Flow for an AI System That Automatically Converts Training Data to MTL, Creates Models, and Feeds Data to Domain-Specific AI Models

This system enables AI to autonomously process user-provided training data (storybooks, scientific papers, technical documents, etc.), convert it into Machine Thought Language (MTL), and automatically create domain-specific AI models when needed. The AI system then trains these models with structured data while maintaining cross-domain knowledge consistency.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15072699
Primary Topic
AI-based Problem Solving and Planning
Type
article
Field-Weighted Citation Impact
0.00
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article

Flow for an AI System That Automatically Converts Training Data to MTL, Creates Models, and Feeds Data to Domain-Specific AI Models

Zenodo (CERN European Organization for Nuclear Research)
AI-based Problem Solving and Planning
article

Flow for an AI System That Automatically Converts Training Data to MTL, Creates Models, and Feeds Data to Domain-Specific AI Models

article en

Abstract

This system enables AI to autonomously process user-provided training data (storybooks, scientific papers, technical documents, etc.), convert it into Machine Thought Language (MTL), and automatically create domain-specific AI models when needed. The AI system then trains these models with structured data while maintaining cross-domain knowledge consistency.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 76%
AI-based Problem Solving and Planning
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Flow for an AI System That Automatically Converts Training Data to MTL, Creates Models, and Feeds Data to Domain-Specific AI Models · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS