or Hong Kong 2 days ago
EconomistDiary.com : AI Games: Architect Intelligence
That's our open syatem foundations observation. scaling over 75 years since John Von Neumann asked Economist journalists to mediate futures of brainworking through 3 million fold hi-tech waves :Moore's Silicon Valley,*Satellites 1G to 5G Death of Distance mobilising data round earth* Jensens platforms for DEEP LEARNING Data Science aligned to Einstein's 1905 nano-science-Earth revolution. NB Miraculous Transformations In tha last 5 quarters of human endeavor, may we commend projects emerging from 6 summits linkedin by Taiwanese-Americans gravitated by Jensen Huang (Nvidia) and 4 summits living up to King Charles wishes for humanity : Nov 2023 London Turing latest Deep Minds,, May 2024 Korea, Summer 2024 semi-private Japan State Visit to London (Charles 60th Anglo-Japan reunion as 1964 delegate to Tokyo Olympics), December 2024 India's Wadwani AI in DC (with next round of King Charles Series - Macron Paris Feb 2025) | .. | Jensen's health AI meta-collab: Hong Kong Digital Twin 2020s supercity health centres :Tokyo Update Maso Son & Japan Royal LLM everywhere; India's sata socereignty od world largest population with Ambani & Modi; NVidia in DC with eg LOgkhttf Martin ; Taiwan RWins galore eg Fioxconnn extension to foundry for autonomous as well as mobile world; San Jose March 2-24 tenth annual upfate of most joyful parternship tech world has ever generated | Over the past year, key international organizations, like the G7, OECD, and Global Partnership on Artificial Intelligence (GPAI), have shaped the global AI governance conversation and focused on foundational principles, critical risks, and responsible AI development. Looking ahead to 2025, how are G7 countries and corporations planning to implement AI governance frameworks and address challenges, such as the growing energy demand for AI technologies? Join the Wadhwani AI Center for the International AI Policy: Outlook for 2025 conference. This full-day event will be held at CSIS headquarters on December 9, 2024, from 9:00 AM to 6:00 PM ET and will convene leading policymakers, industry experts, and thought leaders to explore the latest international efforts in AI governance. Featuring keynote speeches from distinguished figures, including Ambassador Shigeo Yamada of Japan to the United States, Ambassador Laurent Bili of France to the United States, and Sara Cohen, Deputy Head of Mission at the Embassy of Canada, this conference will highlight key international perspectives in AI governance. |
Monday, November 25, 2024
around joy of intelligence world in 80 days -thank you jensen
or Hong Kong 2 days ago
Thursday, November 14, 2024
From Nvidia's newsroom - japan partners to take tech hi-road w3hile India takes the masses road
NVIDIA AI Summit Japan—NVIDIA today announced that Japan cloud leaders SoftBank Corp., GMO Internet Group, Highreso, KDDI, Rutilea and SAKURA internet are building AI infrastructure with NVIDIA accelerated computing, networking and software to accelerate transformation across the nation’s robotics, automotive, healthcare and telecom industries.
The services from Japan’s cloud providers are supported through a Japan Ministry of Economy, Trade and Industry (METI) program to supply critical compute resources across industries. The cloud providers are operating their AI data centers across the country’s central, northern and western regions to support development with national and regional NVIDIA accelerated computing infrastructure.
“Japan’s companies stand to benefit tremendously from the new industrial revolution powered by AI,” said Jensen Huang, founder and CEO of NVIDIA. “Company employees will supercharge their speed and productivity by automating work with AI agents. Industrial companies of tomorrow will operate dual factories — new AI factories to produce software intelligence for the products and machines their factories make today. Working with NVIDIA, Japan’s cloud providers are building the AI factories essential to reinvent the country’s automotive, robotics, telecommunications and healthcare industries for the age of AI.”
Japan Cloud Services Across Nation Support Industries With NVIDIA AI
SoftBank Corp. has adopted the NVIDIA Blackwell platforms to build Japan’s most powerful AI supercomputers, including the world’s first NVIDIA DGX SuperPOD™ with NVIDIA DGX B200 systems.
SoftBank Corp. is using its NVIDIA AI infrastructure to accelerate a broad range of industries, including its subsidiary SB Intuitions, which is using NVIDIA AI for the research and development of high-performance Japanese-native large language models (LLMs).
GMO Internet Group is launching its GMO GPU Cloud, which will be the first local cloud offering in Japan featuring full-stack NVIDIA H200 Tensor Core GPUs, the NVIDIA Spectrum-X™ Ethernet platform for AI, NVIDIA BlueField™-3 DPUs and the NVIDIA AI Enterprise software suite. Built on Dell PowerEdge servers, the service is expected to come online this month to provide cloud-based AI computing for businesses in Japan.
GMO GPU Cloud customers will be able to use NVIDIA AI Enterprise software to accelerate their generative AI applications running in production on the platform.
Highreso is accelerating AI development in Japan with the establishment of Highreso Kagawa, a dedicated AI data center powered by NVIDIA accelerated computing. Built with NVIDIA H200 Tensor Core GPUs, the Kagawa data center is expected to begin operations next month and will provide high-performance infrastructure for Highreso’s GPUSOROBAN AI Supercomputer Cloud service.
A second Highreso AI data center is scheduled to come online next summer. Together, they will provide researchers and businesses across Japan with access to 1,600 NVIDIA GPUs, helping foster AI development in manufacturing, research and educational institutes.
KDDI is launching AI computing infrastructure built with NVIDIA HGX™ systems to support generative AI and specialized LLM development in collaboration with its ELYZA business group. With NVIDIA software, KDDI customers can use the infrastructure to accelerate AI model training and inference, build digital twins and run simulation workloads for autonomous vehicles, robotic motion control and sensor data processing.
KDDI is also planning a liquid-cooled data center that is expected to feature the NVIDIA GB200 NVL72 platform with NVIDIA GB200 Grace Blackwell Superchips.
Rutilea, an NVIDIA Inception member based in Kyoto, is doubling the NVIDIA Hopper™ computing available in its AI cloud data center. The startup is providing more than 1,000 NVIDIA Hopper GPUs, which will be used for LLM development by customers building foundation models for animation, retail and food services, vision-based editing and data extraction.
Additionally, Rutilea subsidiary AI Fukushima began operations of a new data center in Okuma, Fukushima, in September to support continued industry recovery following the 2011 Tohoku earthquake. AI Fukushima, which operates the infrastructure implemented by Rutilea, aims to contribute to the revitalization of the regional economy and local development by providing cutting-edge AI computing platforms.
SAKURA internet plans to expand its Koukaryoku cloud services for generative AI from 2,000 to nearly 4,000 NVIDIA Hopper GPUs. It also plans to install NVIDIA HGX B200 infrastructure with Blackwell GPUs at its Ishikari data center, which is expected to be fully powered by renewable energy by 2027. SAKURA internet intends to provide approximately 10,800 GPUs as part of its high-performance AI computing offering.
SAKURA internet customers include the National Institute of Informatics (NII), a public-sector research organization. NII has established the Research and Development Center for Large Language Models and is promoting collaboration among industry, government and academia in Japan through open generative AI research and development activities, including the development of Japanese-centric medical LLMs. Japan-based driving software startup TIER IV is also using NVIDIA-accelerated SAKURA internet computing in its vision to develop intelligent vehicles with its open-source software.
Tuesday, October 29, 2024
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Wednesday, October 23, 2024
Tuesday, October 22, 2024
header until dec 2024 -is this the end of AI for sdgs
2024 Learning & Livelihoods best year ever Intelligence 8 Happiest Summits: 8/8 King Charles series Paris Feb 2025; 7/8 Tokyo JensesS Nov 2024; 6/8 Mumbai JensenS Oct 2024; 5/8 DC Jensen S Octpber; 4/8 Taiwan Jensen S June; 3/8 Korea KingCharlesS May; 2/8 Santa Clara JensenS Mar; 1/8 Blethcley King Charles Series Nov 2023 (Exec Order Oct). |
breaking OCt2025:India to be lead Intelligence Economy | Giant Leaps with Nvidia Q4, 2024: Summits: DC, Japan, India Progress since 2021 (8) ai electricty grids AI & Drug Discovery- COVID. | #@X. | . | USA East Intel calendar July Axios Sustainability; : Aug 29 Hopkins AI Health Sept 24 Nist:USgov ..$$Sept 26 Hopkins::MediaEco. ;RAC, St James, London 2008 :X:www.yunuscentre.org There are 2 kinds of Economist. Those who in their youth saw poverty or nations where wars halted people's freedom to work, learn, do, commune and those who graduated in economics with none of these experiences. https://www.journalofsocialbusiness.com/editorial-board.html https://www.youtube.com/@microeconomist/videos www.normanmacrae.net www.economistdiary.com Intelligence Year 75 of Digital Twin Survey with Von Neumann www.2025report.com www.unsummitfuture.com 90 day plan 1 -can Wash DC be turned into a pro-youth capital : 9 Aug, 555 Penn Avenue - what every DC journalist should know about AIPlan 2 can worldwide youth and teachers support king charles english llm | Year15 YUNUS FAN CLUB -45K ABEDmooc.com IN SEARCH OF INTELLIGENCE, LOVE & ALL THAT MATTERS MOST TO GENERATING FAMILIES JOYFUL COMMUNITY & MOTHER NATURE lINKS 1 2 Thanks to Jen-Hsun best decade AI collection- 8000 cases improving peoples communal computation, data & brains - 2025rEPORT.COM year 75 of Neumann & Economist briefings- : 4 JULY 2024 last 80 days of UNsummitfuture.com ECONOMISTDIARY.COM chris.macrae@yahoo.co.uk |
Monday, October 21, 2024
- engineers started desioging engine type 3 for intelligence- previously from 1865 they had designed connetivity engines: eg telecoms directly connected us; grids like electricity explained where citizens poyematially became most collaborative =productive across generatiomns as long as wars and [pagues were avoided; previously Scots in 1750s had satrted type 1 engines around prysiuxcal power & automation
- Da'ds studies in Keyne's class at Canbridge were ionterrupted for 2 yeras as he served as navigatir allied bomber command stationed to fly over modernday Myanmar & Bangladesh. Fortunately dad survived; returned to be in Keynes last class; was hired by The Economist editor Geofrrey Crowther. Geofrrey had just poblised the centenary autobiography of The Economist. He concluded that The Economist's job to help UK royal families changhe constitution fto slavemaking empire to commonwealth was not practoicval as evidenced by 2 world wars unless journalists questioned leaders afatser thahn engineer chnages sytsems. Hence dad Noram was sent to Princetion to finfd pout from The Ney about their revolutionary new computing machines
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Dad became Vo Neumann's biogra[her. Two particular chalenges Neumann stressed - value way abpove zero sum exhcngaes- expect 3 waves of million toimes more tech:
computaiuonal eg evidenced by motres law 1865-1995
satellite transmission data between ever gps and in space -essentialy 1G to 5G circa 1989 to 2015
chnage of computer design to bring million tike more analysis to deep data -essentially what partners of Jensen Huang have accelerated . Fortunatley since 2015 about 8000 partners conversations have been logged up here and year of 2024 has seen 5 nvidia summits:
Japan November;
Summet Taiwan
Spring Santa Clara.
We can start to see that nvidioa parynerships foit the chapter outlines
We like to play AI Games around unique patters brilainat ai connectorts make wiuth other AI wizards. It surprises some to hear that Jensen is the longest runnmiong tech XEO in the Valley since 1993; Nvidia was foudned to design a computer capable of stuff the old cpu could nt do (efficuently); games were a first compass; but deep data analyses eg weather data colected by Nasa or patern analysis needs of eg radiographers were fields Jensen believed need deep co,mputiung ;it was probably 2009 that he met both Hassabis and zfei-fei Li ; and what they told him inspired his bet thje comapny acceleration of optimal computer design for deep learmimg; Hassabis soulgt to train computers on pattern ghames like go convinced these would put hios company in line for winning the protein mapping cpompetition whichn deep mind did; fei-fei li expaliend she aimed to host teh bigesdt ever data competition- imagenet was designed as li believed we needed machines to communicate in teh 5 humanm senses before they copuld also be safe autonomous rob its; the breathrough winner in 2012 alexnet. This was the ,moment ai sudeenlyu became the bigghest vc investment space. ...
it feels as if Jensen has joyfully created platforms in most routes to beter futures foir humanity: in addition to miantainimng friendshsipw ith Li and Hasabis, he has twinned stanford and taiwan with opther taiwanese american wizards most notably Maurice Chjang, Jerry Yang family, Jospeh Tsai Family ..
he has encouraged coders toi connect openly to the ncuda operating system (as early as 2010 a worldwide list of long term university partners) from 2016 poartnering with pixar for visuial optimisation of gpus; connecting with eg both adobe and getty imags so artists can maximise vale; he's connected withg partners like dell and hp and over in taiwan lenovo so taht end to end data analysis is integrated and served;
he's helped make sure that taiwan chipa manufactures digital twin their factories so they can likely stay aged in chip poduction and taiwan can be an overall world leader in tech
he's found ways to aprtner us 5 big digitals in ways taht seem to give eaxch its own u8inque route and overall may return web3 to far deeper erspect of society than some of what web 2 social media got up to
he parners bsuienss to busiens soft platforms and adviusers eg salkesforce snoiwflake servicenow databricks ... acenture ...
he was eraly into self-driviung car platforms seeing this as first step to mobile autnomous machienbs
his design space for robots and both way translation n2d to 3d omniverse is one of a kind
various enterpriese sectiors have their own NIMs etxnedniung the operatinmg language to poarticula models sectors may need
summit sampler
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Fireside Chat With Jensen Huang
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nvidia's 18000 clud of ai startups spanbs over 100 countries and includes vc's championingh most countries
he has often spotted algorith wizards before their breakthrough or interviewed thenm the first nvidia summit after their brteakthrough
the proof is in the pudding with about 60 recodered jensen presentaionat his own summits befoire search ing yuoutuibe for which annual gatherings has he spoken to
overall nvidia may be seen as an example of 20 thriving imntrapreneurial spaces but many capable of seeing where they need toi crissover funbctions and skills
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when it comes to seeing ai as an inspiration perhaps france is the only riuval to what seems to have been consequence of 2009 meetiungs in stanford oif jensen hassabis li facilitated by mooc co-founders ng and keller as well as the celebration of surrounding technolo9gies and neuroscoience planted by yang and stai families
PUBLIC INTEREST AI
Decisions made by artificial intelligence (AI) systems have direct and growing influence on our societies, their organization and the environment. Therefore, AI should be considered to be a policy component geared towards economic, social and environmental progress. Today, a number of risks have been identified, including the rapidly growing digital divide and excessive concentration of the AI market. To curb them, it is important to ensure equal access to AI so that everyone across the globe – including large companies and start-ups, researchers and students – can benefit from it and develop new ideas to realize its full potential while helping to identify its limits.
Ahead of the AI Action Summit, work needs to be done to build a common and open infrastructure to implement this vision in concrete terms at all points in the AI value chain, from access to data and computing capacity to the development of low-energy models adapted to specific needs.
A fully inclusive approach should be used, involving as many AI ecosystem stakeholders as possible from all backgrounds. Civil society – including researchers, experts, and NGOs specialized in IT – will be closely involved in the entire process from now until the Summit. Moreover, this work will be conducted in direct cooperation with AI actors who seek to develop similar and/or complementary initiatives, including within the United Nations.
The building of this open infrastructure will be based on the following objectives:
- Promoting the accessibility of AI systems;
- Encouraging the development of more cost-effective models to serve the common interest;
- Fostering access to structured datasets that respect individual freedoms to drive tangible AI breakthroughs in the areas of health and the environment;
- Developing a greater distribution of access to computing power;
- Training future talents at global level;
- Increasing resources for auditing and evaluating models;
This initiative would be based on a multi-stakeholder governance and could have its own investment capacity.
Updated : 2 October 2024