IN SEARCH OF INTELLIGENCE unites families advancing next generation's life on earth. December 2024, Wash DC, chris.macrae@yahoo.co.uk ; linkedin UNwomens::: 2025Reporter Club
Over 60% of people depend on pacific trades. Because of Western era of Empire, Pacific people's growth expoennentials have depended on what von neumann called designing development rpind above zero-sum trading maps through 3 waves of "millions times more tech brainpower : Mooere's engineers of linkining in silicon chip valley 95-65; Satellite Data worlkdwiode 5G to 1G (2015-1990), Partners of Jensen Huang's Deep Data Computing & Learning ets Stanford Engineeriing Quadrangle 2010
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.

Tuesday, December 10, 2024

 75 years of the most inmtelogent ideas emrging from legacy of MNET : Neumannn Einstein Turing. the nmet's briefings  wer  very clear- look for abpve zero  sum system exchanges -  eg many educations ones . Note that communicatiosn and energy system crises had root caused 2 world wars so sorting those our transprnet;y would matter

those big vopmapnies that have been splt into 40 interprenur sections as onne overall innocation platfp0rm might want their ceo to be replivated as agents if he is the poverall innovator or whomever was origin of each interparenurial split (charter future hostiry process)

Neumann expected neural network algoiorithsm to be essential - he anticipated at lesst 3 waved of million times more tech: computational eg moores law; satellite data distribuition between communitioes eg 1g to 5G


extenstion of thios hing kong figital twin medical colege shared with world

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


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

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

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


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

discussion of when to go nin carvon started 1970s eg nixonn; the ,majority of natiosn dont have any crit9ical minerals to carbon age so are triply disadvantaghed by there being no green venchmar models ; can be thriving ecoinomy; is loongt term onloy renewavle generation; can prevent negaiteve balance of trade; can minimise wars- whos going to war over anotyher places sunshine


earth 2.0 models cpould have started with water- catalogue every type of water crisis ; map which applieds where; clarify which have solutionsd


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