Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Abstract: This work presents an unsupervised learning-based approach to approximate the controller of the Lyapunov-based Model Predictive Control (MPC) for a class of continuous-time nonlinear systems ...

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 ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

ABSTRACT: Accurate histological classification of lung cancer in CT images is essential for diagnosis and treatment planning. In this study, we propose a vision transformer (ViT) model with two-stage ...

Reclassification is again on the horizon in West Virginia high school athletics — this time in a way that seems to be more agreeable. The West Virginia Secondary School Activities Commission’s Board ...

This repository implements the Intent Prediction-Driven Model Predictive Control (Intent-MPC) framework, enabling the robot to navigate safely in dynamic environments. For additional details, please ...

Generative AI too unreliable to launch? Predictive AI will realize genAI's bold, often overzealous promise of autonomy – or at least a great deal of it. Predictive AI has the potential to do what ...

1 Department of Gynaecology and Obstetrics, Maternal and Child Health Hospital, Shanghai, China 2 Department of Gynaecology and Obstetrics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University ...