Is it possible for engineers and humans to advance intelligence 1) to progress safe affordable homes for families 2) better nutrition for all; 3) better health for all; 4) smarter livelihood education; 5) cultural reust for women as much as men 6) better access of water for all; 7 more efficient and sustainable energy for all; 8 better opportunities for youth to generart? Of course it is but as we look around the world can we help humans everywhere that these intelligent systems are not yet being scaled.?. .
AIworld: Can we data map & celebrate places where education wants youth and tech to design healthy, wealthy and joyful jobs : Taiwan, West Coast USA, India, UK, Singapore/HK, UAE, Korea, Japan, Nordica, Canada France Germany

Probable First 10 priorities of 25X energy efficient supercomputers
  • India Billion peoples basic ai health system & universal finance id
  • Agentic AI transformation womens education 9 to 15
  • Startup open ai ecosystem bridging hundreds of first mile agri and arts/garments etc startups with nations top 10 industries (Elon)
    UK-Valley Alphafold biotech segment leaps include tropical diseases as well as worldwide cancer data
  • Translation of all mother tongues to everyone codes ai via top 2 language llms and decolonial ai geonomic maps
  • Doudna Deepest continent scaled maths problems starting with energy and health transmission
  • First follower humanoid digital twins- eg community safety jobs nobody wants
  • Open profession AI startups
  • Colossus space ai including drone & cable ai
  • Chat+inference+physical ai everywhere self driving cars' "road of things AI"
  • Taiwan AI Digital twin ai factories etc- from Asia to West
  • Earth 2.0 & all deep global data others dont want to first
  • HUmanoids on streets ai
    Japan AI 5 asian supercity benchmark 5 or more western capitals including green model for half of countries with next to no critical minerals
  • Transgeneration Mapping (beyond multilateral relocation of education for millennial generation- eg united mayors ai)
  • HK and diaspora chinese: Digital twin university health colleges
  • Neuroscience etc Mapping start up ecosystem bridging cultures of 10 + regional nations and superport value chains
  • nft and womens metagames ai - eg beingai.org
  • UAE Water ai and Parallel geo-ai system but for middle east primarily desert superports and 360 degree trade maps sustainability
  • France - nuclear datacentre ai micro open ai and top 10 eu continent industries>
  • Sports AI owned by youth- end bad media and bring eg swiss into open euro models
  • Open history- culture ai
  • 25 years of knowledge city ai uniting nordia elearning & human capital- livelihoods new to millennils
  • PLus one
    Help welcomed ongoing intelligence Case Search - source Nvidia top 100 partners in 21st C accelerated computing - alphabet olf engineering inteligence - AI, BioI, Trillion$CoroprateI, DiscoveryI, EnergyI, FinananceI, GovI, HealthI, Icubed : 1) your real 1; 2 your digital 1; 3 your brain body and communal wellbeing support from agentic ai

    Sunday, December 31, 2017

    what if UN made intelligence sdg17

    wow nvidia has restarted summits in Dc - below october 2025 -cant wait for oct 2025 jensen ai partnerships update in dc and korea

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

     QuizMeAI.docx update 1 Sept 2024 - AIQuiz co-piloted with Gemini - discuss with linkedin friends 

    pretrain UNSummitFuture - help Dr Yunus with next 70 day roadmap of Intel & Bangla2.0


    In his final brief to 1950s journalists at The Economist V Neumann said: dont just folow revolutions in computers or autonomous machines, be curious ahead of 2025's quintillion times more coectivity (give or take a few order og magnitudes)- can those who co-pilot that edge map good for everyone to linkin according to natures rules which En=istein previewed in 1905!:

    do the maths , moores law gave us million times moore 1965-1995

    moores law *time satellite telecoms rise through 2G to 5G mobilised and clouded  us another million times moore

    in 2009 the first 4 genii to ask what would happen to intelligence if we redesigned CPU to GPU computers to give million times more capacity for deep data included 

    Nvidia's Jensen Huang delivered or million times more partnership platforms; 

    Hassabis deliverer of machines that model natures science; 

    fei-fei li who was concerned humans and machines could communicate/code simply before robots do autonomous stuff- 

    Andrew Ng AI's the new electricity: who seems to do more coding that next 100 busy coders combined as well as host education channels like coursera etc -with friendly rival NVidia's first 8000 debriefings on what could happen are eg here


    By all means choose who else (Doerr's , Rice. Yang's ) is applying these foundations to places' sustainability everywhere- for example DC used to be the least sustainable place in USA but suddenly intelligence gatherings in DC rival even the valleys eg 

    August 30 AI Responsible Health Bloomberg Johns Hopkins 

    or coming October Nvidia in DC

    Discover What’s Possible With AI

    Connect with NVIDIA and our ecosystem of customers and partners doing innovative, meaningful work in the public sector. You’ll discover valuable insights from industry leaders on AI in over 50 sessions and live demos covering generative AI, remote sensing, cybersecurity, robotics, industrial digitalization, and more.  Submit your request to join us in person. 

    *To ensure the venue doesn’t exceed capacity, there will be a review process of submissions and notifications will be sent with options to attend.

    Special Address With Bob Pette

    Tuesday, October 8 | 10:00 a.m. EDT

    Bob Pette, VP and General Manager of Enterprise Platforms, NVIDIA  

    Don't miss this special address from Bob Pette, where he’ll discuss how NVIDIA's accelerated computing platform is delivering breakthrough performance in the next wave of AI, sensor processing, digital twins, cybersecurity, autonomous systems, and more.

    Bob Pette, VP and General Manager of Enterprise Platforms, NVIDIA

    Learn About the Latest Breakthroughs From Industry Experts

    Director, Office of Critical and Emerging Technologies,Department of Energy

    Helena Fu

    Director, Office of Critical and Emerging Technologies
    Department of Energy

    Sheri Bachstein CEO The Weather Company

    Sheri Bachstein

    CEO
    The Weather Company

    Greg Forrest Director, AI Foundations,Lockheed Martin

    Greg Forrest

    Director, AI Foundations
    Lockheed Martin

    Kari Briski, Vice President, Generative AI Software, NVIDIA

    Kari Briski

    Vice President, Generative AI Software
    NVIDIA

    Anthony Robbins, Vice President, Federal, NVIDIA

    Anthony Robbins

    Vice President, Federal
    NVIDIA

    Deepu Talla Vice President, Robotics and Edge Computing, NVIDIA

    Deepu Talla

    Vice President, Robotics and Edge Computing
    NVIDIA

    Explore Key Public Sector Topics

    Generative AI

    Remote Sensing

    Find out why remote sensing is so important and how it's advancing capabilities in Earth observation, financial markets, disaster response, climate monitoring, and more.

    Cybersecurity

    Cybersecurity

    Deep dive into how AI is transforming cybersecurity, including generative AI with NVIDIA NIM microservices.

    Robotics and Edge ComputinG powered by generative physical AI

    Robotics and Edge Computing

    Discover powerful, end-to-end solutions for the development, simulation, and deployment of robots powered by generative physical AI.

    Industrial Digitalization

    Industrial Digitalization

    Learn how digital twins, Universal Scene Description (OpenUSD), and generative physical AI are accelerating industrial digitalization.

    AI Policy

    AI Policy

    Hear from policy makers and industry leaders on topics including accelerated computing,  promoting global access to AI, cybersecurity, and more.

    Healthcare

    Healthcare

    Explore what's shaping the future of healthcare and driving innovative solutions to empower AI-driven enterprise ecosystems.

    Sustainable Computing

    Sustainable Computing

    Learn why accelerated computing is sustainable computing, and how AI enhances energy efficiency and reduces carbon emissions across industries.

    Isometric illustration with radio network connected to multiple use cases at the edge.

    Telecommunications

    Discover how telecom companies are using AI to transform customer experiences and network operations. This includes building sovereign AI factories, co-locating 5G and AI applications on RAN infrastructure, and advancing 6G R&D.

    Quantum Computing

    Quantum Computing

    Connect with quantum computing experts and explore the latest use cases and integrations with supercomputing and AI.

    2017 place ai begins to get serious in west as well as east

    Historically UN SDG17 has sought where partnerships of gov and corporation can advance SDGs- from 2023 the most interesting (most transformations) partnerships involved AI platforms - hence our searches

    what partnerships is a centre of gov like Washington DC linking AI and sustainability generation to

    what sdg related partnerships are world's top ai wizards and influencers inspiring to scale:

    Jensen Huang

    Demis Hassabis

    Fei-Fei Li

    Andrew Ng

    Melinda Gates Anne Doerr & Condi Rice


    Under construction aigames.solar and EconomistJapan.com  reaching out to various asian correspondents to see who they vote for as intelligences to have most advanced humanity from perspective of 2/3 humans living in asia - if you can help pls mail chris.macrae@yahoo.co.uk 

    In 1990, world class brands started wrining about genre of bran architecture - the need to prevent greenwashing. Sadly, the next 25 years has seen far more greenwashing and fake media design than sustainability demands

    The west left most of deed data science convergence of tech and data science to corporates- an extraordinary lapse (in spite of the rotten fincial position that subprime had created at start of 2009)  given 4g  frim 2009 started data beaming up and down data from every gps potentially the opportunity for great societal advantages and not just big profits to the handful of biggest digital companies eg amazon google apple microsoft facebook as well as specialist 3-services like uber bnb ...


    conversely vision generative ai has requitred so much data collection that it could only be done by new models of open source all of which can most clearly be understood by who linked in out of stanford from 2009

     From UN announcement of sdgs in 2016 spet , two different things have happened - pro-youth intelligence on western leadership of humans ai has depended on connections around stanfird and maps which the UN has started with Guterres (2023 sdg hal time - all collapsing) in year 8 of seeking deep partnnerships - both the research on un2 which has aiforgood geneva itu at its epicentre from 2017 at its transformation epicente and egov rankings - countries liike estonia have made govtech their priority in terms of service as digital has progressed; they dont necessarily have the resources to do generative ai but they have forned citizens digital ids and clarified where gov eserrvices can logically be built; slovenia has also been an importamt player in celebrating ai professors

    eastern intelligence leading humanity has become complicated - its often been mapped more round fintech edtech elearning sectors instead of the neural netwiork marths which then models most disciplines

     at ne time world economic forum, japans mayo son , some of the west'ds biggest funds leaders eg schwarzman, blookmberg...  looked well positioned but then trump and covid has made understanding of eastern ai difficult

    some transparent clues can still be seen at aisingapore - like estonia but more resourced a place serious about egov

    hong kong remains unique in connecting gaming solutions - see eg mr metaverse yat siu

    overall the west coast connectors around stanfird remain well placed because a majority of engineers are asian and  so able to 


    peace intelligence was never about building more nuclear bombs- why didnt west have enough intel to back gorbachev early 1990s

     

    RECNA StaffResearch Center for Nuclear Weapons Abolition

    NAKAMURA, Keiko Associate Professor. Former Secretary-General of “Peace Depot ... Graduated from the Faculty of Education at Nagasaki University and currently ...
    Aug 8, 2024 — We spoke about this with Nakamura Keiko, an associate professor at Nagasaki University's Research Center for Nuclear Weapons Abolition. PEOPLE ...
    Apr 12, 2024 — Associate Professor, Research Center for Nuclear Weapons Abolition, Nagasaki University. Aug, 2001 - Mar, 2012. Researcher, Secretary General ...
    May 19, 2023 — KUHN: Keiko Nakamura is an associate professor at the Nagasaki University Research Center for Nuclear Weapons Abolition. NAKAMURA: They ..

    back in 1990s dismal global consultamts employed by oligrachs distributed all of russias resources into a few control making something worse than communism1.0 - dictatoirshop people smuggling, arms and drugs and mercenary servies workdwide run by big bi=usinessmen.- why did the west neglect the eoples needs

    Saturday, December 30, 2017

    SOS 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 UNsummitfuture.com Economistdiary.com

    Friday, November 10, 2017

     =

    look out for nvidia conference telecoms talk- how are us telecoms positioned on transformation versus international - grok anticipates

    Is America Ahead of Leading Nations in Telecom?America is a leader but not unchallenged in telecom AI as of 2025, ranking #1 globally in 5G coverage (99% population) and AI adoption (49% of telcos embed AI daily, KPMG 2025), ahead of China (#2, 95% 5G but sovereignty-focused) and South Korea (#3, 6G pilots). The U.S. excels in innovation (e.g., Open RAN, AI APIs via Aduna/CAMARA), but trails in cost efficiency (e.g., India's Jio at 50% lower capex) and scale (China's 1.2B subscribers). The GTC panel's U.S. focus (AT&T, Verizon, T-Mobile) highlights strengths in enterprise AI (e.g., $10B+ JEDI contracts), but global rivals like China's Huawei (quantum-secure 6G) and Europe's Nokia (AI-native RAN) close the gap.

    Metric

    U.S. (Ahead)

    Leading Challengers (Behind U.S.)

    5G Coverage

    99% population (T-Mobile/Verizon lead)

    China: 95% (Huawei dominance); S. Korea: 98% (SK Telecom).

    AI Adoption

    49% daily ops (KPMG 2025); T-Mobile's IntentCX automates 70% queries.

    India: 40% (Jio's Open Telecom AI Platform, 2025, 1.2B users); EU: 35% (Nokia's 6G AI).

    Innovation (APIs/6G)

    Aduna/CAMARA standardized APIs (2025, AT&T/Verizon); AI-RAN centers.

    China: Huawei's 6G prototypes (quantum-secure); Japan: NTT's AI-6G trials.

    Cost Efficiency

    High capex ($20B+ annual); 20% energy savings via NVIDIA Aerial.

    India: Jio's low-cost AI (50% capex reduction via AMD/Cisco/Nokia, 2025); China: State-subsidized scale.

    Overall Ranking

    #1 (GSMA 2025) for enterprise AI; #2 in 6G readiness (Ericsson Mobility Report).

    China #1 in scale; India #3 in affordability; S. Korea #2 in 6G pilots.

    U.S. leads in commercial innovation (e.g., Verizon's AI cybersecurity, $2B revenue 2025) but risks falling behind in sovereign/cost models (e.g., Jio's 40% lower latency at 30% cost).How Does Being a Lead Telco Impact Data Sovereignty? (e.g., India's Reliance Jio Cost Advantages)Leading telcos like U.S. carriers (AT&T, Verizon, T-Mobile) enhance data sovereignty by controlling infrastructure for localized AI (e.g., edge computing for secure processing), but at higher costs due to regulatory compliance (e.g., CMMC for defense data). This strengthens national security (e.g., NTIA's 2025 standards) but limits affordability. In contrast, India's Reliance Jio exemplifies cost advantages through sovereign AI, reducing dependency on foreign clouds while scaling for 1.2B users.

    • Impact on Sovereignty:Leaders' Advantages: U.S. telcos enable "AI-native" sovereignty via APIs (e.g., T-Mobile's AI Connect, 2025, $1B investment for edge AI factories) and Open RAN (e.g., Verizon's 30% cost reduction). This keeps data local, complying with GDPR-like rules, but high capex ($20B/year) raises barriers for SMEs.Challenges: Sovereignty can increase costs (e.g., AT&T's AI fraud detection adds 10–15% overhead for compliance). Global leaders like Jio show "low-cost sovereignty" via open platforms.

    • India's Reliance Jio Cost Advantages:Jio's Open Telecom AI Platform (launched MWC 2025 with AMD, Cisco, Nokia) integrates agentic AI for networks, cutting total cost of ownership (TCO) 40–50% via multimodal LLMs/SLMs (e.g., Turbo v2.5 for real-time optimization).

    Leading telcos boost sovereignty through control but at premium costs; Jio's approach shows low-cost alternatives via open AI, enabling broader access for emerging markets.For your book, these changes exemplify "schools engineers" redesigning telecom for abundance—AI-native networks as the backbone for green skills/nursing education. If you'd like more on Jio's platform or U.S. innovations, let me know!

    Saturday, December 31, 2016

    US Journey Yunus 2008-2016 from SFG 1 purpose of money to SFG 16 peace

     When our diary first covered Ynnus in USA Jan 2008 he was trying to help Ameriicans prevent subprime sdg1

    At his last meetings celebrating youth yes you can USA - he was going for peace summit to twin with UNGA launch of SDGs


    Now he's back in 2024 for 5 says UN SummitFuture NY Sept 25

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

    More on summits of Nobel Peace Laureates- My understanding is that Gorbachev began anuakl invitations to a special event where all the speakers were nobel peace laureates; i was privilieged to watch one in Warsaw 2013 (sadly Gorbachev was ill but Lech Walesa's speech blew my mind and Yunus was on good form; Walesa explained how Russia still owned many value chains which eg Poland suplied parts to and his ubneasy feeling that Rissia hadnt given up on reaquiring many of the oled ussr states; For many tears the secretariat of world peace summist was the environmental Club of Rome (then in Rome now I think in Switerland).

     Fall 2024, of 200+ leaders supporting Yunus redsign Bangladesh , Nobel Laureates led the way 


    Nobel Laureates

    Peace 


    Albert Arnold Gore Jr., Peace, 2007,   Barack H. Obama, Peace, 2009,  H.E. José Ramos Horta, Peace, 1996,  Mairead Corrigan-Maguire, Peace, 1976,  Shirin Ebadi, Peace, 2003, Mohamed ElBaradei, Peace, 2005 ,Leymah Roberta Gbowee, Peace, 2011,  Tawakkol Karman, Peace, 2011,  Nadia Murad, Peace, 2018,  Denis Mukwege, Peace, 2018,  Dmitry Muratov, Peace, 2021,  Oscar Arias Sanchez, Peace, 1987  Juan Manuel Santos, Peace, 2016,  Jody Williams, Peace, 1997

    Chemistry      

    Thomas R. Cech, Chemistry, 1989,   Emmanuelle Charpentier, Chemistry, 2020  .Aaron Ciechanover, Chemistry, 2004  ,Johann Deisenhofer, Chemistry, 1988,  Gerhard Ertl, Chemistry, 2007,  Joachim Frank, Chemistry, 2017  ,Richard Henderson, Chemistry, 2017,  Roald Hoffmann, Chemistry, 1981,  Robert Huber, Chemistry, 1988,  Martin Karplus, Chemistry, 2013,  Brian K. Kobilka, Chemistry, 2012,  Roger D. Kornberg, Chemistry, 2006,  Yuan T. Lee, Chemistry, 1986,  Robert J. Lefkowitz, Chemistry, 2012,  Michael Levitt, Chemistry, 2013,  Hartmut Michel, Chemistry, 1988,  Paul L. Modrich, Chemistry, 2015,  William E. Moerner, Chemistry, 2014,  John C. Polanyi, Chemistry, 1986,  Jean-Pierre Sauvage, Chemistry, 2016,  Richard R. Schrock, Chemistry, 2005,  Sir John E. Walker, Chemistry, 1997,  Arieh Warshel, Chemistry, 2013,  Sir M. Stanley Whittingham, Chemistry, 2019,  Sir Gregory P. Winter, Chemistry, 2018

    Economics     

    Finn E. Kydland, Economics, 2004,  Eric S. Maskin, Economics, 2007,  Christopher A. Pissarides, Economics, 2010,  Joseph E. Stiglitz, Economics, 2001

    Literature                    

    J. M. Coetzee, Literature, 2003,  Elfriede Jelinek, Literature, 2004,  Herta Muller, Literature, 2009,  Wole Soyinka, Literature, 1986

    Medicine                    

    Werner Arber, Medicine, 1978,  David Baltimore, Medicine, 1975,  Francoise Barre-Sinoussi, Medicine, 2008,  Mario R. Capecchi, Medicine, 2007,  H. Robert Horvitz, Medicine, 2002,  Sir Michael Houghton, Medicine, 2020,  Tim Hunt, Medicine, 2001,  Louis J. Ignarro, Medicine, 1998,  William G. Kaelin Jr., Medicine, 2019,  Barry J. Marshall, Medicine, 2005,  Craig C. Mello, Medicine, 2006,  Edvard Moser, Medicine, 2014,  May-Britt Moser, Medicine, 2014,  Charles M. Rice, Medicine, 2020,  Sir Richard J. Roberts, Medicine, 1993,  Michael Rosbash, Medicine, 2017,  Randy W. Schekman, Medicine, 2013,  Gregg L. Semenza, Medicine, 2019,  Thomas C. Sudhof, Medicine, 2013,  Jack W. Szostak, Medicine, 2009,  Harold E. Varmus, Medicine, 1989,  Eric F. Wieschaus, Medicine, 1995,  Torsten N. Wiesel, Medicine, 1981

    Physics                      

    Hiroshi Amano, Physics, 2014,  Barry Clark Barish, Physics, 2017,  Steven Chu, Physics, 1997,  Andre Geim, Physics, 2010,  Sheldon Glashow, Physics, 1979,  David J. Gross, Physics, 2004,  Takaaki Kajita, Physics, 2015,  Wolfgang Ketterle, Physics, 2001,  Ferenc Krausz, Physics, 2023,  Anthony J. Leggett, Physics, 2003,    John C. Mather, Physics, 2006,  Michel Mayor, Physics, 2019,  Konstantin Novoselov, Physics, 2010,  Roger Penrose, Physics, 2020,  William D. Phillips, Physics, 1997  . David Politzer, Physics, 2004,  Donna Strickland, Physics, 2018,  Kip Stephen Thorne, Physics, 2017,  Carl E. Wieman, Physics, 2001,  Robert Woodrow Wilson, Physics, 1978,  David J. Wineland, Physics, 2012