Can BJF help NDN -National Data Puzzles from gov in East to Entreprenurs West:

America has some of the most uneven access to infrastructure (with impact on whether family/homes are safe/affordable and education joyful)  of developed nations- and what is pretty awful in physically visible infrastucrture, may be many times more disjointed digitally- could it be that increasing hatred  across america of last 8 years is generated by this - what can de done to prevent our communities from teetering over the verge of a national breakdown

Some playing pieces of gov at the epicentre DMV (DC-Maryland-Virginia)

NSF (diary) - allocates intelligence funds from research compass of fei-fei li - imagenet  to Executive Order October 2023 pilot NAIRR

NIST (diary) operational standards but also Chips Act investment in US building chips manufacturing

DoE operates 13 super vcomputers across America

BJH - Bloomberg Johns Hopkins 

Over in California since 2009 (if not earlier) AI for humanuty has been transformed as a deep data/learning crisis. 2009 was when Jensen Huang heard both of Fei-Fei Li's (whos postdoc work on neuroscience is stuck until we train machines to vision vision was funded by National Science Foundation but until Stanford welcomed her not been that welcome by Princeton her origin, or Illinois where NSF had found her a supercomputer)  and demis hassabis (over from London funded by the royal society for neuroscience Gatsby)

Although my daughter was born in Bethesda I had never understood how much Data analysis for the whole of USA depends on

NSF National Science Foundation somewhere in Arlington Virginia

NIST somewhere in Gaitersburg Maryland

DofE headquarters in DC where 7500 supercomputer analysts are distributed across america at 13 supercomputer locations -heroic testinmony axios by helena July 2024

BJH is Bloomberg John Hopkins. Over almost the same period that Jensen-Li-Hassabis revolution has been brewing, Bloomberg has ben funding mayors and investing in chairs in intelligence at his alma mater Johns Hopkins - origin Baltimore but now thanks to Bloomberg with twin campus at 555 penn avenue; for example see this June 2024 debriefing on firs 10 years of the Data Act (through which regions liberate data which feds compile)

Below we overview who seems to be running what across NDN and of course their client service areas such as health NIH and CDC as well as drug authorisation FSA; connections to agriculture, meterology, ...

HERE IS A CHAT MADE WITH GEMINI AUGUST 2024- of course you can ask better questions than me but it does feel as if our lifetimes from the community up are not deeply seen yet

Can you help me very roughly understand different application compasses of american supercoimputing which I understand Dof Energy alocates throigh 13 regional supercomputers- if we put aside weapons and national security which are the biggest compute area such as ebnergy, heatly, education, agriucukture, transportation mapping - very rougjhly what are the relative amounts spent on supercomputing by which areas of service?

Understanding the Allocation of American Supercomputing

Disclaimer: The exact allocation of supercomputing resources across different areas can fluctuate over time and may not be publicly disclosed in detail, especially for projects related to national security. The following information is based on general trends and publicly available data.

Key Areas of Supercomputing Allocation

While the Department of Energy (DOE) oversees a significant portion of supercomputing resources in the United States, various other federal agencies and research institutions also allocate supercomputer time for their specific needs.

Here are some of the major areas where supercomputing is commonly used, along with rough estimates of their relative allocation:

1. Scientific Research: This is arguably the largest consumer of supercomputing resources. It encompasses fields like:

   • Physics: Particle physics, astrophysics, cosmology
   • Chemistry: Materials science, molecular biology
   • Climate Science: Climate modeling, weather prediction
   • Bioinformatics: Genomics, proteomics
   • Materials Science: Material design and simulation

2. Energy Research:

   • Nuclear Energy: Reactor design and simulation
   • Renewable Energy: Solar, wind, and other renewable energy technologies
   • Energy Storage: Battery research and development

3. National Security:

   • Defense: Weapons research, military simulations
   • Intelligence: Data analysis and intelligence gathering

4. Engineering and Design:

   • Aerospace: Aircraft and spacecraft design
   • Automotive: Vehicle design and testing
   • Manufacturing: Product design and optimization

5. Healthcare and Medicine:

   • Drug Discovery: Molecular modeling and drug design
   • Medical Imaging: Advanced imaging techniques
   • Personalized Medicine: Genomic analysis and treatment customization

Relative Allocation

• Scientific Research: Typically consumes the largest portion of supercomputing resources.
• National Security: While exact figures are classified, it is a significant consumer.
• Energy Research: A substantial portion of resources is allocated to energy-related research.
• Engineering and Design: A significant but smaller allocation compared to scientific research.
• Healthcare and Medicine: While growing in importance, it may have a smaller allocation compared to other areas.

Note: The allocation of supercomputing resources can vary depending on specific projects, funding priorities, and the availability of resources. Additionally, some supercomputing centers may have specialized facilities or capabilities that cater to specific research areas.

Would you like to delve deeper into a specific area of supercomputing or explore the role of supercomputers in a particular field?

I am having some difficulty in seeing where deep community needs 1 education 2 food/water local access agriculture 3 transportation grids fi=t into the application areas of supercomputing yiu have listed- can you clarify

Clarifying Supercomputing Applications in Community Needs

You're absolutely right to question the direct connection between supercomputing and some community needs. While supercomputing might not be the primary tool for addressing these issues, it can play a supporting role in various ways:

1. Education

• Personalized Learning: Supercomputers can analyze vast amounts of student data to create personalized learning plans, tailoring education to individual needs.
• Curriculum Development: Supercomputing can be used to develop and optimize educational materials, ensuring they are relevant, engaging, and effective.
• Remote Learning: Supercomputing can support online learning platforms, enabling access to education in remote areas.

2. Food/Water Local Access Agriculture

• Climate Modeling: Supercomputers can help predict climate patterns and their impact on agriculture, enabling farmers to adapt their practices accordingly.
• Crop Optimization: Supercomputing can be used to analyze genetic data and optimize crop varieties for specific regions and conditions.
• Supply Chain Optimization: Supercomputing can help optimize food distribution networks, ensuring efficient delivery to communities.

3. Transportation Grids

• Traffic Optimization: Supercomputers can analyze traffic patterns and optimize traffic flow, reducing congestion and improving transportation efficiency.
• Infrastructure Planning: Supercomputing can be used to simulate the impact of infrastructure projects, such as building new roads or public transportation systems.
• Energy Grid Management: Supercomputing can help manage energy grids, balancing supply and demand and optimizing energy usage.

While these applications might not directly solve the problems of education, food/water access, or agriculture, they can provide valuable insights and tools to support decision-making and improve outcomes.

Additionally, supercomputing can be used to develop and test new technologies and solutions that address these challenges. For example, researchers might use supercomputers to design more efficient irrigation systems or develop new agricultural techniques.

Would you like to explore any of these areas in more detail, or do you have other questions about supercomputing applications?

But just to check in the first listing of categories you gave me where did food//drink (agriculture matching community) fit -us it part of health?

You're absolutely right! Food and drink (agriculture) would typically fall under the category of healthcare in the context of supercomputing applications.

Here's how supercomputing can support food and agriculture:

• Food Safety: Supercomputers can analyze food safety data to identify potential hazards and outbreaks.
• Nutrition: Supercomputing can help analyze nutritional data to develop healthier food products and diets.
• Supply Chain Management: Supercomputing can optimize food supply chains, ensuring efficient distribution and reducing food waste.
• Agricultural Research: Supercomputers can be used for agricultural research, such as developing new crop varieties or improving farming practices.

So, while food and agriculture might not be a standalone category in supercomputing applications, it's closely related to healthcare, particularly in terms of food safety and nutrition.

OK and where did education fit in the first category listing

GEMINI

Education typically falls under the category of "Scientific Research" in the context of supercomputing applications.

Here's how supercomputing can support education:

• Personalized Learning: Supercomputers can analyze vast amounts of student data to create personalized learning plans.
• Curriculum Development: Supercomputing can be used to develop and optimize educational materials, ensuring they are relevant, engaging, and effective.
• Remote Learning: Supercomputing can support online learning platforms, enabling access to education in remote areas.
• Educational Research: Supercomputers can be used for educational research, such as studying learning patterns or developing new teaching methods.

So, while education might not be a standalone category, it is closely related to scientific research, particularly in terms of data analysis and modeling.

So to be clear what those aged 6 ro 17 (id thats roughly k to 12) experience through 12 years of life9 Approximately one sixth of national development if 72 years is life expectancy- thats not directly within supercomputing remit except in that it may trickle down from scientific R&D graduates do?

Gemini

That's a great point. While supercomputing might not directly shape the experiences of children aged 6 to 17, it can indirectly influence their lives in several ways:

1. Educational Technology: Supercomputing can contribute to the development of educational technologies, such as online learning platforms and interactive educational software.
2. Research and Development: Supercomputing can support research in fields like psychology, neuroscience, and education, which can inform educational practices and policies.
3. Economic Development: Supercomputing can contribute to economic growth and job creation, which can indirectly improve the quality of life for children and families.
4. Climate Modeling: Supercomputing can be used to study climate change and its impacts, which can inform policies aimed at protecting children's health and well-being.

While supercomputing might not have a direct, immediate impact on the daily lives of children, it can play a crucial role in shaping the broader environment in which they grow up.