Looking for an machine learning expert, tensorflow, policy network and value network AI

Tell me how you plan to do this, if I like your plan, you may be chosen.

This is used for creating images of people's faces that doesn't exist

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There are open journal databases online, I am looking for someone that knows how to access it, and push it into this AI. Watch and learn aging, and use some of the key phrases to look for relevant information in regards to supplement and aging - [login to view URL] (The hallmarks of aging)

I am looking for an AI that can comb through millions of journals, and come up with methods to extend life via supplements. There are many on the market, from Coq10, to resveratrol.

[login to view URL] (resveratrol) -Lifespan extension

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1) Genomic Instability

2) Epigenetic Alterations

3) Telomere Attrition (Telomeres shrink over time)

4) Loss of Proteostasis

5) Mitochondrial Dysfunction

6) Deregulated Nutrient Sensing

7) Cellular Senescence

8) Stem Cell Exhaustion

9) Altered Intercellular Communication

Defining the policy will be tricky I'd imagine. TA-65 increases telomerase size, Fisetin, quercetin are good Senescent bad cells removal. While one can play aging as Lee Sedol in alphago.

An AI in aging, may discover supplements in buried journals, or combinations, that give the maximal human life expectancy. There are an near infinite amount of possible combinations via healthstores and possible products. Perhaps something random like ashwagandha makes a massive difference for aging, but no one knows about it.

Talk to transformer AIs, or ones where you feed an text script into it, say an star trek. Can generate script for new episodes, depending on what the model is. Perhaps one method is feeding journals on aging and supplements?

Machine Learning (ML) Python Estatísticas Extração de Dados Neural Networks

ID do Projeto: #25672824

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