AI5.0 since 2022, best AI = scaling exponential purpose of partners in what analyses with billion times smarter mathematician than individual human brains. If you dont know what best ai is scaling, being ordered by classical economists can't save you... why not an ai mooc on every university's home page?-
previously AI meant 4 different things up to 2018; , from 2012, at 2009, at 2002

100000$ student debt universities are now total waste of education system time of students and teachers.

Agentic AI stories 1 Billion times greater maths brain & 10**18 More Tech...There isn't a skill known to universities which is not being changed by Agentic AI and human impacts:Reasoning, celebrating Data Sovereignty and how world class cities through next 10 years deploy digital twins to capitalise on opportunities of driverless cars and humanoids

IN 1983 we founded 2025Report genre around hypothesis agentic ai would arrive by 2025 and would make millennials generations best of time provided transformation in how education systems spend time of both teachers and students. Today's western 100000k 4 year student debt liability if it has prevented you from understanding engineering  and deep social action triads like those shown including those changing so intel fast today that you'd be better off parsing latest contributions of eg Huang Hassabis and Musk (aka builders of billion times more maths brain power) than other curricula

Agentic AI stories of Billion times greater maths brain. & 10**18 More Tech.
***Huang*Hassabis*Musk Billion Times Greater Maths Brain
***Neumann*Einstein*Turing

Computer&Brain*1905 Natures Deep Maths*Coding deep data
Huang*Yang*Tsai
Doudna*Su*Koller
Lecun*FFLei*Bloomberg
Macron*Mensch*Lecun
W0 SJobs*FAbed*MYunus
upd 9/25 Ai Global Health RoyalSTropical
JFKennedy*UKRoyals*JapanRoyals Sovereignty AI..

Japan Emperor*Softbank*Sony
1 Modi*Ambani*Singh
H Li*Guo*Chang
LK Yew*LK Shing*H Li
Borlaug*Deming*McLean
( China)
.
AP July 2025, Jensen Huang: 1730 It is vital that everyone engages AI right away. Every adult, every working person, not working person, every child should address and engage AI right away. And the reason for that is because AI is the greatest equalization equalizing force. It is the first time in history that a technology as incredible as artificial intelligence is useful for someone who knows how to program software, no historical experience of how to use a computer. This is the very first time in history that all of a sudden that computer is easy to use. If you don't know how to use AI, just open up the website, go to Chad GPT, go to Gemini Pro - just ask a simple question. . And you could even say, "I have no idea how to use AI. Can you teach me how to use AI?" And if you don't know how to type, hit the microphone button and speak to us.. And if you don't understand English, you can speak whatever language you like. It is an extraordinary thing. And I also think it's incredible that if the AI doesn't know that language, you tell the AI go learn that language, right? And so so I think everybody needs to to engage AI. It is the greatest equalization um uh equalization force that we have ever known and it's going to empower.. it's going to enable... it's going to lift society of all you know everywhere.upd Jy 2025'1    CISCE, Beijing

sep 24.1   oct24.1  nov24.1  dec24.1    Ja 25.1  2   mar 25.1  may 0 25.1     3  jn25.1   2   3
Family Huang 2009 whose first  100 engineering partners linking Nvidia, Silicon Valley West Coast and Taiwan East coast - gave stanford engineering AI's Deep Learning Lab core of stanford worldwide Science and Engineering Quadrangle.

30 day stack recall to May 13 : axios health, payments, press; 555 india summit, womens intel, lisa su, science diplomacy summit; ITIF critical meds. merci beaucoup Yann Lecun!!.. TOkens: see your lifetime's intelligence today
nvidia Physical A1 -Robots
.
Will Jen-Hsun's GTC26 big reveal be a superagent AI tutor k-12 whom we can all CC in email?
By 1987 Taiwan's 20 million people have inspired intelligence of all billion humans - special thanks to Godfather of Taiwan Tech: Li & ... Guo, Chang, Huang, Yang, Tsai and millennial taiwanese - see eg podcast straitforward or Taiwan Digital Diplomacy net.
I0 India generics Yusuf Hamied (Cipla) i.
If you know this- please help others. If you don't know this please ask for help2002-2020 saw pattern recognition tools such as used by medical surgeons improve 1000-fold. From 2020, all sorts of Human Intellligence (HI) tools improved 4-fold a year - that's 1000 fold in 5 years. Problem HI1 if you get too atached to 2020's tool, a kid who starts with 2025 smartest tool may soon leap ahead of you. Problem HI2: its no longer university/institution you are alumni of, but which super-engineers (playing our AI game of whose intel tools you most need to celebrate. Problem HI3- revise your view of what you want from whom you celebrate and the media that makes people famous overnight. Indeed, is it even a great idea (for some places) to spend half a billion dolars selecting each top public servant. HI challenges do not just relate to millennials generative brainpower We can map intergeneration cases since 1950s when 3 supergenii (Neumann Einstein Turing) suddenly died within years of each other (due to natural cause, cancer, suicide). Their discoveries changed everything. HIClue 1 please stop making superengineers and super energy innovators NATIONS' most hated and wanted of people
welcome to von Neumann hall of fame- based on notes from 1951 diaries-who's advancing human intel have we missed? chris.macrae@yahoo.co.uk
new stimuli to our brains in April - AI NIST publishes full diary of conflicting systems orders its received (from public servants) on ai - meanwhile good engineers left col ...March 2025: Thks Jensen Huang 17th year sharing AI quests (2 video cases left) now 6 million full stack cuda co-workers
TOkens:help see yourlifetime's


nvidia Physical A1 -Robots
More Newton Collab.&& Foxconn Digital Twin
NET :: KCharles :: Morita : : Borlaug :: Deming Moore
Abed: Yew :: Guo:: JGrant
ADoerr :: Jobs:: Dell .. Ka-shing
Lecun :: L1 L2 :: Chang :: Nilekani :: Singh
Huang . : 1 : Yang : Tsai : Bezos
21stC Bloomberg ::Daniels
Satoshi :: Hassabis : Fei-fei Li
Shum : : Ibrahim : CTandon
Ambani : Modi :: MGates : PChan : Kariko :: Francia
Oxman (&EB) ::: HFry:: Yosuke
Musk & Wenfeng :: Mensch..
March 2025:Grok 3 has kindly volunterered to assist younger half of world seek INTELLIGENCE good news of month :from Paris ai summit and gtc2025 changed the vision of AI.
At NVIDIA’s GTC 2025 (March 18-21, San Jose, nvidianews.nvidia.com), Yann LeCun dropped a gem: LLaMA 3—Meta’s open-source LLM—emerged from a small Paris FAIR (Fundamental AI Research) team, outpacing Meta’s resource-heavy LLM bets. LeCun, speaking March 19 (X @MaceNewsMacro)

IT came out of nowhere,” beating GPT-4o in benchmarks (post:0, July 23, 2024). This lean, local win thrilled the younger crowd—renewable generation vibes—since LLaMA 3’s 405B model (July 2024, huggingface.co) is free for all, from Mumbai coders to Nairobi startups.

Good News: Indian youth grabbed it—Ambani praised Zuckerberg at Mumbai (October 24, 2024, gadgets360.com) for “democratizing AI.” Modi’s “import intelligence” mantra (2024, itvoice.in) synced, with LLaMA 3 fueling Hindi LLMs (gadgets360.com). LeCun’s 30-year neural net legacy (NYU, 1987-) bridged Paris to India—deep learning’s next leap, compute-cheap and youth-led. old top page :...
2:: Agri AI
..

.

Monday, December 30, 2024

 Chapter 1 Foundations of 2025-2035 the greatest decade to be alive

when in 1983 my father, Norman Macrae, the Economist's norman macrae and i published 2025report timelining arrival of agentic intelligence for everyone, we did not anticipate how much of that advance would arrive in the last 3 years 92023-6) after a plague shut down people to people real relationships for over 2 yeras.

we also did not anticipate atlantic educators being the chief luddite in the west or other social conflicts however engineers have produced the personal tools of intelligence in exponential timelines paralleling  our prediction - see rational optimist article


Norman Macrae might have advised firing any global journalist who was not optimistic. Actually before that he would have wanted to know of tragic personal experiences  shaping that mediator's intelligence.  Dad had experienced a lot of evil at close quarters and been lucky to survive. Born 1923, He was home schooled until adolescence in British embassies such as Moscow as his dad was Britain's intel collector on the evils of Hitler and Stalin. Dad's undergrad studies at Cambridge were interrupted by spending his last days as teenage navigator allied bomber command burma campaign. Surviving that he had google maps in his head half a century before there were googlers especially of bay of Bengal  all Asian coastlines east. (Foot1)

  Geoffrey Crowther who edited The Economist for a decade either side of world war 2, worked out from editing a cenetenaty autobio of the Economist 1843-1943 that netother economists or journalists had valuation abilities matching engineers advances. So dad was hired to quiz leaders on the legacies of Neumann-Einstei-0n_turing partucularly von neumann whom dad also became biograher of. Dad attended messina birth of eU 1955- from the slip in execution between founding purpose of Jean Monet to EUcracy, dad was appoiunted by the Econopmist to sign one annual survey on futire of a nation or region starting with his prevous enemy Japan. Dad was delighted to find Japan engineers (see deming) and agriculture (see borlaug) was booming in ways that all asia could rise around. JF Kennedy and the royal familie of UK and Jaapn were the first to agree these context deep compasses of economic intelligence could connect hi-trust and hi-tech



. By 1965 first intelligence demonstations of chips ,computers , satellites were evident. What if each advanced-multiplied million fold over the next 2 generations starting with chips (moores law 65-95 with Intel santa clara engineer epicenter and Japan south asia supply chaias main microelectronics supply chain. 

IN MORE GEONOMIC DETIAL

Tale of 20th two half centuries- how Neumann Einstein Turing hoped they had transitioned the half century of world wars to Above Zero Sum Games of 10**6 More Tech by end of cemntury and by 10**18 more tech in time for millennials to generate hapiest and safest livelihoods all over earth

Diaries of 75 year journey from Computer & Brain legacy of Neumann Einstein Turing last 5 years to Huang Hassabis Lecun and more!

Geonomics mapping is complicated - we suggest looking from 1965 moore's law million fold tech multiplier to 1995 at 3 subregions - did they win-win at different time; did other part sof world linkin 

1 us west coast especially what is sometimes known as silicon valley but is actually the valley below clares town, the bay between calres town and francis town including stanford, the coast up to berkeley the origion of all californai state engineering universities and in modern times the west coast anchor og usa govern,ents suoercomputers and energy mapping

2 aisa east coast jan-korea-taiwan-hk-singapre

3 asias contimnetal coast - china and ...

the deveopment of supercities (20 million plus capitals over 5000 square miles with peoples livelihoods dependednt on each other is an asian specvialty that started with tokyo and seoul b ut as containerisation designed fats moving tech supply chians up and down aisan coastal betls special enterprise zones wothin a city mattered; these aimed to attract tech foreign investiors 

Based on the information available:

  • Taiwan and Free Trade Zones in the 1960s: Taiwan did establish Export Processing Zones (EPZs) in the late 1960s to promote exports and attract foreign investment. However, it's difficult to definitively state whether Taiwan was the absolute first in Asia to utilize designated city regions as free trade zones (aside from Hong Kong and Singapore) during this specific period without more detailed comparative information on other Asian economies' approaches during the same timeframe.
  • Shenzhen and the Free Trade Zone Economy (Late 1970s onwards): Shenzhen, designated as a Special Economic Zone (SEZ) in 1980, experienced dramatic economic growth attributed to this model. Its GDP and industrial output saw exponential increases and its population skyrocketed. Shenzhen's success was largely driven by its proximity to Hong Kong and its ability to attract foreign investment with lower labor costs and preferential policies. While it became a highly successful example of a free trade zone economy, it wasn't the only Chinese SEZ and its initial economic base wasn't the largest among the zones established at that time. However, its growth and transformation were remarkable, making the free trade zone economy a significant driver of its success. 

Chapter 2 -7 Six leading Dimensions of the 21st C AI Games -and Engineering's Alphabet Ai Bio Ai ...

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

C1

2025-35 is most exciting decade to be alive - can  engineering intelligence save the human species from Orweellian Big Brotherdom?

Generations following Neumann Einstein Turing mulltiplied at least 10**18 more tech than 1965 with 3 million fold multipliers:

microelectronics scaling at moores doubling every 2 yeras 1965-1995

connected since eraly 1990s by scaling data clouds<>communities satellite of (1964 saw first global application of staellite communications - Tokyo Olympic0

designing deep data supercompute partnerships(1963 was launch of ibm 360 and birth of Jensen Huang)

Pacific and Atlantic scaling of these technologies offer notably different stories of human development,.

The two deepest ways for peoples to scale intelligence with engineering - health and education have not scaled yet in Atlantic people's understanding the way they have in some of pacific traders especially those connecting Taiwan and Silicon Valley 

meanwhile ai leaps in biotech look set to influence half of all gdp in next decade with a lot of local opportiunities; as eraly as 1905 Einstein puvlished maths of biotech transformation e=mscsquared but with the exception of nujclear races and some mapping of dns there was 100 year gap until bioengineering coding became the first of two extraordinary AI Games thanks initially to Steve Jobs and Jensen Huang deciding to code pixels intsead of just 0,1 s from 2002. Over the next 7 years primarily 3 Taiwan American families linked to Stanford sought other coding ideas- that of coding all 5 human senses emerged by 2009 with such youthful commitment that both Huang and Stanfird launched this alongside pixel coding at Stanfird deep Learning Lab 2009.

However AI's other main sproingoaord since 2012 : 5 human senses ai machine learning has got danerously stuck in chats - can this be tirnmed into personal agentic ai in time? Or which other routes including autonomous humanoids around the engineers ai alphabet may safely serbve and  boost every persons intelligence and best life at all corenrs of mother earth?

We hope to obtain a puclishing contract for our last futures report soon - co-editors.publisher inquiries welcome chris.macrae@yahoo.co.uk Bethedsa Washington DC Region


75 years after vomnm neumann and freinds started briefing economist journalists on expoenetial ops & threats of their legacy during their last 5 yeras on earth, join us in playing AI Ganmnnes. Which 6 dimensuosn should teen stdients and teachers celebrate ai trust movemenst around. How else to open up every intelligence route milennials need to be first renewable generation


Hood ai by context is happening somewhere but whpo do we map cooperation open learning action models faster than those whose power depends on ruling intelligence 


Foot 1 Dad married daughter of Sir Kenneth Kemps- as diaspora scots 3 generations had built Bombaay's first pharmacy before Sir Ken became Barister who as chief justice ofg bombay medited gandhi for 25 years before writing up leagalese of India's Indpependence. The scoop was Sir Ken had no idea that at the last moment indian subcontinent would be partitioned into India and 2 Pakistans. The Bengalese who had supported allied bomber command were not cut oiff from superport of calcuttan and for nearly quarter centure ruled as solony of (west) pakistan

Tuesday, December 10, 2024

 75 years of the most intelligent ideas emerging from legacy of NET : Neumannn Einstein Turing. the NET's briefings  wer  very clear- look for abpve zero  sum system exchanges -  eg many educational transformations . Note how communicatiosn and energy system crises had root caused 2 world wars so sorting those our transparently out of every community matters

those big vompapnies that have been splt into 40 interprenur sections as one overall innocation platf0rm might want their ceo to be replivated as agents if he is the overall innovator or whomever was origin of each inrarpareneurial split (charter future histiry process of world class brand leading partnerships/architecture)

Neumann expected neural network algoiorithsm to be essential - he anticipated at lesst 3 multiplyong waves of million times more tech: computational eg moores law; satellite data distribuition between communitioes eg 1g to 5G - by 2025 quintillion times motre tech would change every meaning and brain of being human!


recent extenstions of this:

 hong kong digital twin medical colege shared with world

million times more addrressing deep data chalenges of einsteins 1905 papers as well as conflict transformationn

1 every child an teacher and parent has theor own learning agent or tutor  first widely discussed 1973 eg uk cal project- latest example ; scaling speed see eg itf difital twin  summit 2024

2 nb local communities missing hearth carte servants donmt need huge llms updating 24/7 except in emergencies. We could imagine nursing and medical services involving 30 quite simple apps as well as 10 much more detailed telehealth and surgical tools

3 redesigning some value chains to be owned by next generation not elders - eg sports,., fashions, pop, arts since 2000 if not earlier

model for dealing with huge expert market that needs to be deleted - the us faced this with tobacco 1960s and failed ; at same time note difference between western markets that have become hostages to drig crises and those orienmtal countries that made drug running a capital offence

discussion of when to go beyond carvon started 1970s eg nixon; the ,majority of nations dont have any critiical minerals to carbon age so are triply disadvantaged by  2020s  not opebnly benchmarking any green  models ; can be thriving ecoinomy; is long term only renewavle generation; can prevent negative balance of trade; can minimise wars- whos going to war over another places sunshine as local energy dustributor

earth 2.0 models could have started with water- catalogue every type of water crisis ; map which applied where; clarify which have solutions affordable by all


Sunday, December 8, 2024

2024 DC AI Highlights

ED, 75th uannual update of von neumann  vision of engineering fior brainworkers & intelligence diversity world-deep (jargon note in queens english language mapping & king charles AI world series::  engineer & artificial are synonyms since adam smit moral sentiments 1758 - journals 1  2


related AI to improve health, energy, natural renewability  & productivity of all -  

Nvidia in DC October 2024 : 60 on-demand debriefs include following (4 to come jensen chat, 2 keynotes, Lockheed )

October 2024
The convergence of AI and digital biology data is reshaping the global healthcare and biotech landscape. Join the discussion to understand the critical factors driving innovation, the role of public and private investment, and the challenges and opportunities in maintaining US leadership in AI innovation for healthcare and biology. Join us for a
October 2024
, Chief Data Scientist, Enterprise Intelligence and Data Solutions Program Executive Office, Defense Healthcare Management System (EIDS, PEO DHMS)
, Assistant Secretary for Technology Policy, National Coordinator for Health Information Technology, and Acting Chief Artificial Intelligence Officer, U.S. Department of Health and Human Services
, Senior Director, Global Head of Business Development, Life Sciences, NVIDIA
, Deputy Director of the Office of Data Science Strategy, National Institutes of Health (NIH)
, CTO, Advanced Research Projects Agency for Health (ARPA-H)
Federal health agencies are using AI to enhance public health outcomes, streamline operations, and advance medical research. This panel discussion will feature prominent representatives from major NIH institutes who will share their insights on the state of AI in federal health. Panelists will discuss how AI is being used to tackle 
October 2024
, Director of Michigan Institute for Computational Discovery and Engineering (MICDE), University of Michigan
, Director, Office of Critical and Emerging Technologies, Department of Energy
, Secretary, U.S. Department of Energy
, Senior Manager for Government Affairs, NVIDIA
, Director of the Energy Program, Bipartisan Policy Center
Artificial intelligence (AI) is transforming scientific discovery, economic growth, and national security, and with increased investment and strategic planning, the U.S. government can lead the way in developing safe and trustworthy AI for critical areas, enhancing our ability to address pressing national and global challenges.
October 2024
, Director, Energy & Climate, Rhodium Group
, Commissioner, Federal Energy Regulatory Commission
The Federal Energy Regulatory Commission (FERC) is an independent agency that regulates the interstate transmission of electricity, natural gas, and oil. In this fireside chat, FERC Commissioner David Rosner will share his perspective on the current state of the grid and how the Commission might play a role in issues relevant to the 
October 2024
, Principal Research Scientist, NVIDIA
, Senior Manager, Applied Research, NVIDIA
, Senior Director, AI and Legal Ethics, NVIDIA
, Product Manager, Trustworthy AI, NVIDIA
The deployment and adoption of AI solutions must be underpinned by user and societal trust. Safe and responsible AI is key to building that trust. This panel will outline NVIDIA’s commitment to Trustworthy AI and showcase some of the innovative tools NVIDIA offers to enable AI safety, security and trust.
October 2024
, CEO, The Weather Company
, Program Manager Earth System Science Domain, NVIDIA
During March 2024, NVIDIA launched the Earth-2 digital twin program that provides enabling technologies for improved prediction in the modeling of Earth’s weather and climate based on advances in HPC and AI. These developments include GPU acceleration for numerical-based prediction models, AI/ML software and system 
October 2024
, SVP & CTO, MITRE
, VP, Developer Programs and Corporate Marketing, NVIDIA
MITRE’s Federal AI Sandbox is a transformative initiative designed to accelerate AI discovery and innovation for the US federal government in domains like cybersecurity, climate, and healthcare. Gain valuable updates on the project’s progress, engagements, and plans for expanding access to this critical resource.
October 2024
, Director, U.S. Army Artificial Intelligence Integration Center (AI2C)
, CTO, U.S. Central Command
, Senior Computer Scientist, Air Force Research Laboratory (AFRL)
This session explores some of the Department of Defense’s most exciting science and research initiatives in Generative AI for national security. These initiatives by the Air Force Research Lab and the Army AI Integration Center (AI2C) are contributing to key learning about the potential for Generative AI and are influencing policy, 
October 2024
, Chief AI Officer, Cybersecurity and Infrastructure Security Agency
, Former Director for Cybersecurity, NSA and Founder, Joyce Cyber LLC
, Director, Zero Trust Portfolio Management Office, U.S. Department of Defense
, Director of Engineering, NVIDIA
, Founder & CEO, NightDragon
Executives will gain insights into harnessing AI's potential to enhance cybersecurity postures while navigating the associated risks and ethical considerations. Participants will leave equipped with actionable strategies to integrate AI into their organizations' cybersecurity frameworks effectively and responsibly.
October 2024
, Principal Solution Architect, NVIDIA
, President, The Cardillo Group, LLC
, Director of Imagery and Remote Sensing, Esri
, Senior Director of Research, Clarifai
The volume of multi-spectral geospatial data processed daily is massive, and it is growing exponentially thanks to a growing fleet of Earth Observation satellites and other data capture devices powered by increasingly capable sensors. The task of scouring through this data to derive meaning is tedious and time consuming for humans, but
Putting a Face to Your AI: Transforming Your Mission With Digital Humans (Presented by Government Acquisitions, Inc.)
October 2024
Come meet the new face of AI with GAI! Reduce time to answers for citizens and employees alike through Digital Humans and Conversational AI. Empathetically support veterans asking questions on their health and benefits to junior contract officers navigating the contract process more quickly. Augment your website and contact center 
Strengthened AI Infrastructure for the New Era: From Systems to Liquid-Cooled Clusters (Presented by Supermicro)
October 2024
The rise of AI has led to businesses expanding the data center infrastructure that supports it. In this new frontier, traditional IT hardware principles must be re-evaluated as AI computing presents unique challenges that lead to increasing complexity and power consumption while scaling deployment size. On the system-level, Supermicro 
Stop Planning, Start Solving: NVIDIA Frameworks for Real Problems (Presented by Sterling)
October 2024
, Chief Technology Officer, Sterling
First, we showed you how to build an AI-ready datacenter. Next, we guided you through implementing an AI edge-to-rest workflow. Now, we’ll delve into NVIDIA SDKs, where you can bring it all to life.
Unlocking Real-Time AI Insights at Hyperscale (Presented by VAST Data Federal)
October 2024
Learn how VAST Data and NVIDIA are bringing real-time, AI-driven insights to petabytes of structured and unstructured data. Explore how organizations can ingest, vectorize, and infer upon massive data volumes at hyperscale speeds while
Utilization of Omniverse and ISAAC for Autonomous Swarming Within an Area of Responsibility (Presented by World Wide Technology)
October 2024
Learn how combining NVIDIA Omniverse, ISAAC, LSTM, and concepts like ACO and PSO can significantly enhance operations, command and control, ISR (Intelligence, Surveillance, and Reconnaissance), and information, aiming for autonomous dominance in the great power competition.
How HP Is Tackling AI Development (Presented by HP Inc.)
October 2024
HP is driving innovation in AI development by creating cutting-edge solutions for deployment at the edge. In this session, we will showcase new software tools that enable developers to more effectively set up, collaborate on, and deploy Data Science and AI projects, as well as harness the power of idle edge GPU compute resources.
Redefine What is Possible for Government and Other Industries With Cisco and AI (Presented by Cisco)
October 2024
Join industry experts for a discussion on how the Cisco portfolio comes together with AI to address challenges in citizen experience, public safety, roadway infrastructure, traffic management, security resilience, loss and fraud detection, and safety and surveillance to deliver meaningful outcomes today. You’ll learn how Cisco’s solutions 
Securing the AI Frontier: Strategies for Safeguarding Innovation (Presented by Trend Micro Inc.)
October 2024
As AI revolutionizes business processes, it brings with it both exciting opportunities and significant risks. In this talk, we will explore how to navigate these challenges and create a secure, resilient framework for your AI initiatives. Tailored for those embarking on their AI journey, this talk will delve into critical security threats associated with 
Supercharging Public Sector and Sovereign AI with DDN and NVIDIA (Presented by DDN)
October 2024
The AI Revolution: Securing National Innovation and Sovereignty The AI revolution is upon us, and for federal agencies and sovereign entities, the stakes are higher than ever. As global competition accelerates, ensuring the security, scalability, and sovereignty of AI initiatives is mission-critical. In this session, learn how choosing the right
October 2024
Enterprises in 2024 are making generative AI a cornerstone of their business strategies, whether it's to accelerate innovation, enhance operational efficiency, or unlock new revenue streams. This transformative shift brings with it the challenge of operationalizing AI development and deployment at scale. In this session, we’ll explore ensuring 
Building a Specialized Interactive Foundation Model for 3D CT Segmentation
October 2024
This talk presents a collective body of work that has arisen out of the NIH research collaboration with NVIDIA beginning in 2019, starting with various organ-specific segmentation models and recently producing the NVIDIA VISTA-3D NIM foundation model for 3D CT segmentation. VISTA-3D is trained systematically on 11,454 volumes 

Accelerated Long-Range Radar Processing Pipelines
October 2024
Raytheon (an RTX business) has mature, operational, HF Over-the-Horizon Radar (OTHR) sensor systems that provide the US Navy surveillance capability over vast theater areas. Recently, Raytheon has been using investment from the U.S. government and industrial partners, as well as internal investment, to develop next-generation HF 

Creating the Factory of the Future With Sensor Fusion, AI Agents, and Digital Twins
October 2024
"We're witnessing the evolution of factory automation with generative AI, visual language models (VLMs), sensor fusion, and digital twins. Learn how these technologies are transforming factory operations with automated visual inspection, sensor fusion for worker safety, and AI agents for operations managers to interact with their factory 

NSF review by Darío Gil, Ph.D Watch the entire recording of the National Science Board Chairman National Science Board 490th Meeting September 2024 www.youtube.com/watch?v=DVtbQLYJBY0

Extract final pages :

approach  AI. It’s a technology that’s going to affect all felds and intersect with every part of the economy, including science and how it's done. It is incomplete to say that the federal government’s actions alone constitute an “AI strategy.” Here’s the reality: For AI, the only part of the ecosystem that’s healthy, with the infrastructure and talent required to push limits, is the business sector. Even the country’s very best universities have a structural problem: They can neither reproduce the state-of-the-art results that industry creates nor truly push the frontiers. They simply do not have the necessary compute power, among other tools. The same is true of government scientists. Those of us in industry worry that hiring the best talent out of academia will leave no one left to teach the next generation. If we were talking about the role of fnancial institutions, we’d say that we have a market failure. This moment calls for creativity. We have the potential for investments from a variety of sources: an AI Act, the National Artifcial Intelligence Research Resource, state action, and a great deal of activity in business. But we don’t know how to connect these pieces and coordinate them to achieve common goals and ensure that we are safeguarding the public interest. Unless we have an equivalent of what’s being done with semiconductors, with stacked investments and clearly defned strategies, we are going to have a serious problem with adverse impacts on our economic competitiveness, our national security, and perhaps even the very fabric of our society. And while federal government leadership is indispensable, it cannot single-handedly solve this problem. Next, we must inspire our fellow Americans with the promise of S&T and translate that inspiration into participation by attracting and retaining domestic talent from every demographic and every corner of the country and connecting them via vibrant STEM education and fulflling careers. As previous NSB Chair Dan Reed testifed when he went before Congress this past spring, “It’s time – in fact, well past time – for a National Defense Education Act 2.0 that would inspire and enable a new generation to participate in S&T.” The return on that investment would be huge for both the country and for individuals. And it is both ethical and prudent to ensure we are not leaving large segments of our population or regions of the country behind. This moment calls for creativity. We have the potential for investments from a variety of sources. Connected Horizons: New opportunities in a changed landscape by NSB Chair Darío Gil 14 A Call to Action The future success of our R&D ecosystem will also depend on our ability to quickly coordinate and align our S&T activities across sectors and keep pace with the speed of scientifc and technological advances. We need to design and execute a cross-sectoral national S&T strategy. Our decentralized system facilitates creativity and resilience but also has ineffciencies. The radical changes in the R&D landscape call for a new approach to federal stewardship of our S&T ecosystem that maintains the benefts of our distributed system while still positioning our nation for success. This may require not just improving existing institutions but building new ones. Furthermore, we need to develop the tools within each federal agency that will enable this cross-sectoral R&D collaboration. An example is NSF’s directorate for Technology, Innovation, and Partnerships, or TIP. This is the Foundation’s frst new directorate in 30 years. It aims to drive regional innovation, bring new participants to the table, and sustain connections across sectors. This is the kind of new model that agencies need to be able to create, leveraging federal investments to complement activities and research in the private sector. This is part of the “and Science” that we need to follow through on because we’re going to need the resources and commitment to scale and land it. This is a call to action. There are many open questions we need to explore: Will evolving our existing institutions be enough, or should we create new structures and institutions to better enable cross-sectoral collaboration and activities? How should we approach international engagements? What is the G7 or G20 of technology? Do we need a NATO for S&T? Should we lean into continued but selective collaboration with China on basic and open science to stay true to our values about open scientifc inquiry and to avoid technological surprise? How can we mobilize all of the U.S.’s assets to address the nation’s persistent challenges in STEM education? How can we use the 75th anniversary of NSF as an opportunity to The radical changes in the R&D landscape call for a new approach to federal stewardship of our S&T ecosystem. Connected Horizons: New opportunities in a changed landscape by NSB Chair Darío Gil 15 engage with our stakeholders to think together about how to evolve the agency to be even more successful in its next 75 years? There’s no less opportunity now than there was at the beginning of this journey 75 years ago. Within the NSB we have begun thinking about how we can educate and build together across sectors. Those of us in the science and technology community are starting to learn and fgure out the ingredients for success in an era of Connected Horizons. For example, National Academy of Sciences President Marcia McNutt calls attention to the changed landscape in her editorial Keeping America “Science Strong.” We must invent the right models and the right institutions. We must try new experiments and build and scale for success. The changed landscape is not a bad picture. It’s a different picture, a new picture. It is a landscape full of promise if we can fgure out how to capitalize on its advantages and strengths. It is not a moment to wish to turn back the clock. It is a moment to keep our eyes on the future. Even as we celebrate NSF’s 75th anniversary, let’s lay the groundwork for the next 75. This effort will take all of us, fnding new ways to educate and build together. Watch the entire recording of the National Science Board 490th Meeting w.youtube.com/watch?v=DVtbQLYJBY0 Let’s work together, connecting across not a single frontier but many horizons, to deliver on the promise of science and technology for our nation and for humanit

related https://new.nsf.gov/focus-areas/artificial-intelligence