Context

Myanmar's President Min Aung Hlaing made his first visit to India as head of state (May 30–June 3, 2026), beginning with the Mahabodhi Temple at Bodh Gaya before talks with PM Modi and President Murmu — a major engagement reflecting the growing salience of India–Myanmar ties amid a shifting geopolitical environment.

Background & Key Facts

• Why now: Western democracies have largely isolated Naypyidaw since the February 2021 coup that ousted Aung San Suu Kyi's government. India's Foreign Secretary Vikram Misri said India's policy is "not intended to be a commentary on internal political arrangements" — engagement is seen as the best way forward (realpolitik).
• Strategic rationale: Myanmar is India's gateway to Southeast Asia and a cornerstone of the Act East and Neighbourhood First policies; it shares a 1,643-km border with four northeastern States. Its instability directly threatens India's security.
• China factor: Beijing has aggressively cultivated Naypyidaw post-coup with infrastructure financing, arms and diplomatic cover; ceding Myanmar's strategic space to China would be a "self-inflicted wound".
• Connectivity corridors: The Kaladan Multi-Modal Transit Transport Project (Kolkata → Sittwe by sea → Kaladan River to Paletwa → road to Zorinpui in Mizoram) — sea/river parts operational (first cargo to Sittwe in May 2023), but the 109-km Paletwa–Zorinpui road in Chin State remains incomplete (targeted for 2027). The India–Myanmar–Thailand Trilateral Highway (Moreh, Manipur → Mae Sot, Thailand, ~1,360 km, with planned extensions to Cambodia, Lao PDR, Vietnam) was due in 2019 and is still unfinished.
• Cause of delays: Myanmar's internal conflict — armed groups control stretches along both corridors.
• Trade & security: Bilateral trade $1.95 billion in 2025-26; both sides agreed to expand it via a rupee–kyat settlement mechanism, with talks on critical minerals and rare earths. Myanmar reiterated its territory would not be used against India. Over 2,400 Indian nationals rescued from scam centres in 18 months.
• Education: Mekong–Ganga ICCR scholarships for Myanmar students raised from 36 to 100 annually from 2026.

Context

RTI data obtained by The Hindu reveal that 35.2% of sanctioned teaching posts across Centrally Funded Technical Institutes (CFTIs) remain vacant — raising questions about the quality of education for students who clear hyper-competitive entrance exams.

Background & Key Facts

• The data: Of 20,279 sanctioned faculty positions in 79 responding institutions, 7,132 (35.2% — roughly one in three) were vacant. 16 institutions had >50% vacancies; another 14 exceeded 40%.
• IITs: 35% of 11,019 sanctioned posts vacant across 20 IITs; nine reported >35% vacancies. IIT Kharagpur (highest sanctioned strength, 1,600) had >50% vacant (824 posts).
• NITs: 27.9% of 5,432 posts vacant across 19 NITs; NIT Andhra Pradesh highest at 68% (129 of 187).
• IIMs: 32.3% of 1,741 posts vacant across 18 IIMs; IIM Mumbai 59% (77 of 130).
• IIITs: Highest percentage — 53.5% of 1,225 posts vacant across 17 IIITs.
• Faculty-student norm: Targeted ratios are 1:10 for IITs and 1:12 for NITs.
• Scale of demand: Over 15 lakh students appeared for the JEE; roughly 80 candidates compete for every undergraduate IIT seat.
• Government response: The MoE cited "Mission Mode" recruitment drives (Sept 2022, Oct 2025); 17,878 faculty positions filled across all Central Higher Education Institutions as of Jan 24, 2026.

Context

Union Rural Development Minister Shivraj Singh Chouhan announced an interim allocation of ₹95,962 crore for the new rural employment scheme — the Viksit Bharat–Guarantee for Rozgar and Ajeevika Mission Gramin (VB-GRAM G) — which replaces the MGNREGS.

Background & Key Facts

• Outlay: Interim Central allocation ₹95,962 crore; with State shares (most States contribute ~40% of their allocation), combined outlay ~₹1.25 lakh crore.
• Break-up: States ₹92,550.17 crore; UTs ₹1,291.52 crore; ₹1,850.62 crore for Central administration and social audits.
• Top State allocations: Uttar Pradesh ₹9,721.48 crore (highest), West Bengal ₹8,508 crore, Andhra Pradesh ₹7,707.21 crore, Tamil Nadu ₹7,585.49 crore, Rajasthan ₹7,581.87 crore, Bihar ₹6,715.83 crore.
• "Seamless transition": Allocation made even before notifying the scheme's rules/formula, to ensure no gap in work availability while moving from MGNREGA; no State to face a reduction in funds.
• Distribution formula: Draft rules propose using the 16th Finance Commission's horizontal devolution formula to determine Central allocations, with greater thrust on economically weaker States.

Context

An opinion piece (by IAS officer Srivatsa Krishna) argues that the arrival of advanced "frontier" AI capable of autonomously finding and chaining software vulnerabilities marks a turning point for cybersecurity, and that India faces a structural preparedness gap. The article is built around claims about a new high-capability AI model; the exam-relevant value lies in the policy and institutional recommendations it advances.

Background & Key Facts (as argued in the op-ed)

• "Zero-day at scale": A zero-day is a previously unknown software flaw that, once found, can be exploited before a patch exists. The concern is AI that can discover such flaws — and chain multiple low-severity bugs into a single high-impact attack — autonomously and at machine speed.
• Low barriers: The UK's AI Security Institute (AISI) reportedly found that even engineers without formal security training could use such tools to produce working exploits, putting nation-state-level capability within reach of low-skilled actors.
• Patch lag: The article notes that a vast majority of AI-flagged vulnerabilities remain unpatched — the cost of finding flaws is collapsing while the cost of patching is not.
• India's exposure: India has a world-class digital front end (India Stack — UPI, Aadhaar, Account Aggregator) but much of the back-end in public-sector units, State departments and older public-sector banks runs on legacy systems (e.g., COBOL, dated Windows Server workloads).
• Institutional gap: Unlike the UK (AISI) and the US (Center for AI Standards and Innovation, CAISI), India lacks a dedicated AI Safety Institute; the IndiaAI Mission focuses on development rather than safety evaluation.
• Workforce gap: Estimated shortfall of 6,00,000+ cybersecurity professionals; patch cycles for public-sector banks measured in months, not hours.

Recommendations advanced

• A dedicated India AI Safety Institute (IAISI) with data-sharing arrangements with the UK's AISI and the US CAISI.
• A frontier-AI accountability framework (modelled on California's SB 53 and the EU AI Act, tailored to India) requiring capability and harm disclosures above defined thresholds — possibly built into the Digital Personal Data Protection (DPDP) Act.
• A ₹15,000–20,000 crore critical-sector cybersecurity upgradation fund, including legacy modernisation in public-sector banks.
• Co-develop sovereign defensive AI with domestic deep-tech firms to detect anomalies and isolate compromised segments in real time; coordination led by the PMO.
• Lead a G-20 diplomatic effort so that open-weight model releases above defined offensive-cyber capability thresholds are subject to international notification/review.
• Explore a "Defensive AI Quad"/AUKUS-Pillar-2-style partnership (US, UK, Japan) for structured access to advanced models for testing critical infrastructure.

Context

At the UN climate negotiations-linked talks in Bonn, Germany, India called for the shrinking pool of climate finance and a widening adaptation-finance gap to be tackled head-on, urging dedicated agenda space for the Paris Agreement provision obliging developed countries to provide funds to developing nations.

Background & Key Facts

• The forum: The 64th session of the UNFCCC Subsidiary Bodies (SB64), the mid-year session of the two subsidiary bodies — Implementation (SBI) and Scientific and Technological Advice (SBSTA) — that prepare draft decisions for the annual Conference of the Parties (COP). Runs June 8–18.
• Negotiating groups: India associated with the Group of 77 and China, the Like-Minded Developing Countries (LMDC), and the BASIC bloc (Brazil, South Africa, India, China).
• Finance demand: India anchored its call in the Paris Agreement obligation on developed countries to provide finance (Article 9 of the Paris Agreement).
• Unilateral trade measures: India pressed for dialogue on carbon border levies such as the EU's Carbon Border Adjustment Mechanism (CBAM), anchored in Article 3.5 of the Convention, citing adverse effects on developing countries' climate action.
• Key agenda items: Global Goal on Adaptation, Just Transition Work Programme, Global Stocktake, climate finance, and the future of the Sharm el-Sheikh Mitigation Work Programme (due to conclude in 2026, with a possible extension).
• Road to COP31: First multilateral climate meet since COP30 (Belém, Brazil); COP31 to be hosted in Antalya, Turkiye in November, with Australia presiding over the negotiations.
• India's red lines: The Mitigation Work Programme should stay facilitative and non-prescriptive; the adaptation goal balanced and Party-driven; no obligations beyond agreed mandates.

Context

In an opinion piece, China's Consul General in Mumbai notes that between December 2025 and May 2026, the top leaders of all the other permanent UNSC members visited China, and presents Beijing's framing of itself as "a central hub of global diplomacy". (As an authored perspective, it should be read as China's self-presentation.)

Background & Key Facts (the visits cited)

• France: President Macron's three-day state visit (Dec 2025) with 30+ business leaders.
• UK: PM Keir Starmer (Jan 28–31, 2026) with a large business delegation.
• US: President Trump (May 13–15, 2026) with government officials and a dozen-plus CEOs.
• Russia: President Putin's state visit (May 19–20) with a 39-member delegation.
• China's self-framing: An "independent foreign policy of peace"; multilateralism, non-aggression, dialogue over military means; UN-centred international system.
• US–China: Xi and Trump agreed on "constructive strategic stability"; Xi stressed the Taiwan question and the One China principle as the "most important issue".
• China–Russia: 2026 marks 30 years of the strategic partnership of coordination and 25 years of the Treaty of Good-Neighborliness; principles of non-alliance, non-confrontation, not targeting any third party.
• India angle: The author argues worries that this "chemistry" squeezes India's role are "ill-grounded"; both are large economies with strategic autonomy and should seek common ground and shelve differences.
• 15th Five-Year Plan: China says it will remain a key contributor to growth and open its doors wider.

Context

When Congress leader Shaktisinh Gohil's Rajya Sabha term ends on June 21, Gujarat will, for the first time since the State's formation in 1960, have no Opposition representation in the Upper House — a consequence of electoral arithmetic and the BJP's sustained dominance.

Background & Key Facts

• Assembly numbers: In the 2022 election the BJP won 156 of 182 seats; the 182-member House now has 162 BJP, 12 Congress, 4 AAP and 1 Samajwadi Party MLAs.
• Recognition threshold: No party crossed the 18-seat threshold required for official Opposition status; the fragmented Opposition cannot nominate a single Rajya Sabha candidate.
• Sweep: All 11 Rajya Sabha seats from Gujarat will belong to the BJP; the only Opposition voice from Gujarat in Parliament will be one Lok Sabha MP (Geniben Thakor, Banaskantha, who ended a 10-year LS drought in 2024).
• What an Opposition MP does: Gohil had moved a breach-of-privilege notice, challenged amendments to cooperative-bank governance, and raised State concerns from the Opposition benches.
• AAP vs Congress: The AAP (5 MLAs, 12.91% vote share in 2022) seeks to displace the Congress (12 MLAs) as the principal Opposition — a contest not for power but for recognition, which deepens the BJP's structural advantage.

Context

The European Commission proposed its 21st package of sanctions on Russia, which includes Indian entities. The package needs approval by member states before it is finalised, and comes even as the EU and India are implementing a trade agreement announced in February.

Background & Key Facts

• Focus areas: Energy, crypto, financial services and trade (including fisheries); a ban on the entry of former Russian combatants into the EU.
• Designations: 30+ designations in drone manufacturing; new export-control measures on 50 companies, including entities based in China, Türkiye, Kyrgyzstan, Kazakhstan, UAE and India.
• "Shadow fleet": Adds 30 vessels to 632 already sanctioned ships transporting Russian oil/petroleum and circumventing Western sanctions.
• Financial: Expands sanctions to 31 more Russian banks, 20 banks/crypto-related entities and oil traders in third countries; export ban on equipment for drones and on metals/alloys used in defence and aerospace.
• Context: Not the first time Indian entities have featured on an EU sanctions list, amid the EU–India trade agreement's implementation phase.

Context

A multinational team led by Charles Swanton of the Francis Crick Institute (published in Cell, May 4) has identified a set of 14 blood-plasma proteins — a "14-protein signature" — that strongly predicts a lung-cancer diagnosis years in advance, and flagged an existing drug that might reduce the risk.

Background & Key Facts

• Scale of disease: Per WHO, ~2.5 million new lung-cancer cases and 1.8 million deaths every year, driven mainly by smoking and, less so, air pollution and occupational exposure.
• Proteomics: Blood plasma carries thousands of proteins (the "plasma proteome"); studying it (proteomics) is akin to a "liquid biopsy" giving a real-time snapshot of health.
• Method: Using the UK Biobank (a repository tracking ~500,000 volunteers), the team trained a machine-learning model on ~48,000 profiles with patient characteristics to identify the 14 proteins, then validated on ~12,000 excluded patients — predicting diagnosis (median 5.1 years ahead) with >75% sensitivity.
• Mechanism hypothesis: Smoking induces mutations; environment-triggered lung inflammation follows; this culminates in cancer (their earlier work showed air-pollution-driven inflammation can awaken dormant mutant lung cells).
• Drug repurposing: In the CANTOS trial, participants on canakinumab (a Novartis anti-inflammatory) who carried the signature had a 50% lower lung-cancer risk on retrospective analysis.
• Caveats: Signature derived from limited diversity (UK, US, East Asia) and needs validation; canakinumab has serious side-effects, is prohibitively expensive (~$73,000/year in the US), and is not registered/available in India.

Context

NIMHANS, Bengaluru launched India's first dedicated Endovascular Research and Innovation (EVRI) laboratory and unveiled the alpha prototype of 'PARICHAY', an indigenous mechanical thrombectomy device for acute ischemic stroke — a step toward home-grown neurovascular technologies.

Background & Key Facts

• The device: Mechanical thrombectomy devices remove blood clots from blocked arteries in the brain during an acute ischemic stroke; the procedure is time-critical and improves outcomes if done promptly.
• The lab: The EVRI laboratory focuses on research, design, development and translation of neurovascular technologies, aiming to reduce dependence on imported medical devices.
• Funding: Funded by the Science and Engineering Research Board (SERB), now the Anusandhan National Research Foundation (ANRF).
• Workshop: Held under the theme "Atmanirbhar Bharat: Self-Reliant India in Neuroscience – Intellectual Property Rights (IPR)", in collaboration with the NIMHANS Incubation Centre and the Health and Intellectual Property Rights Academy (HIPRA).
• Goal: Clinician-led innovation to translate research into affordable, accessible advanced healthcare.

Context

At a UN Security Council meeting on the "Situation in Afghanistan", India strongly condemned Pakistan's military air strikes against Afghanistan, saying that "dressing up a massacre as a military operation does not absolve the perpetrator".

Background & Key Facts

• India's statement: Delivered by Permanent Representative Harish Parvathaneni, condemning Pakistan's "trade and transit terrorism" and air strikes causing huge civilian casualties — a "blatant assault on Afghanistan's sovereignty".
• Casualty data: India cited UNAMA (UN Assistance Mission in Afghanistan) figures of 372 civilians killed and 397 injured in just the first three months of the year, many during Ramzan.
• Legal framing: India called the strikes flagrant violations of international law, the UN Charter and the principle of state sovereignty; "Killing, maiming and orphaning civilians is not counter-terrorism."
• Tone: India accused Pakistan of "hypocrisy" — espousing international law and Islamic solidarity while carrying out strikes during Ramzan.

Context

Two science explainers: Charles Babbage's 19th-century mechanical calculating engines (the ancestors of the modern computer), and the first definitive evidence of an active "wind" from Sagittarius A*, the supermassive black hole at the Milky Way's centre.

Babbage's calculating engines

• The problem: In the early 19th century, complex mathematical tables were computed by hand by clerks (then called "computers"), slowly and with errors that could ruin buildings and ship journeys.
• Difference Engine: A large mechanical calculator using the method of finite differences — reducing the generation of function tables to repeated additions on columns of brass digit-wheels turned by a hand crank. A specialised, fast, accurate calculator for one class of problems. Babbage never finished a full-scale version; the Science Museum, London built a working "Difference Engine No. 2" (1991, 5 tonnes, 8,000 parts) from his 1846–49 drawings, vindicating his design.
• Why work stalled: A falling-out with chief engineer Joseph Clement; government funding cut off in 1842 (after >£17,000 spent); and Babbage's shift to a new idea.
• Analytical Engine: Conceived as a general-purpose programmable machine — the direct ancestor of the modern computer — with four parts: the mill (like a CPU), the store (memory, up to 1,000 numbers of 50 digits), the reader (input via punched cards from Jacquard looms), and the printer (output). It featured programmability, conditional branching ("do A if B") and looping.
• Ada Lovelace: She recognised that if numbers could represent letters, notes or images, the machine could be a universal symbol processor — the conceptual leap behind modern computing.

A black hole's elusive wind

• The finding: Using five years of ALMA telescope data (Chile), Northwestern University researchers reported a cone-shaped clearing in dense molecular gas around Sagittarius A* — at least 3.2 light-years long, opening at a 45-degree angle — the first definitive evidence of a "presently active" wind from the black hole.
• How it works: Gas pulled by the black hole swirls and is heated by friction into a plasma millions of degrees hot; the study says just 1 g of this gas can release enough energy to push away 100 kg of nearby gas — that pushed gas is the "wind".
• Why it matters: By blowing gas away, the wind regulates star formation in the galactic centre, shaping the galaxy's evolution.