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‘Next Frontier Is Digital Ownership’: Ashish Shelar Backs Tokenisation to Make Real Estate More Accessible to Young Indians

‘Next Frontier Is Digital Ownership’: Ashish Shelar Backs Tokenisation to Make Real Estate More Accessible to Young Indians
(Left to Right) - Manish Kumar, ⁠Vishal Kalantri, Pramod Borate, Ashish Shelar, Somesh Batra, Neera Inamdar
  • Maharashtra IT Minister says responsible tokenisation can lower entry barriers, improve transparency and widen participation in real-world assets
The next big shift in India’s digital economy could move beyond payments and into digital ownership, with blockchain-based tokenisation potentially making traditionally inaccessible assets such as real estate more participative and transparent, said Shri Ashish Shelar, Minister of Information Technology, Government of Maharashtra, at the launch of The Box by RealX and MST Blockchain, in partnership with Liminal Custody, in Mumbai.

Speaking at the event, Shelar said India had already demonstrated the power of digital public infrastructure through UPI and that the country’s next opportunity was to build trusted infrastructure around ownership and productive assets.

The next frontier is digital ownership,” Shelar said, pointing to the high entry costs, complex documentation, opaque processes and limited liquidity that have historically made participation in real estate difficult for large sections of Indians, particularly younger citizens.

He said responsible tokenisation could help address these barriers by representing clearly defined rights in real-world assets through secure digital units, while creating verifiable records and widening participation.

Responsible tokenization can help address these barriers. It can represent clearly defined rights in real world assets through secure digital units, create verifiable records, widen participation, and connect capital with productive opportunities,” he said.

The Minister, however, emphasised that technology by itself cannot create trust. For tokenisation to become mainstream, he said, it would need to be supported by legal enforceability, transparent disclosure, cybersecurity, reliable custody, sound governance and strong investor protection.

A token must not become a shortcut around the law. It must help make rights clearer, transactions more transparent, and accountability stronger,” Shelar said.

His remarks come at a time when Maharashtra is stepping up its focus on blockchain-based asset tokenisation. The state government has proposed the Maharashtra Digitisation and Exchange of Land Token Asset (DELTA) framework to create a legal architecture for tokenising land and other immovable assets.

Against this backdrop, Shelar said initiatives such as The Box could contribute to building the infrastructure needed to translate the potential of tokenisation into real-world applications.

He highlighted the respective roles of the three companies behind the initiative, noting that RealX’s framework seeks to connect blockchain-based digital units with legally enforceable rights in real-world assets, MST Blockchain contributes blockchain infrastructure, while Liminal Custody provides the security and custody layer.

The launch brings together two platforms, REDbox and WHITEbox, designed to address different parts of the real-world asset tokenisation ecosystem. REDbox enables real estate developers to introduce tokenised property offerings under their own brands and platforms.

Shelar also linked the evolution of such infrastructure to India’s larger development ambitions, stressing that technological advancement would need to be accompanied by greater citizen participation and trust.

India must not simply adopt emerging technology. India must build secure, trusted and responsible systems around it,” he said.

He added that scalable and credible technology platforms could play an important role in enabling wider participation in the real estate ecosystem and supporting India’s broader development objectives.

The remarks at The Box come as tokenisation moves from being largely a technology conversation to a broader discussion around ownership, liquidity, access and infrastructure, with policymakers, financial institutions and technology companies increasingly exploring its potential applications.

NASA & IBM Fuse 30 Data Layers into AI Moon Map, Unlocking Lunar Future

NASA & IBM Fuse 30 Data Layers into AI Moon Map, Unlocking Lunar Future

NASA is now using artificial intelligence to study the Moon in a whole new way. Working with IBM and top universities, they’ve built the NASA‑IBM Lunar Foundation Model — one of the first open‑source AI tools made just for lunar science. It’s trained on years of data from NASA’s Lunar Reconnaissance Orbiter and is freely available online. Anyone can explore it on Hugging Face or test the full code on GitHub, opening lunar research to the world.

NASA and IBM have released an open-source Lunar Foundation Model that fuses over 30 data layers from four missions into one AI map, improving lunar mapping accuracy by up to 23% and enabling better detection of ice, craters, and volcanic features. This breakthrough is directly tied to planning future lunar bases near the Moon’s south pole.

The NASA‑IBM Lunar Foundation Model transforms decades of Moon data into a discovery engine, revealing patterns no single mission could uncover.

NASA & IBM Fuse 30 Data Layers into AI Moon Map, Unlocking Lunar Future
A 10-image mosaic captured by NASA’s Lunar Reconnaissance Orbiter's Narrow Angle Camera between June 2012 and April 2016 showing the volcanic feature Mons Rümker and its surrounding mare plains. NASA/GSFC/Arizona State University


NASA’s AI ecosystem now spans Earth, Moon, and Sun: the Prithvi Model for geospatial Earth observation, the Lunar Foundation Model for Moon science, and the Surya Model for heliophysics. Together, they represent a “5+1” strategy to embed AI into every major science domain, enabling faster discoveries and operational applications.

Prithvi Model (Earth Observation)

  • First orbital AI foundation model: Deployed aboard the ISS and South Australia’s Kanyini satellite in 2026.
  • Training data: 13+ years of Harmonized Landsat & Sentinel‑2 imagery.
  • Applications: Flood mapping, wildfire scar detection, crop yield prediction, land‑use monitoring.
  • Strength: Performs analyses in orbit, reducing bandwidth needs by processing data before transmission.
  • Open-source: Available on Hugging Face, enabling global researchers to fine‑tune for disaster response and environmental monitoring.

Lunar Foundation Model (Moon Science)

  • Developed by NASA & IBM: Trained on 2M+ lunar image tiles from the Lunar Reconnaissance Orbiter.
  • Capabilities:
    • Crater mapping for geological dating.
    • Ice prospectivity in permanently shadowed regions.
    • Volcanic feature detection (irregular mare patches).
    • Surface change detection (e.g., SpaceX rocket impact).
  • Impact: Supports Artemis mission planning, safe landing site selection, and resource utilization for future lunar bases.

Surya Model (Heliophysics)

  • Training data: 9 years of Solar Dynamics Observatory data.
  • Architecture: Spatiotemporal transformer with spectral gating, designed for solar flare forecasting.
  • Applications:
    • Forecasting solar flares up to 2 hours ahead.
    • Predicting solar wind speed and irradiance.
    • Tracking active regions and coronal mass ejections.
  • Performance: Surpassed existing flare prediction benchmarks by 16%, offering early warnings for satellites, power grids, and aviation.
  • Open-source: Hosted on Hugging Face with GitHub code, encouraging global collaboration.

Comparative Snapshot

ModelDomainTraining DataKey Applications
PrithviEarthLandsat + Sentinel‑2 (13 yrs)Floods, crops, wildfires, land use
Lunar FoundationMoonLRO imagery (2M tiles)Craters, ice, volcanic features
SuryaSunSDO (9 yrs, multi‑wavelength)Solar flares, winds, irradiance

What the Model Does

  • 30 data layers: Integrated from nine instruments across four missions, including the Lunar Reconnaissance Orbiter and GRAIL.
  • Multimodal AI system: Combines thermal, topographic, gravitational, and multispectral data into one unified map.
  • Accuracy gains: Ice prospectivity 22% reduction in error; crater detection 19% higher accuracy at 100m resolution using half the training data; volcanic mapping 3% improvement.
Built mainly on data from NASA’s Lunar Reconnaissance Orbiter, the model is freely available on Hugging Face, with its full codebase open on GitHub for anyone to test and experiment.

Why It Matters

  • Lunar ice: Crucial for water, oxygen, and rocket fuel production. Permanently shadowed craters near the poles are prime targets.
  • Safer landings: AI helps identify stable terrain for Artemis missions and future bases.
  • Geological insights: Crater and volcanic mapping deepens understanding of the Moon’s history.
  • Open-source availability: Released via Hugging Face and GitHub, enabling universities, startups, and smaller space agencies to build on it.

Key Comparisons

FeatureImprovement vs BaselineImpact
Ice prospectivity22% RMSE reductionBetter targeting of polar ice deposits
Crater detection+19% accuracy, +19% mAPSafer landing site selection
Volcanic mapping+3% IoUImproved geological history analysis
Training efficiencyHalf the data neededAccessible for smaller research teams

Challenges Ahead

  • Domain shift: AI must adapt across different orbital sensors.
  • Shadowed regions: Extremely cold, dark craters remain hard to study.
  • Validation: Ground truth data from future missions is still needed.

Context for India

This development complements India’s Space Vision 2047, where AI-driven exploration is central to lunar resource utilization and base planning. It also parallels ISRO-backed projects like CraterMorpho, showing how global collaborations are converging on AI-powered planetary science.

NSE, India’s Largest Exchange, To List on Rival BSE



The National Stock Exchange of India (NSE) is finally going public with its long-awaited IPO, opening on 17 September 2026 and closing on 21 September 2026. The issue is priced at ₹1,700–₹1,785 per share, valuing NSE at up to ₹4.42 lakh crore, with listing expected on 24 September 2026.

NSE has officially announced IPO through its Red Herring Prospectus (RHP) and related filings on its investor relations site. The exchange confirmed the price band of ₹1,700–₹1,785 per share, subscription dates (17–21 September 2026), and listing on BSE on 24 September 2026.

Notably, NSE’s IPO was delayed nearly a decade due to regulatory hurdles and legal disputes, including SEBI’s scrutiny of governance issues. SEBI rules prohibit exchanges from self-listing, hence NSE’s shares will debut on BSE only.

NSE’s governing board and IPO committee passed resolutions approving the offer; SEBI granted listing approval.

Key NSE IPO Details

  • IPO Type: Entirely an Offer for Sale (OFS) — NSE itself will not raise fresh capital; proceeds go to selling shareholders.
  • Shares Offered: ~12.64 crore equity shares (≈5.1% of NSE’s equity).
  • Price Band: ₹1,700–₹1,785 per share.
  • Lot Size: 8 shares (minimum retail investment ≈ ₹14,280 at upper band).
  • Employee Discount: ₹170 per share for eligible NSE employees.
  • Issue Size: ~₹22,562 crore (reduced from earlier ₹30,000 crore plan).
  • Listing Date: Expected on 24 September 2026 at BSE.

Major Selling Shareholders

  • State Bank of India (SBI): Reduced stake sale to ~1.60 crore shares.
  • Morgan Stanley Strategic (Mauritius): Cut sale to ~1.10 crore shares.
  • Bank of Baroda, GIC, Stock Holding Corp, National Insurance Co.: All trimmed their offers.

NSE Market Position

  • Dominates Indian markets: 92.99% of cash equity turnover, 99.79% of equity futures, and 74.71% of equity options.
  • Global standing: World’s largest equity derivatives exchange by contracts traded for 7 consecutive years.
  • Investor base: 129 million registered investors as of March 2026.

Financial Snapshot

  • FY26 Revenue: ₹16,601 crore (↓3% YoY).
  • FY26 Net Profit: ₹10,302 crore (↓15% YoY).
  • Valuation: At upper band, ~₹4.42 lakh crore (~$47 billion), placing NSE among India’s top 10 companies by market cap.

Risks & Considerations

  • No fresh capital: Since it’s an OFS, NSE won’t receive funds for expansion.
  • Profit decline: FY26 saw a 15% drop in net profit, raising valuation concerns.
  • Crowded IPO market: September 2026 has multiple large IPOs, which could affect investor appetite.

Timeline Overview

EventDate
Anchor Investor Bidding16 Sept 2026
IPO Opens17 Sept 2026
IPO Closes21 Sept 2026
Allotment Finalization22 Sept 2026
Listing on BSE24 Sept 2026

Tata Steel Harnesses AI to Reinvent Industrial Safety

Tata Steel Harnesses AI to Reinvent Industrial Safety

Tata Steel is aggressively scaling up artificial intelligence (AI), connected workforce systems, and remote operations to transform industrial safety, repoored news agency PTI. already deploying over 10,000 AI-enabled CCTV cameras and achieving a 38% reduction in workplace injuries over the past 15 years.

In April this year, Tata steel inked a strategic partnership with Google Cloud to deploy a unified agentic AI across its global value chain, supporting industrial safety and efficiency.

Tata Steel’s achieved of a 38% reduction in Lost Time Injury Frequency Rate (LTIFR) over 15 years, and the steel major attributes it to AI surveillance, connected workforce tracking, and logistics safety systems. 

Key Highlights

  • AI Surveillance: More than 10,000 CCTV cameras equipped with AI and computer vision proactively detect unsafe acts and alert supervisors in real time.
  • Connected Workforce: AI-enabled gate passes and beacons track personnel movement, ensuring workers remain in authorized safe zones.
  • Remote Operations (iRoCs): Integrated Remote Operation Centres consolidate CCTV feeds, machinery data, and environmental inputs, allowing hazardous tasks to be monitored and controlled remotely.
  • Safety Record: Tata Steel has achieved a 38% reduction in Lost Time Injury Frequency Rate (LTIFR) across its global operations in the past 15 years.
  • Logistics Safety: Around 8,000–10,000 trucks enter Tata Steel plants daily; driver-fatigue monitoring systems detect drowsiness or mobile phone use, triggering alerts.
  • Future Vision (2035): Plans include digital twins, autonomous inspections, wearables, and GenAI-enabled safety observation systems.

Safety Technologies in Action

TechnologyApplication
AI SurveillanceDetects unsafe behavior via 10,000+ cameras; generates instant alerts
Connected WorkforceGate passes & beacons track worker movement, flagging deviations
Remote OperationsiRoCs monitor hazardous tasks remotely, reducing exposure
Logistics SafetyDriver-fatigue monitoring, overhead cable clearance sensors
Future TechDigital twins, autonomous inspections, wearables by 2035

Broader Impact

  • Proactive vs. Reactive: Unlike traditional CCTV use for post-incident reviews, Tata Steel’s AI systems aim to prevent accidents before they occur.
  • Workforce Appeal: Remote monitoring reduces exposure to hot, noisy environments, making steel industry jobs more attractive to younger workers.
  • Sustainability & Compliance: Tata Steel invested over ₹800 crore in FY2025–26 on environment, safety, and compliance projects.

Risks & Challenges

  • Data Overload: Managing thousands of camera feeds requires robust AI models; false positives could overwhelm supervisors.
  • Privacy Concerns: Tracking worker movements raises questions about surveillance ethics.
  • Implementation Costs: Scaling AI and IoT systems across vast industrial sites demands significant capital investment.

Conclusion

Tata Steel’s AI-driven safety transformation marks a paradigm shift in industrial safety, moving from reactive post-incident analysis to predictive, real-time prevention. With connected workforce systems, remote operations, and logistics monitoring, the company is setting a benchmark for global heavy industries — and its 2035 roadmap promises even deeper integration of digital twins and autonomous safety systems.

Tech, Trade, Transformation: BRICS Summit Maps Path to Shared Prosperity

Tech, Trade, Transformation: BRICS Summit Maps Path to Shared Prosperity

The XVIII BRICS Summit in New Delhi (12–13 September 2026) placed business and technology at the heart of its vision for resilience, innovation, and sustainability. Leaders of Brazil, Russia, India, China, and South Africa emphasized reforms in global economic governance, digital innovation, and trade systems to empower emerging markets and developing economies (EMDEs).
We will continue to strengthen coordination among BRICS members to make international financial institutions more representative, transparent and accountable. (Declaration, para. 17)

Reforming Global Economic Institutions

  • IMF quota reforms:
    pushing for meaningful realignment to reflect EMDEs’ growing share in global output.
  • World Bank shareholding review:
    correcting historic underrepresentation of developing countries.
  • WTO reform:
    restoring credibility through a fair dispute settlement mechanism and supporting accession bids of Ethiopia and Iran.
These reforms aim to create a more agile, inclusive, and representative global financial architecture that supports sustainable growth.

Technology, Innovation, and Digital Transformation

  • Innovation-driven growth:
    promotion across industries to strengthen resilience.
  • Digital divide:
    opposing unilateral sanctions that restrict access to technology and deepen inequality.
  • Inclusive digital cooperation:
    ensuring EMDEs benefit from technological globalization.
By fostering collaboration in emerging technologies, BRICS aims to empower businesses and societies to adapt to rapid technological change.

Trade, Supply Chains, and Business Cooperation

  • Unilateral tariffs:
    condemnation of trade barriers that disrupt global supply chains.
  • Open and equitable trade:
    support under WTO principles, including Special and Differential Treatment for developing members.
  • Zero-tariff treatment:
    recognition of China’s expansion to 53 African countries, strengthening South-South trade.
These measures reflect BRICS’ commitment to building resilient supply chains and ensuring businesses in developing economies can thrive in a fair global marketplace.

Business and Technology Outlook

  • Financial reforms:
    unlocking capital for innovation and infrastructure.
  • Digital inclusion:
    bridging technological gaps and empowering startups and enterprises.
  • Trade frameworks:
    ensuring equitable market access for businesses across the Global South.
Together, these initiatives signal a future where business and technology cooperation under BRICS will shape a more resilient, inclusive, and sustainable global economy.

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