The Neural Child Development System is a breakthrough artificial intelligence framework that reconstructs the learning method of neural networks by simulating human psychological development stages (including cognitive, emotional, and social growth). This system integrates developmental psychology theories (such as Piaget's cognitive development stages and attachment theory) and neuroscience principles to build a complex architecture including perceptual processing, emotional regulation, memory systems, and psychological components, aiming to create AI with real emotional intelligence and natural development capabilities.

The DocuMind MCP Server is a next-generation document quality analysis server based on neural networks. It provides functions such as README evaluation, SVG header image scanning, and multi-language support through advanced algorithms, and offers AI-driven document improvement suggestions for developers.

DocuMind MCP Server is a document quality analysis server based on neural networks. It comprehensively evaluates README files through advanced algorithms, provides improvement suggestions, and supports multi-language document verification and SVG header image analysis.

GNNEPCSAFT MCP Server is an implementation based on the Model Context Protocol (MCP) for thermodynamic calculations of the GNNePCSAFT tool. It predicts ePC - SAFT parameters through Graph Neural Networks (GNNs), supports the calculation of thermodynamic properties such as density and vapor pressure for pure substances and mixtures, and can automatically obtain molecular data from PubChem.