Rapidata emerges to shorten AI model development cycles from months to days with near real-time RLHF

Rapidata treats RLHF as high-speed infrastructure rather than a manual labor problem. Today, the company exclusively announced to us at VentureBeat its emergence with an $8.5 million seed ...
IEEE

Four Decades of E-Model Development for Time-Dependent Dielectric Breakdown (TDDB)

Abstract: A historical review of E-Model development for time-dependent dielectric breakdown (TDDB) is presented. The E-Model tends to be a very useful reliability assurance model for TDDB because of ...

OpenAI says new coding model helped build itself

The new coding model released Thursday afternoon, entitled GPT-5.3-Codex, builds on OpenAI’s GPT-5.2-Codex model and combines insights from the AI company’s GPT-5.2 model, which excels on non-coding ...
GitHub

Nonlinear Model-Predictive Control Using Koopman Operator

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...
Journal of Medical Internet Research

Deep Learning–Based Electrocardiogram Model (EIANet) to Predict Emergency Department Cardiac Arrest: Development and External Validation Study

The model was developed and internally validated on the NTUH-ECG data set and was externally validated on an independent FEMH-ECG data set. The model performance was evaluated using the F1-score, area ...
IEEE

Semantic Analysis of Domain Model Evolution in Model-Driven Software Development

Abstract: Model-Driven Engineering (MDE) aims to improve the development of software systems by utilizing models as primary source artifacts and leveraging automation, such as model-to-code ...