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
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 :...
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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 12)
related AI to improve health, energy, natural renewability & productivity of all -
100+ Nation ai stratup clubs - Inception integrating 3rd wave of million times more tech (1Moores law 2 Satellite death of data distance, 3 nvidia parners of million deep accelerated computing);
AI for sdgs launched 80th birthday party Fazle Abed Dhaka April 2016
Visionary AI summits- King Charles London Nov 2023, Korea May 2024 - Paris Action 11 Feb 2025; Nvidia Hong Kong Dec 2024, India & Japan Oct/Nov 2024, Taiwan Jun 2024, Valley ST Jose Marc 2024 and 2025
Nvidia in DC October 2024 : 60 on-demand debriefs include following (4 to come jensen chat, 2 keynotes, Lockheed )
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…
, 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…
, 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.
, 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…
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.
, 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…
, 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.
, 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,…
, 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.
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…
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…
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…
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.
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
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.
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.
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…
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…
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…
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…
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…
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…
"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…
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
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