4th Inteligence Revolution pretraining meetings of 20000 brains- eg DC May 7 AI+expo

 Prequel video above is Economist Boardroom summary 2010 - 60th year of mediating von neumann questions of future of chips computers and satellites - for more detail please see final footnote or visit EconomistDiary windows such as 1970, 1976, 1984 or take youd pick regarding different national views of layer 3-5 AI (infrastructure data sovereignty*ai models*scaling community action apps) --- ER @ ME chris.macrae@yahoo.co.uk(2026) Year 76 of debating V Neumann hypothesis that AI century needs total transformation of education and health 1

ED: Breaking AI20s April 2026: Anthropic's Project Glasswing ; Ukraine Robot team wins a battle AIHealth - openai launches world class biotech chatgpt rosalind ; human world record set in Chinese robot half marathon

Diary May 7 Wash DC Convention Center:; in addition to attending keynotes. our pro-youth tour guides will begin with embassy and education booths as well as catchup with 17 national labs, NIST, NSF & National Academies. Level of 5-layer AI staffing of superchip booths also fascinating

Last year best booths tour for AI youth included SCSP booth, Arm booth, Embassy booth of Japan, France, Taiwan, 17 National Energy Labs booth -come back for updates eg this year go to NAAIC booth 1- ask about livelihood skills training Houston - see seedai), Wake (see AEI)

Confirmed speakers

• Eric Schmidt
• Dario Gill coordinator Genesis 26 urgent projects across 17 National Labs
• ======================================
• Subgroups
• 8
• Youth
• 7 Energy
• 6 Water
• 5 She-too
• 4 Education
• 3 Health
• 2 Food
• 1 Land Finance

9-12 Intelligence 4 revolutions

13 Climate 

14 Land

15 Ocean

16 Peace

 

AI + New Materials

For hundreds of years, new materials were discovered through trial and error, or luck and serendipity. Now, scientists are using artificial intelligence to speed up the process.

 

We can use databases and computations to quickly map out exactly what makes a material so much stronger or lighter — and that has the potential to revolutionize industry after industry.

AI + Deep Learning

Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data.

 

Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome.

AI+Robotics

AI has continued to create huge impacts across multiple industries and continued research has changed how AI affects the robotic industry.

 

While there exists limited applications of AI across some industries, the technology is making a serious impact in the robotics industry and the trend doesn’t show any signs of slowing down.

AI+Big Data

Businesses these days revolve around the data. AI and big data like technologies are evolving like a key player in transforming modern business operations.

 

Businesses these days are making use of this technology in business intelligence decision-making, pattern analysis, and predictions.

AI+Fintech

In the financial world, what’s needed is a new tech stack that can flex and adapt to changing market and customer requirements in real-time.

 

AI is proving to be very effective at interpreting and recommending actions based on real-time data streams. They’re also improving customer experiences and reducing risk, two additional factors motivating lenders to upgrade their traditional tech stacks with proven new technologies.

AI+Creativity

Creativity may be the ultimate moonshot for artificial intelligence. Already AI has helped write pop ballads, mimicked the styles of great painters and informed creative decisions in filmmaking. Experts wonder, however, how far AI can or should go in the creative process.

AI+Healthcare

Healthcare applications that leverage artificial intelligence could be used to make more accurate diagnoses, identify at-risk populations, manage and assign administrative resources, forecast the potential value of research projects, and better understand how patients will respond to medicines and treatment protocols.

 

AI will empower doctors to treat patients more efficiently, even remotely. It suggests exciting food for thought: the developing world may be able to leapfrog the developed world in healthcare delivery.