Panoplai Releases Independent White Paper Introducing a New Validation Framework for Digital Twins and Synthetic Data

Panoplai has announced the release of an independently authored white paper that introduces a new validation framework for evaluating and successfully adopting digital twins and synthetic data in the ...
GitHub

Model Context Protocol (MCP) Curriculum for Beginners

The Model Context Protocol (MCP) is a cutting-edge framework designed to standardize interactions between AI models and client applications. This open-source curriculum offers a structured learning ...
Journal of Medical Internet Research

Development and Validation of an Explainable Deep Learning Model to Predict In-Hospital Mortality for Patients With Acute Myocardial Infarction: Algorithm Development and ...

The Self-Attention and Intersample Attention Transformer model performed best in both the internal test data set and the external validation data set among the 9 prediction models, with the highest ...
IEEE

Research on Performance Degradation Mechanism and Correction of Core Loss Model of Amorphous Alloys Based on Wire Cutting

Abstract: Amorphous alloys (AAs) exhibit low core loss, making them ideal for high-speed motor cores, significantly enhancing motor efficiency. However, the performance of AAs declines after being ...
Journal of Medical Internet Research

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

External validation was performed using data from 670 patients at Ajou University Hospital (March 2022 to September 2022). We evaluated machine learning algorithms (random forest [RF], extra-trees ...
IEEE

EMT Model Validation Throughout the Life Cycle of Wind Power Plants Based on Type IV Turbines: Experiences and Recommendations

Abstract: The validation of Electromagnetic Transients (EMT) models is essential for ensuring the accuracy of grid compliance and stability studies. However, there is still room for improvement in ...
GitHub

Local Model Supply for .NET — on-demand AI inference

Your application ships with zero bundled models. The base package is tiny. Models, tokenizers, and runtime components are downloaded only when first requested and ...