI as a catalyst: AI is transforming industries, automating functions, and unlocking efficiency, especially in large corporations like HPCL.
    2. Governance shift: The emphasis is moving from using AI for automation to using it for secure, ethical, and explainable decision-making.
    3. Corporate accountability: Company Boards are now integrating AI risk management as part of business strategy and compliance mechanisms.

    What are the major cybersecurity challenges emerging from AI integration?

    1. Dual challenge: HPCL and similar enterprises face both digital intrusions and physical tampering, such as pipeline or fuel data manipulation.
    2. Data breaches and tampering: AI systems amplify vulnerabilities by collecting, analysing, and predicting based on sensitive data.
    3. AI unpredictability: As one executive noted, AI “can behave unpredictably”, even making errors like confusing CAPTCHA, reflecting how AI mimics but doesn’t fully understand human behaviour.
    4. Evolving threats: Traditional cybersecurity tools like SIEM systems are being replaced by AI-based predictive defence models.

    How are organisations building responsible AI frameworks?

    1. Ethical design: Companies are embedding AI hygiene protocols involving legal, ethical, and operational reviews.
    2. Cross-functional training: AI safety and compliance are being promoted through employee retraining and AI literacy initiatives.
    3. Accountability culture: “Who builds, who manages, and who owns AI” is now being formalised as part of corporate accountability structures.
    4. AI governance frameworks: Emphasis on explainability, transparency, and traceability of AI decisions.

    How is India’s corporate sector responding to data and cybersecurity concerns?

    1. AI-based monitoring: Firms like HPCL have set up ATOM – Autonomous Threat Operations Machines capable of detecting and neutralising threats within minutes.
    2. Prioritisation of data integrity: Secure perimeters, application firewalls, and endpoint safety are now standard.
    3. Rise of human-AI synergy: Human oversight remains essential even as AI automates responses.
    4. New compliance model: AI-driven auditing and data lineage tools enhance traceability and prevent tampering.

    Why is accountability and explainability central to future AI governance?

    1. Ownership and transparency: AI accountability now spans design to deployment stages.
    2. Explainability: Organisations must show how AI works, not just that it works, to maintain compliance.
    3. Ethical responsibility: AI ethics involves documenting data sources, audit trails, and decisions for regulatory and consumer trust.
    4. Broader awareness: Employees and consumers alike are being educated about AI literacy and bias detection.

    Conclusion

    The shift of AI conversations towards governance and cybersecurity signifies India’s entry into a new phase of responsible innovation. As AI pervades every domain, from finance to fuel, the focus must remain on trust, transparency, and traceability. Building ethical AI ecosystems that value both progress and protection is now essential for sustainable digital governance.

    PYQ Relevance

    [UPSC 2023] Introduce the concept of Artificial Intelligence (AI). How does AI help clinical diagnosis? Do you perceive any threat to privacy of the individual in the use of AI in healthcare?

    Linkage: Both the article and the question highlight how AI, while enhancing efficiency in fields like healthcare and governance, raises critical concerns over data privacy, transparency, and ethical accountability. 

  • Rashtriya Vigyan Puraskar (RVP)

    Why in the News?

    The Government of India has announced the Rashtriya Vigyan Puraskar as Padma-style national awards for excellence in science, technology, and innovation.

    Key Highlights of 2025 Awards:

    • Vigyan Ratna: Jayant Vishnu Narlikar (posthumously) – astrophysicist and cosmologist known for the Hoyle–Narlikar theory.
    • Vigyan Shri: Eight scientists including Gyanendra Pratap Singh, Yusuf M. Shaikh, K. Thangaraj, Pradeep Thapalil, A.B. Pandit, Venkata Mohan, Mahan Mj, and Jayan N.
    • Vigyan Yuva: Fourteen young scientists across biology, physics, and data science domains.
    • Vigyan Team: CSIR Aroma Mission – for contributions to India’s flavour and fragrance sector, enhancing rural livelihood and agro-innovation.

    About Rashtriya Vigyan Puraskar (RVP):

    • Establishment: Instituted in January 2024 as India’s national Padma-style award for science and technology excellence, recognising scientists, technologists, and innovators of Indian origin, in India or abroad.
    • Purpose: Created to replace legacy awards like the Shanti Swarup Bhatnagar Prize, ensuring transparency, inclusivity, and broader scientific domain coverage.
    • Governing Authority: Administered by the Rashtriya Vigyan Puraskar Committee (RVPC), chaired by the Principal Scientific Adviser (PSA) to the Government of India, comprising 17 members from major science ministries and research councils.
    • Award Calendar:
      • Announcement: Every May 11 on National Technology Day.
      • Conferment: Every August 23 on National Space Day at Rashtrapati Bhavan, by the President of India.
    • Award Categories:
      1. Vigyan Ratna (VR): For lifetime achievement; up to 3 awards annually.
      2. Vigyan Shri (VS): For distinguished contributions; up to 25 awards.
      3. Vigyan Yuva – Shanti Swarup Bhatnagar (VY-SSB): For scientists under 45 years; up to 25 awards.
      4. Vigyan Team (VT): For collaborative research groups (≥ 3 members); up to 3 awards.

    Coverage & Eligibility:

    • Scientific Domains: Thirteen fields including physics, chemistry, biology, mathematics, medicine, engineering, agriculture, space science, and innovation.
    • Eligibility: Open to Indian citizens and Persons of Indian Origin (PIOs); self-nominations not permitted only institutional, departmental, or peer nominations accepted.
    • Award Components: Each recipient receives a Sanad signed by the President, a medallion, and a citation booklet; posthumous awards transferred to next of kin.
    [UPSC 2014] For outstanding contribution to which one of the following’ fields is Shanti Swarup Bhatnagar Prize given?

    Options: (a) Literature (b) Performing Arts (c) Science* (d) Social Service

     

  • Google’s C2S-Scale AI Model

    Why in the News?

    Google DeepMind and Google Research has unveiled Cell2Sentence-Scale 27B (C2S-Scale), an AI model based on the Gemma family, marking a major advance in scientific research.

    About C2S-Scale:

    • Overview: It is a large-language-model (LLM) foundation system created by Google Research, Google DeepMind, and Yale University, designed to interpret the language of cells by converting single-cell transcriptomic data into textual “cell sentences.”
    • Foundation & Architecture: Built on the Gamma family of open models with 27 billion parameters, it is among the world’s largest LLMs for biological data analysis.
    • Purpose: Bridges single-cell RNA sequencing (scRNA-seq) and natural-language reasoning, allowing biologists to query models conversationally and obtain mechanistic hypotheses instead of raw statistics.
    • Experimental Validation: Predicted a CK2-inhibition (silmitasertib + interferon) pathway that increases MHC-I antigen presentation in “cold” tumours, subsequently validated in live-cell assays.

    Key Features:

    • Parameter Scale: ~27 B parameters showing clear scaling-law gains in biological task performance.
    • Data Representation: Converts ranked gene-expression profiles into gene-name sequences, enabling LLMs to treat transcriptomes as text.
    • Multimodal Training: Trained on 50 million + single-cell profiles (human + mouse) plus metadata and scientific literature, aligning molecular data with context.
    • Functional Range: Performs cell-type identification, perturbation-response prediction, dataset summarisation, cluster captioning, and biological Q&A.
    • Reasoning Capability: Generates new, testable hypotheses, extending AI use from pattern detection to biological inference.
    • Open-Source Access: Model weights and code released via Hugging Face and partner labs for community replication and benchmarking.
    [UPSC 2025] 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 machine learning.

    How many 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

     

  • [pib] National Blockchain Framework

    Why in the News?

    This newscard is an excerpt from the original article published in the PIB Explainers.

    About National Blockchain Framework (NBF):

    • Launched: September 2024 by the Ministry of Electronics and Information Technology (MeitY) with a ₹64.76 crore budget.
    • Objective: Establish a unified, secure, and scalable blockchain architecture for governance and public service delivery.
    • Purpose: Promote trust, transparency, and interoperability across digital systems through a permissioned blockchain network deployed at NIC data centres in Bhubaneswar, Pune, and Hyderabad.
    • Impact: Enables ministries, regulators, and state governments to develop Blockchain-as-a-Service (BaaS) solutions for faster, tamper-proof, and verifiable transactions.

    Core Components of the NBF Ecosystem:

    1. Vishvasya Blockchain Stack:
      1. Indigenous modular platform serving as NBF’s backbone.
      2. Offers Blockchain-as-a-Service, distributed infrastructure, and open APIs for seamless e-Governance integration.
      3. Ensures permissioned, secure, and scalable operations across departments.
    2. NBFLite (Blockchain Sandbox):
      1. A testing environment for startups, academia, and innovators to build and validate blockchain prototypes.
      2. Preloaded with smart contract templates for governance and supply chain applications.
    3. Praamaanik:
      1. A blockchain-based mobile app verification system to authenticate legitimate applications and curb fake or malicious software.
      2. Enhances digital trust and cybersecurity in app ecosystems.
    4. National Blockchain Portal:
      1. A unified digital interface for blockchain adoption across government and industry.
      2. Acts as a repository of standards, policies, and interoperability guidelines under MeitY’s blockchain strategy.

    Applications in India’s Governance:

    • Certificate & Document Chain: Digitally secures government-issued documents (e.g., birth, caste, CBSE certificates) to prevent forgery; 34 crore+ verifications completed on blockchain platforms.
    • Property Chain: Records and verifies land and property transactions transparently, enabling instant ownership validation; Aims to reduce litigation and expedite land record updates.
    • Judiciary Chain: Provides immutable records of judicial data, facilitating e-delivery of notices, bail orders, and summons; 665 judiciary documents verified as of October 2025.
    • Inter-Operable Criminal Justice System (ICJS): Links police, prosecution, and judiciary databases on blockchain for seamless evidence and case management; 39,000+ documents verified on the blockchain.
    • Logistics Chain (Aushada): Tracks pharmaceutical supply chains in Karnataka from production to hospital delivery, ensuring drug authenticity and quality.
    • TRAI’s Blockchain for Telecom: Uses Distributed Ledger Technology (DLT) for tracking SMS transmissions and combating spam; covers 1.13 lakh registered entities.
    • RBI’s Digital Rupee Pilot: Demonstrates blockchain-based Central Bank Digital Currency (CBDC) for traceable and real-time retail transactions.
    • NSDL’s Blockchain Platform: Introduces Debenture Covenant Monitoring for capital markets, ensuring real-time compliance and investor protection.
    • CoE for Blockchain Technology (NIC): Acts as a consulting and training hub for ministries to pilot and scale blockchain applications using open-source systems like Hyperledger Fabric and Ethereum.

    Blockchain Technology

    Blockchain is a decentralized and distributed digital ledger technology that records transactions securely, transparently, and immutably across a network of computers.

    Key Features

    • Decentralization: No single central authority controls the data.
    • Transparency: Transactions are visible to all participants in the network.
    • Immutability: Once recorded, data cannot be altered easily.
    • Security: Uses cryptographic techniques to secure information.
    • Consensus Mechanism: Transactions are validated through mechanisms like Proof of Work (PoW) or Proof of Stake (PoS).
    [UPSC 2020] With reference to “Blockchain Technology” consider the following statements:
    1. It is a public ledger that everyone can inspect, but which no single user controls.
    2. The structure and design of blockchain is such that all the data in it are about cryptocurrency only.
    3. Applications that depend on basic features of blockchain can be developed without anybody’s permission.
    Which of the statements given above is/are correct?
    Options: (a) 1 only (b) 1 and 2 only (c) 2 only (d) 1 and 3 only*

  • Scientists use ‘Atomic Stencils’ to make designer Nanoparticles

    Why in the News?

    Scientists from the United States and South Korea have developed a novel “atomic stencilling” method to coat gold nanoparticles with polymer patches, enabling unprecedented nanoscale precision in material design.

    What is Atomic Stencilling?

    • Overview: A novel nanofabrication technique where iodide atoms act as nanoscale masks (stencils) on gold nanoparticle surfaces, allowing scientists to “paint” polymer patches with atomic-level precision.
    • Mechanism: These polymer-coated patches create distinct functional zones on each nanoparticle, enabling controlled self-assembly into complex 3D nanostructures.
    • Innovation Context: Represents a breakthrough in atomic-scale material patterning, advancing nanotechnology toward programmable matter and precision material design.

    Advantages Offered:

    • Atomic Precision: Achieves atomic-scale patterning, precisely controlling patch size, geometry, and placement.
    • High Uniformity: Generates identical nanoparticles for consistent, predictable self-assembly behaviour.
    • Scalability: Allows large-scale synthesis of patchy nanoparticles with simplified processing.
    • Material Versatility: Compatible with multiple materials — gold, silver, silica — and adaptable to various polymer coatings.
    • Enhanced Self-Assembly: Promotes spontaneous formation of ordered 3D superlattices and metamaterials.
    • Functional Tunability: Enables customisation of surface chemistry, optical, and electronic properties.

    Key Applications:

    • Targeted Drug Delivery: Functional patches enable selective binding and controlled release to specific biological targets.
    • Catalysis: Distinct surface domains improve reactivity and catalytic precision.
    • Optoelectronics & Photonics: Supports creation of plasmonic and light-responsive metamaterials.
    • Energy Systems: Enhances charge transfer and stability in batteries and solar cells.
    • Smart Materials: Forms basis for programmable, self-assembling nanostructures with adaptive functions.
    [UPSC 2022] Consider the following statements:
    1. Other than those made by humans, nanoparticles do not exist in nature.
    2. Nanoparticles of some metallic oxides are used in the manufacture of some cosmetics.
    3. Nanoparticles of some commercial products which enter the environment are unsafe for humans.
    Which of the statements given above is/are correct?
    Options: (a) 1 only (b) 3 only (c) 1 and 2 (d) 2 and 3 *