265SmithWatt 75Neumann JHuangDHassabisFLiEMusk 20 Agentic AIforU

KingCharlesLLM DeepLearning009 NormanMacrae.net EconomistDiary.com Abedmooc.com

19 Feb 2026 India Ai summit is being designed by engineers who want

all peoples productive brainpower to double by 2030

India's & Framce's Ambassadors to Washington DC

NB if country or twin places most vital to you does not appear yet at our forums we' love to start positing. chris.macrae@yahoo.co.uk s Diaspora Scots we believe AI must end digital divides in next few years

1/26 landmark Eu-India trade deal after EU head meets Modi in Delhi ..India Modi hosts 4 in ai world series summit feb 19,20 (previous editionsKings Charles UK, Korea, Macron Pari0

https://indiaai.gov.in/

India Ambassador USA scensets summit Brooking Jan 2026 -transcript indiasovai26-1.docx

where might you expect different valuation priorities in AI 5 layers

,

Layer 5 mobile action apps.

India is fisr summit to make this explicit although Paris summit celebration of local open ai model mistra paved way after inferencing breakthrough deepseek woke up west to difference between pre-training and inferencing. incomprehensible that UN nd multilaterals missed community action boat.

4 AI Models

Jensen Huang has cxlarified there are few dozen big llm models and millions of locally deep models- moreover space, robots and scienec eg bioteh pattersn maths are their won contexts. Big LLM models seem to be led by USA and China but the West has too many models that are more media and less concerned with advancing human intelligence

.

3 Sov AI infra/data invest.

There are now at least 30 conutries investng in sov ai. Five places with very difefrent purspoes ar USA China, Taiwan India, Saudi Japan Will regional clusetrs emerge round biggest gravities like these.

2Chips/hardware

Taiwan & Silicon Valley are a way ahead i innovation practice but eg discuss taiwan presentaioon tp DC Jan 2026

1 Energy

US & Saudi 

& China ahead in differemt ways.Gree enrgy leadership has become compler but probably majority of small nations dont have energy resources so need to 

unlike valley's obsession with foundation models -india ai summit to focus on India has apps as a key focus for its AI Impact Summit to showcase the range of impact that AI can unleash for the world. from scsp.ai nov newsletter : cutting edge technologies that can address the range of opportunities and challenges in areas such as AI for health care, education, cybersecurity, defense, predictive agriculture, disaster response, industrial automation, and much more. Jointly deployed AI can also meaningfully strengthen both countries’ economic and strategic positioning in third countries - India can offer a gateway to Global South partners with competitive access vis-a-vis Chinese apps and tech stack.

Grok on India AI Summit

Geok on India AI Impact summit - world series number 4: The India AI Impact Summit 2026 is indeed the fourth in the global AI summit series focused on safety, governance, and action—following the UK AI Safety Summit (November 2023 at Bletchley Park, hosted by the UK government with King Charles's involvement), the AI Seoul Summit (May 2024 in South Korea), and the France AI Action Summit (February 2025 in Paris). 

impact.indiaai.gov.in
As of December 2025, it is confirmed and scheduled for February 19–20, 2026, in New Delhi (with potential side events from February 16–20, per some announcements).
This makes it "as soon as" early 2026, aligning with the series' annual cadence. Announced by Prime Minister Narendra Modi at the France summit, it is organized by the IndiaAI Mission under the Ministry of Electronics and Information Technology (MeitY) and marks the first such event hosted in the Global South.
impact.indiaai.gov.in
Key Updates (as of December 2025)
  • Preparations and Pre-Events: Public consultations are ongoing via platforms like MyGov.in to shape the agenda, with input sought on themes like inclusion and innovation.
    mygov.in
    Pre-summit workshops (e.g., at CELE in November 2025) have focused on multistakeholder dialogue, including AI's societal impacts in healthcare and agriculture.
    In September 2025, India released eight new open-source AI models under the IndiaAI Mission, targeting sectors like agriculture, healthcare, finance, and education to demonstrate impact ahead of the summit.
  • Format and Participation: It will be a hybrid event with high-level convenings, an AI Expo (showcasing innovations), a Research Symposium, and global challenges. Expected attendees include world leaders, experts, and stakeholders from the Global South, emphasizing multilateral cooperation.
    Registration and full agenda details are slated for early 2026 via impact.indiaai.gov.in.
Comparisons with Previous SummitsThe series has evolved from conceptual discussions to actionable outcomes:
  • UK (2023): Primarily focused on AI safety risks (e.g., existential threats), with commitments like the Bletchley Declaration signed by 28 countries. Limited emphasis on practical use cases or edge applications.
  • Korea (2024): Shifted to governance frameworks, with the Seoul Declaration on responsible AI. More policy-oriented, but less on sector-specific implementations.
  • France (2025): Emphasized "AI action" for real-world deployment, including commitments on open-source models and international standards. Began incorporating use cases in areas like climate and health, but not deeply focused on edge/community apps.
  • India (2026): Builds on these by prioritizing "demonstrable impact" over high-level declarations, with a unique Global South lens. It explicitly includes full stack AI use cases (end-to-end solutions from data to deployment) and action-oriented apps at the edge (localized, community-level tools), particularly in agriculture, health, and livelihood education—areas where previous summits had lighter coverage.
    India's event aims to "leapfrog" from aspirations to measurable socio-economic progress, with dedicated casebooks, challenges, and expo demos tailored to developing contexts.
Focus on Full Stack Use Cases and Action Apps in Key AreasThe summit's agenda is structured around seven "Chakras" (interconnected domains) that directly address community-valued sectors, with a strong emphasis on practical, inclusive AI:
  • Agriculture: Dedicated casebook on AI in Agriculture; action apps for sustainable farming (e.g., crop prediction, pest detection via edge AI on mobiles). Challenges like AI for ALL will showcase frugal, low-resource tools for smallholder farmers.
  • Health: Casebook on AI Health; full stack applications for diagnostics, telemedicine, and personalized care at the edge (e.g., AI apps for rural clinics using low-bandwidth devices).
  • Livelihood Education: Casebook on AI in Education; action apps for skilling/upskilling (e.g., YUVAI Youth Challenge for AI-driven learning tools); focus on workforce transition and gender empowerment (AI by HER Challenge for livelihoods).
  • General Approach: Unlike prior summits' policy-heavy focus, India prioritizes "AI for Economic Growth and Social Good" with full stack demos (e.g., via AI Expo) and edge apps (localized, efficient solutions for low-infrastructure areas). This includes challenges like Tinkerpreneur for building community AI tools, emphasizing inclusion and resilience.
    impact.indiaai.gov.in
Leveraging India's AI Telecoms AdvantageIndia's telecom edge—driven by affordable data (e.g., Jio's low-cost plans making India one of the cheapest data markets globally at ~$0.12/GB)—is central to the summit's strategy for mobilizing data at scale.
impact.indiaai.gov.in
The event will highlight:
  • Data Democratization: Using India's vast, diverse datasets (multi-lingual, multi-modal) to train inclusive AI models, enabling edge computing for real-time apps in remote areas without high-bandwidth needs.
  • Infrastructure Focus: "Democratizing AI Resources" Chakra addresses affordable compute/data access, leveraging telecom networks for widespread AI deployment (e.g., 5G/6G pilots for rural health/agriculture apps).
  • Global South Leapfrogging: India positions itself as a bridge, exporting frugal AI solutions that capitalize on cheap data mobilization to underserved regions, accelerating adoption in education (e.g., personalized learning apps) and livelihoods (e.g., microfinance AI tools).
Overall, the summit reflects India's rising AI role, aiming for tangible deliverables like multilateral frameworks and innovation challenges to ensure AI benefits the Global South. For the latest, check impact.indiaai.gov.in.
16 web pages
AI use cases in agriculture AI in Global South More concise summary
===============================

pillars from india ai plan




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Under the pillar of the IndiaAI Innovation Centre, it is proposed to support Indian researchers, startups and entrepreneurs to build an Indian Foundational Models. Accordingly, IndiaAI invites proposals from startups, researchers, and entrepreneurs to collaborate on building state-of-the-art foundational AI models trained on Indian datasets. This initiative aims to establish indigenous AI models that align with global standards while addressing unique challenges and opportunities within the Indian context. The models can be Large Multimodal Models or a Large Language Model (LLM) or a Small Language Model (SLM) designed to support specific domains or applications. Our goal is to foster innovation, create societal impact at scale, and strengthen India’s position in the global AI ecosystem.

The Call for Proposals under the IndiaAI Innovation Initiative was launched on 30th January 2025, inviting applications from institutions, startups, research organisations, and AI innovators across the country to build state-of-the-art foundational AI models trained on Indian datasets. The purpose was to establish and foster the development of indigenous AI models aligned with global standards and benchmarks while addressing unique challenges and opportunities within the Indian context.

A total of 506 proposals have been received across the three phases.

Given the overwhelming response and continued interest, the deadline for submission under Phase 3 of the Call for Proposals was extended, with the revised deadline being 30th April 2025. Further, dates for submission of proposals/ the acceptance of new applications post April 30, 2025, will be announced subsequently, as per requirements and once the examination of proposals already submitted has been completed. As part of the first phase of approvals, four startups have been selected to initiate the development of indigenous foundational models (PIB Press Release: https://www.pib.gov.in/PressReleasePage.aspx?PRID=2132817). Further selections will be announced shortly.

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Grok on agriculture cases 


Key AI Use Cases in AgricultureArtificial Intelligence is transforming agriculture by enabling precision farming, reducing resource waste, boosting yields, and promoting sustainability. As of 2025, AI integrates with drones, satellites, IoT sensors, and robotics to address challenges like climate variability, labor shortages, and food demand. Below are prominent real-world use cases, with examples and benefits.
  1. Crop Monitoring and Health Assessment
    AI analyzes satellite/drone imagery and sensors to detect nutrient deficiencies, water stress, or growth issues in real-time.
    • Example: Platforms like Farmonaut or xarvio use multispectral imaging for early warnings.
    • Benefits: Up to 20% higher yields; reduced inputs.
  2. Plant Disease and Pest Detection
    Computer vision apps scan leaf/plant images to identify diseases/pests with high accuracy (often >95%).
    • Example: Plantix or Taranis apps; studies show 95%+ accuracy for apple scab or pests.
    • Benefits: Early intervention cuts losses by 20-50%; minimizes broad-spectrum pesticides.
  3. Precision Spraying and Weeding
    AI-guided drones/robots target weeds or pests precisely, reducing chemical use.
    • Example: DJI Agras drones or Greeneye Technology (78% herbicide reduction); Carbon Robotics' LaserWeeder.
    • Benefits: 50-80% lower costs; environmentally friendly.
  4. Autonomous Machinery and Robotics
    AI-powered tractors/robots handle planting, harvesting, and monitoring autonomously.
    • Example: John Deere's self-driving tractors; agentic AI for fleet management.
    • Benefits: Labor savings; 24/7 operations.
  5. Yield Prediction and Forecasting
    ML models use weather, soil, and historical data to predict harvests.
    • Example: IBM Watson or Gro Intelligence; accuracies enabling better planning.
    • Benefits: Optimized sales; reduced waste.
  6. Irrigation and Resource Optimization
    AI sensors predict water needs, automating irrigation.
    • Example: Systems cutting water use by 20-30%.
    • Benefits: Sustainability in water-scarce areas.
  7. Livestock Monitoring
    AI tracks animal health/behavior via cameras/sensors.
    • Example: CattleEye for remote welfare checks.
    • Benefits: Early disease detection; improved productivity.
  8. Supply Chain and Traceability
    Blockchain + AI ensures farm-to-fork tracking.
    • Example: Platforms for transparency and reduced fraud.
These use cases could unlock $250B+ in annual value globally by enhancing efficiency and resilience. Adoption is growing, especially with affordable tools for smallholders. If you'd like details on a specific case or region, let me know!
31 web pages
Details on John Deere Tractors
AI in Sustainable Fisheries

Grok on ai sustainable fisheries


AI in Sustainable Fisheries: Key Use CasesArtificial Intelligence is revolutionizing sustainable fisheries by combating overfishing, reducing bycatch, monitoring illegal activities, and optimizing aquaculture (fish farming). As of 2025, AI integrates satellite data, onboard cameras, drones, and sensors to promote ecosystem health, enforce regulations, and support food security amid declining wild stocks (one-third overfished globally). Below are major use cases with real-world examples.
  1. Monitoring and Combating Illegal, Unreported, and Unregulated (IUU) Fishing
    AI analyzes satellite imagery and vessel tracking (AIS) to detect "dark" vessels or suspicious patterns, even when transponders are off.
    • Example: Global Fishing Watch uses machine learning to map global fishing activity, identifying IUU in marine protected areas (MPAs). Studies show fully protected MPAs largely prevent industrial poaching.
    • Benefits: Reduces overfishing; enhances enforcement without constant patrols.
  2. Bycatch Reduction and Species Identification
    Onboard cameras with computer vision identify non-target species (e.g., turtles, juveniles) in real-time, allowing release before harm.
    • Example: NOAA Fisheries and systems like AI-RCAS (using YOLOv10 for fish recognition/tracking) or Smartrawl for bottom trawling.
    • Benefits: Minimizes unintended catches; supports quota compliance and biodiversity.
  3. Fish Stock Assessment and Drone/Satellite Monitoring
    Drones and AI process imagery/sonar for population estimates and habitat health.
    • Example: AZTI's AI tool classifies pelagic species from echo sounders; drones for coastal monitoring.
    • Benefits: Accurate, non-invasive surveys; informs sustainable quotas.
  4. Aquaculture Optimization (Fish Farming)
    AI monitors water quality, feed, and fish health in farms to reduce waste and disease.
    • Example: Umitron or AIoT systems for smart feeding; predictive analytics cutting mortality 20%.
    • Benefits: Sustainable alternative to wild capture; market projected to grow significantly.
  5. Remote Electronic Monitoring (REM) and Compliance
    AI automates video review from vessel cameras, flagging violations faster than manual methods.
    • Example: UK's Cefas on research vessels; Ai.Fish for event detection in 70+ countries.
    • Benefits: Cost-effective enforcement; supports traceability for consumers.
These applications could help recover depleted stocks, protect marine biodiversity, and meet growing seafood demand sustainably. Challenges include data privacy, equitable access for small-scale fishers, and integration with traditional knowledge. Ongoing projects (e.g., EU's FDF, OceanMind) show promise for global scaling.
35 web pages
Dive deeper into Global Fishing Watch
AI in sustainable agriculture

grok on 


AI in Sustainable Agriculture: Key Use CasesArtificial Intelligence is driving sustainable agriculture by optimizing resources, reducing environmental impact, and enhancing resilience against climate change. In 2025, AI integrates with IoT, satellites, drones, and robotics to support precision farming, regenerative practices, and global food security—potentially adding billions in value while cutting waste and emissions.
  1. Precision Irrigation and Water Conservation
    AI analyzes soil moisture, weather, and crop data to deliver optimal water, reducing usage by 20-30%.
    • Example: Smart systems like those from Microsoft FarmBeats or autonomous irrigation platforms.
    • Sustainability Impact: Conserves water in scarce regions; promotes efficient resource use.
  2. Crop Monitoring via Satellite and Drone Imagery
    AI processes multispectral data for real-time health insights, nutrient mapping, and yield forecasts.
    • Example: Platforms like Farmonaut or hyperspectral imaging for stress detection.
    • Sustainability Impact: Enables targeted interventions; minimizes overuse of fertilizers.
  3. Pest and Disease Detection
    Computer vision apps identify issues from images, enabling early, precise treatment.
    • Example: Mobile tools like Plantix or AI models achieving >95% accuracy.
    • Sustainability Impact: Reduces pesticide application by 20-50%; protects biodiversity.
  4. Autonomous Robotics and Precision Application
    AI-powered drones/robots target weeds, spray selectively, or harvest efficiently.
    • Example: John Deere autonomous tractors or laser weeding systems (e.g., Carbon Robotics).
    • Sustainability Impact: Lowers chemical/herbicide use by 70-80%; reduces soil compaction.
  5. Soil Health and Regenerative Practices
    AI monitors carbon sequestration, recommends rotations, and tracks emissions.
    • Example: Predictive models for soil optimization in regenerative farming.
    • Sustainability Impact: Enhances carbon storage; supports net-zero goals.
  6. Yield Prediction and Climate Adaptation
    ML forecasts harvests using historical/weather data for better planning.
    • Example: IBM Watson or Gro Intelligence tools.
    • Sustainability Impact: Reduces waste; builds resilience to extreme weather.
These innovations address key challenges like water scarcity, biodiversity loss, and emissions, with market growth projected at 23-25% CAGR through 2030. Adoption is accelerating in regions like India (via CoEs) and via platforms like Farmonaut for smallholders. If you'd like focus on a specific area (e.g., India or regenerative ag), let me know!
20 web pages
Dive into regenerative agriculture
AI in sustainable fishing
AI in the Global South: Opportunities and InitiativesThe Global South (encompassing much of Africa, Latin America, Asia, and parts of Oceania) is leveraging AI to address development challenges like poverty, food insecurity, healthcare access, and education gaps—often through frugal, inclusive innovations that prioritize affordability, local data, and community impact. In 2025, AI adoption is accelerating via initiatives like India's IndiaAI Mission (positioning India as a leader for the Global South) and events such as the India AI Impact Summit 2026 (February 19–20, New Delhi), the first in the series hosted in the Global South. These focus on "AI for impact" in agriculture, health, education, and livelihoods, with casebooks and challenges showcasing scalable solutions.Key themes include closing the "AI divide" (e.g., infrastructure/talent gaps) while promoting ethical, open-source models for leapfrogging development.Agriculture: Precision Tools for SmallholdersAI enables precision farming in resource-constrained settings, using mobile apps, drones, and satellite data for crop monitoring, pest detection, and yield optimization.
  • India: Maharashtra's AI centers + World Bank collaborations; apps like Kisan e-Mitra for multilingual farmer advice.
  • Africa: Ghana's Darli AI chatbot (WhatsApp-based, 27 languages) for pest management; Kenya's platforms for 1.1M farmers with weather insights.
  • Latin America: Drone/satellite tools for soil health in Bolivia/Brazil.
Impact: 20-40% efficiency gains, reduced losses.Healthcare: Mobile Diagnostics and TelemedicineAI powers low-cost tools for remote diagnostics, disease surveillance, and maternal health.
  • India: WHO-partnered casebooks on telemedicine/diagnostics; AI for maternal health.
  • Africa: Nigeria's AI hubs for disease prediction; drone medicine delivery pilots.
  • Broader: Gender-transformative AI (UN Women) for women's health/financial inclusion.
Impact: Bridges doctor shortages; early detection in rural areas.Education and Livelihoods: Personalized Learning and SkillingAI tools provide adaptive education and workforce training, often via mobiles.
  • India: EkStep Foundation compendiums; YUVAI challenges for youth AI tools.
  • Africa/Latin America: Platforms like Embibe (personalized learning); Peru's teacher AI support.
  • Global South Focus: Multilingual models (e.g., Bhashini) for inclusive skilling.
Impact: Addresses learning gaps; prepares for AI-era jobs.Challenges remain: Data sovereignty, bias, and infrastructure gaps—but initiatives like open-source models and South-South collaboration (e.g., India's sharing with Africa/Southeast Asia) are driving progress. The 2026 Summit aims to showcase these for global scaling.
39 web pages
IndiaAI Mission details
AI in Southeast Asia
more concise summary

here are variouis questions i have been asking to ai academics on east coast who are concerned with future purposes og india and health - please note all question errirs are entirely my fault chris.macrae@yahoo.co.uk Dear Z-A over weekend i have assembled quite lot more on what india ai summit is at crossroads of - what are people pretraining intelligence futures on from summits before india feb 19, what can they inference from at summits after feb 19 including gupta at Bloomberg 555 in april and ai+expo may 7 at dc convention center; its mainly at this bookmark https://www.linkedin.com/pulse/purposes-ai-democratisation-interper... but you have to scroll down to find different parts for example the 7 chakra have been used to invite 13 national subnetwork co-chairs - usually 2/chakra connecting europe africa and asia; i have listed biggest ai names- most are friends of purposes of modi ambani tata nilekani jensen huang not the crowd that trump OR DC-hosts brings to AI summit indeed there may never be layer community actioons apps summit like india's; one possibility is you will see something that interests gupta-after all last year summit was built around india ambassador so do they have ateam continuing that now; or if there are issues that other india student unions across health, engineering or diplomacy or fans of yann lecun and chnadrika tandon france-india ai .. can we host a zoom, or when wealthier is better can we see eg if andrea has some india students in her team or indeed which of the various sections of hopkins global halth have indian professors or leaders- I dont know how to research this so any views you have would be timely -one other thing do you know anyone at centre of global development (CGDEV)- its perhaps the last aid thinktank left; i did get business card of one of its panel speakers; over 15 years it has gone through many staff changes but if you can find someone who matches your interests at https://www.google.com/search?q=what+do+indian+researchers+now+most...

intelligence updates from linkedin friends 

AIWHI India invites 20 sov ai's agents' doubling of peoples product...

Chris AI Macrae MA DAMTP Cantab

Chris AI Macrae MA DAMTP Cantab

chartering how intelligence coded by brands. pixels. language 2026 launch Neumann ai halls of fame celebrating maths deepest trusts
January 29, 2026

8 billion thanks to RW & Happy New Years Taiwan

J30:: AIWHI - Forget G2-G7-G20 we have 4 biggest nations' intelligence bets for AI to map namely AI4 US-China-India-EU: note each's critical diaries eg Wash DC Spring Warsh & AI+Expo -

you may be aware: exponential acceleration og economic investments will never be another gamechanging decade like the 2020s -ask yourself which of Big AI4 has over-invented in big ai models contrasted with focusing brilliant agents aligning this RW viewpoint

Article content

... WANTED 17 AI+ places (diaries) needed so Ai20 jigsaw ends all gaps between ai agents AI 5 layers . Special thanks to king charles who dared demand accelerating actions & safety partnerships, ie launch of ai world series nov2023 the big 4 are already joined by UK, Korea 24 and France 25; 13 nations co-chair India's chatras for humanity on Feb 19. - add in Taiwan you have a starters for 21


RW may underestimate collaboration potential of developing world majority of brainpower with India;

Article content

what nobody should doubt is the next 5 years require deepest ever transformation of human action learning at all grades

The arrival of agents democratises AI so that smaller but more deeply diverse nations will focus and partner on full stack ai , naturally,from bottom to top (as anticipated 1956 Neumann Computer & Brain) ie layer 5 community action apps, layer 4 ai models, 3 sovereign ai platfprm investments, 2 superchips , 1 energy

At the India AI Summit, visitors will discover how India's approach to AI data sovereignty leverages Aadhaar as a foundational pillar for building trusted, scalable systems that prioritize minimal data collection and secure handling—elements that could not have been effectively developed or proven at national scale without Aadhaar's unique biometric infrastructure.
livemint.com
Specifically, Aadhaar exemplifies a "data-thin" model, storing only essential information like biometrics (captured once for deduplication and secured for authentication), name, date of birth, gender, address, and optional mobile/email details, while avoiding expansive data accumulation to reduce risks and enhance governance.
youtube.com
This architecture has enabled India to pioneer sovereign AI frameworks where data flows are controlled, sovereignty is maintained through border-contained infrastructure, and trust is embedded via minimization principles, as seen in applications like Digiyatra that keep user data on devices rather than centralized servers.
livemint.com
Without Aadhaar's proven deployment across 1.4 billion people, demonstrating resilience and ethical data practices aligned with laws like the Digital Personal Data Protection Act, such sovereign AI methodologies for inclusive, population-scale innovation would lack a real-world blueprint.
impact.indiaai.gov.in
3 web pages
Explain Digiyatra's data model
Compare with Estonia's e-ID

DigiYatra (also stylized as Digi Yatra) is India's digital, paperless, and contactless airport travel initiative, coordinated by the Ministry of Civil Aviation. Its data model is built on privacy-by-design principles, emphasizing data minimization, decentralization, and user control over personal information. This approach contrasts with traditional centralized databases and aims to reduce privacy risks while enabling seamless biometric verification using facial recognition.Core Elements of the Data ModelUser-Controlled Storage (Decentralized / Self-Sovereign Identity - SSI) All key personal data — including the verified identity credential, facial biometric template (a mathematical representation derived from your selfie), and travel details — is encrypted and stored locally on the passenger's smartphone in a secure digital wallet within the DigiYatra app.
There is no central database holding passengers' personally identifiable information (PII) or biometrics long-term. This follows Self-Sovereign Identity (SSI) principles and uses standards like Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs).
The user remains in full control: data is only shared when the passenger explicitly chooses to (e.g., before travel) and only with the specific airport of departure.

One-Time Registration and Aadhaar Linkage Registration is a one-time process via the DigiYatra app (or integrated airline/airport apps).
It involves Aadhaar-based verification (using Aadhaar number + OTP, or DigiLocker e-KYC) to fetch minimal biographic data (name, date of birth, gender, etc.).
The user captures a selfie, which is matched against the photo retrieved from Aadhaar (or another ID like passport/driver's license).
A unique DigiYatra ID Travel Credential is created — essentially a verifiable digital token linking your identity to a facial template.
Importantly, raw Aadhaar biometrics or full Aadhaar data are not stored in the app; only the verified credential is kept.

Data Sharing and Processing During Travel Before travel, the passenger uploads their boarding pass (via QR code or manual entry) and voluntarily shares the encrypted credential with the origin airport (only).
At the airport, facial recognition compares the live face to the stored template in the shared credential.
Airports operate decentralized systems: each airport runs its own local infrastructure and facial matching engines. There is no single central point of failure or storage.
Zero-knowledge / minimal-data architecture — only necessary data for the specific journey is processed.

Data Deletion / Purge Mechanism ("Designed to Forget") The shared data (credential + travel info) is automatically purged from the airport's system within 24 hours after the flight's departure (Scheduled Time of Departure - STD).
Some guidelines mention a longer 30-day retention window only for limited audit/forensic purposes by authorized agencies (e.g., BCAS), after which it is deleted.
The passenger's phone retains the credential for future use, but nothing persists centrally after the journey.

Security and Compliance Features End-to-end encryption for data in transit and at rest.
Data minimization — only essential fields are used (no unnecessary profiling).
Compliance with Indian laws: Aadhaar Act 2016, IT Act 2000 & amendments, DPDP Act 2023, and related rules.
Explicit consent is obtained for any value-added services (e.g., sharing contact info with hotels or cabs), with opt-in/opt-out options.

Summary Comparison: Centralized vs. DigiYatra ModelAspect
Traditional Centralized Model
DigiYatra Model
Data Storage
Central server/database
Passenger's smartphone (decentralized)
Biometric Storage
Centralized repository
Local on device; only template shared temporarily
Long-term Retention
Often indefinite
Auto-purge within 24 hours (airport side)
User Control
Limited
High (self-sovereign)
Breach Impact
High (massive data at risk)
Low (no central honeypot)

This model makes DigiYatra a notable real-world example of privacy-first digital identity at population scale in India, heavily enabled by Aadhaar's secure authentication backbone without requiring centralized biometric hoarding.Note: While the official design strongly emphasizes these privacy features, some civil society groups and court proceedings have raised concerns about implementation transparency, potential exemptions for security agencies, and whether all promises are fully met in practice. Always refer to the latest official DigiYatra Foundation privacy policy for the most current details.

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ENTREPRENEURIAL REVOLUTION NETWORK BENCHMARKS 2025now : Remembering Norman Macrae

AsiaAI.docx where & how 2/3 human brains are celebrating AI livelihoods

====

lelated US AI reports:

AI commission 2021

AI Action PLan July2025

Shaping AI Billion

chris.macrae@yahoo.co.uk :help celebrate library of INTELLIGENCE multipliers: -system map

  • Action Apps
  • Millions of  AI Agents 1  2  3
  • Software sovereign infrastructure 
  • Chips1 & Supercomputers
  • Energy: Genesis
  • Fusion SCSP-FI -F2
  • Quantum
  • Critical Minerals: Pax
  • Space
  • Edu-media rev li>Nature
  • workforce 1
    cvchrismacrae.docx
  • Data Science
  • Geonomics 1

views on whether AGI exists

- how close are google aws or huawei to nvidia

2025REPORT-ER: Entrepreneurial Revolution est 1976; Neumann Intelligence Unit at The Economist since 1951. Norman Macrae's & friends 75 year mediation of engineers of computing & autonomous machines  has reached overtime: Big Brother vs Little Sister !?

Overtime help ed weekly quizzes on Gemini of Musk & Top 10 AI brains until us election nov 2028

MUSKAI.docx

unaiwho.docx version 6/6/22 hunt for 100 helping guterres most with UN2.0

RSVP chris.macrae@yahoo.co.uk

EconomistDiary.com 

Prep for UNSUMMITFUTURE.com

JOIN SEARCH FOR UNDER 30s MOST MASSIVE COLLABS FOR HUMAN SUSTAINABILITY

1 Jensen Huang 2 Demis Hassabis 3 Dei-Fei Li 4 King Charles

5 Bezos Earth (10 bn) 6 Bloomberg JohnsHopkins  cbestAI.docx 7 Banga

8 Maurice Chang 9 Mr & Mrs Jerry Yang 10 Mr & Mrs Joseph Tsai 11 Musk

12 Fazle Abed 13 Ms & Mr Steve Jobs 14 Melinda Gates 15 BJ King 16 Benioff

17 Naomi Osaka 18 Jap Emperor Family 19 Akio Morita 20 Mayor Koike

The Economist 1982 why not Silicon AI Valley Everywhere 21 Founder Sequoia 22 Mr/Mrs Anne Doerr 23 Condi Rice

23 MS & Mr Filo 24 Horvitz 25 Michael Littman NSF 26 Romano Prodi 27 Andrew Ng 29 Lila Ibrahim 28 Daphne Koller

30 Mayo Son 31 Li Ka Shing 32 Lee Kuan Yew 33 Lisa Su  34 ARM 36 Priscilla Chan

38 Agnelli Family 35 Ms Tan & Mr Joe White

37 Yann Lecun 39 Dutch Royal family 40 Romano Prodi

41 Kramer  42 Tirole  43 Rachel Glennerster 44 Tata 45 Manmohan Singh 46 Nilekani 47 James Grant 48 JimKim, 49 Guterres

50 attenborough 51 Gandhi 52 Freud 53 St Theresa 54 Montessori  55 Sunita Gandhu,56 paulo freire 57 Marshall Mcluhan58 Andrew Sreer 59 Lauren Sanchez,  60 David Zapolski

61 Harris 62 Chips Act Raimundo 63 oiv Newsom. 64 Arati Prab hakarm,65 Jennifer Doudna CrispR, 66 Oren Etsioni,67 Robert Reisch,68 Jim Srreyer  69 Sheika Moza

- 3/21/22 HAPPY 50th Birthday TO WORLD'S MOST SUSTAINABLE ECONOMY- ASIAN WOMEN SUPERVILLAGE

Since gaining my MA statistics Cambridge DAMTP 1973 (Corpus Christi College) my special sibject has been community building networks- these are the 6 most exciting collaboration opportunities my life has been privileged to map - the first two evolved as grassroots person to person networks before 1996 in tropical Asian places where village women had no access to electricity grids nor phones- then came mobile and solar entrepreneurial revolutions!! 

COLLAB platforms of livesmatter communities to mediate public and private -poorest village mothers empowering end of poverty    5.1 5.2 5.3 5.4 5.5  5.6


4 livelihood edu for all 

4.1  4.2  4.3  4.4  4.5 4.6


3 last mile health services  3.1 3,2  3.3  3.4   3.5   3.6


last mile nutrition  2.1   2.2   2.3   2.4  2.5  2,6


banking for all workers  1.1  1.2  1.3   1.4   1.5   1.6


NEWS FROM LIBRARY NORMAN MACRAE -latest publication 2021 translation into japanese biography of von neumann:

Below: neat German catalogue (about half of dad's signed works) but expensive  -interesting to see how Germans selected the parts  they like over time: eg omitted 1962 Consider Japan The Economist 

feel free to ask if free versions are available 

The coming entrepreneurial revolution : a survey Macrae, Norman - In: The economist 261 (1976), pp. 41-65 cited 105 

Macrae, Norman - In: IPA review / Institute of PublicAffairs 25 (1971) 3, pp. 67-72  
 Macrae, Norman - The Economist 257 (1975), pp. 1-44 
6 The future of international business Macrae, Norman - In: Transnational corporations and world order : readings …, (pp. 373-385). 1979 >
Future U.S. growth and leadership assessed from abroad Macrae, Norman - In: Prospects for growth : changing expectations for the future, (pp. 127-140). 1977 Check Google Scholar | 
9Entrepreneurial Revolution - next capitalism: in hi-tech left=right=center; The Economist 1976
Macrae, Norman -In: European community (1978), pp. 3-6
  Macrae, Norman - In: Kapitalismus heute, (pp. 191-204). 1974
23a 

. we scots are less than 4/1000 of the worlds and 3/4 are Diaspora - immigrants in others countries. Since 2008 I have been celebrating Bangladesh Women Empowerment solutions wth NY graduates. Now I want to host love each others events in new york starting this week with hong kong-contact me if we can celebrate anoither countries winm-wins with new yorkers

mapping OTHER ECONOMIES:

50 SMALLEST ISLAND NATIONS

TWO Macroeconomies FROM SIXTH OF PEOPLE WHO ARE WHITE & war-prone

ADemocratic

Russian

=============

From 60%+ people =Asian Supercity (60TH YEAR OF ECONOMIST REPORTING - SEE CONSIDER JAPAN1962)

Far South - eg African, Latin Am, Australasia

Earth's other economies : Arctic, Antarctic, Dessert, Rainforest

===========

In addition to how the 5 primary sdgs1-5 are gravitated we see 6 transformation factors as most critical to sustainability of 2020-2025-2030

Xfactors to 2030 Xclimate XAI Xinfra Xyouth Wwomen Xpoor chris.macrae@yahoo.co.uk (scot currently  in washington DC)- in 1984 i co-authored 2025 report with dad norman.

Asia Rising Surveys

Entrepreneurial Revolution -would endgame of one 40-year generations of applying Industrial Revolution 3,4 lead to sustainability of extinction

1972's Next 40 Years ;1976's Coming Entrepreneurial Revolution; 12 week leaders debate 1982's We're All Intrapreneurial Now

The Economist had been founded   in 1843" marking one of 6 exponential timeframes "Future Histores"

IN ASSOCIATION WITH ADAMSMITH.app :

we offer worldwide mapping view points from

1 2 now to 2025-30

and these viewpoints:

40 years ago -early 1980s when we first framed 2025 report;

from 1960s when 100 times more tech per decade was due to compound industrial revolutions 3,4 

1945 birth of UN

1843 when the economist was founded

1760s - adam smithian 2 views : last of pre-engineering era; first 16 years of engineering ra including america's declaration of independence- in essence this meant that to 1914 continental scaling of engineeriing would be separate new world <.old world

conomistwomen.com

IF we 8 billion earthlings of the 2020s are to celebrate collaboration escapes from extinction, the knowhow of the billion asian poorest women networks will be invaluable -

in mathematically connected ways so will the stories of diaspora scots and the greatest mathematicians ever home schooled -central european jewish teens who emigrated eg Neumann , Einstein ... to USA 2nd quarter of the 20th century; it is on such diversity that entrepreneurial revolution diaries have been shaped 

EconomistPOOR.com : Dad was born in the USSR in 1923 - his dad served in British Embassies. Dad's curiosity enjoyed the opposite of a standard examined education. From 11+ Norman observed results of domination of humans by mad white men - Stalin from being in British Embassy in Moscow to 1936; Hitler in Embassy of last Adriatic port used by Jews to escape Hitler. Then dad spent his last days as a teen in allied bomber command navigating airplanes stationed at modernday Myanmar. Surviving thanks to the Americas dad was in Keynes last class where he was taught that only a handful of system designers control what futures are possible. EconomistScotland.com AbedMooc.com

To help mediate such, question every world eventwith optimistic rationalism, my father's 2000 articles at The Economist interpret all sorts of future spins. After his 15th year he was permitted one signed survey a year. In the mid 1950s he had met John Von Neumann whom he become biographer to , and was the only journalist at Messina's's birth of EU. == If you only have time for one download this one page tour of COLLABorations composed by Fazle Abed and networked by billion poorest village women offers clues to sustainability from the ground up like no white ruler has ever felt or morally audited. by London Scot James Wilson. Could Queen Victoria change empire fro slavemaking to commonwealth? Some say Victoria liked the challenge James set her, others that she gave him a poison pill assignment. Thus James arrived in Calcutta 1860 with the Queens permission to charter a bank by and for Indian people. Within 9 months he died of diarrhea. 75 years later Calcutta was where the Young Fazle Abed grew up - his family accounted for some of the biggest traders. Only to be partitioned back at age 11 to his family's home region in the far north east of what had been British Raj India but was now to be ruled by Pakistan for 25 years. Age 18 Abed made the trek to Glasgow University to study naval engineering.

new york

1943 marked centenary autobio of The Economist and my teenage dad Norman prepping to be navigator allied bomber command Burma Campaign -thanks to US dad survived, finished in last class of Keynes. before starting 5 decades at The Economist; after 15 years he was allowed to sign one survey a year starting in 1962 with the scoop that Japan (Korea S, Taiwan soon hk singapore) had found development mp0de;s for all Asian to rise. Rural Keynes could end village poverty & starvation; supercity win-win trades could celebrate Neumanns gift of 100 times more tech per decade (see macrae bio of von neumann)

Since 1960 the legacy of von neumann means ever decade multiplies 100 times more micro-technology- an unprecedented time for better or worse of all earthdwellers; 2025 timelined and mapped innovation exponentials - education, health, go green etc - (opportunities threats) to celebrating sustainability generation by 2025; dad parted from earth 2010; since then 2 journals by adam smith scholars out of Glasgow where engines began in 1760- Social Business; New Economics have invited academic worlds and young graduates to question where the human race is going - after 30 business trips to wealthier parts of Asia, through 2010s I have mainly sherpa's young journalist to Bangladesh - we are filing 50 years of cases on women empowerment at these web sites AbedMOOC.com FazleAbed.com EconomistPoor.com EconomistUN.com WorldRecordjobs.com Economistwomen.com Economistyouth.com EconomistDiary.com UNsummitfuture.com - in my view how a billion asian women linked together to end extreme poverty across continental asia is the greatest and happiest miracle anyone can take notes on - please note the rest of this column does not reflect my current maps of how or where the younger half of the world need to linkin to be the first sdg generation......its more like an old scrap book

 how do humans design futures?-in the 2020s decade of the sdgs – this question has never had more urgency. to be or not to be/ – ref to lessons of deming or keynes, or glasgow university alumni smith and 200 years of hi-trust economics mapmaking later fazle abed - we now know how-a man made system is defined by one goal uniting generations- a system multiplies connected peoples work and demands either accelerating progress to its goal or collapsing - sir fazle abed died dec 2020 - so who are his most active scholars climate adaptability where cop26 november will be a great chance to renuite with 260 years of adam smith and james watts purposes t end poverty-specifically we interpret sdg 1 as meaning next girl or boy born has fair chance at free happy an productive life as we seek to make any community a child is born into a thriving space to grow up between discover of new worlds in 1500 and 1945 systems got worse and worse on the goal eg processes like slavery emerged- and ultimately the world was designed around a handful of big empires and often only the most powerful men in those empires. 4 amazing human-tech systems were invented to start massive use by 1960 borlaug agriculture and related solutions every poorest village (2/3people still had no access to electricity) could action learn person to person- deming engineering whose goal was zero defects by helping workers humanize machines- this could even allowed thousands of small suppliers to be best at one part in machines assembled from all those parts) – although americans invented these solution asia most needed them and joyfully became world class at them- up to 2 billion people were helped to end poverty through sharing this knowhow- unlike consuming up things actionable knowhow multiplies value in use when it links through every community that needs it the other two technologies space and media and satellite telecoms, and digital analytic power looked promising- by 1965 alumni of moore promised to multiply 100 fold efficiency of these core tech each decade to 2030- that would be a trillion tmes moore than was needed to land on the moon in 1960s. you might think this tech could improve race to end poverty- and initially it did but by 1990 it was designed around the long term goal of making 10 men richer than 40% poorest- these men also got involved in complex vested interests so that the vast majority of politicians in brussels and dc backed the big get bigger - often they used fake media to hide what they were doing to climate and other stuff that a world trebling in population size d\ - we the 3 generations children parents grandparents have until 2030 to design new system orbits gravitated around goal 1 and navigating the un's other 17 goals do you want to help/ 8 cities we spend most time helping students exchange sustainability solutions 2018-2019 BR0 Beijing Hangzhou: 

Girls world maps begin at B01 good news reporting with fazleabed.com  valuetrue.com and womenuni.com

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online library of norman macrae--

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MA1 AliBaba TaoBao

Ma 2 Ali Financial

Ma10.1 DT and ODPS

health catalogue; energy catalogue

Keynes: 2025now - jobs Creating Gen

.

how poorest women in world build

A01 BRAC health system,

A02 BRAC education system,

A03 BRAC banking system

K01 Twin Health System - Haiti& Boston

Past events EconomistDiary.com

include 15th annual spring collaboration cafe new york - 2022 was withsister city hong kong designers of metaverse for beeings.app

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