Ainnocence and Phase Advance Enter Industry-First AI Collab to Reduce Drug Development Timeline and Clinical Trial Risk

The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

Sensorless Model-Free Predictive Control of Permanent Magnet Synchronous Motor

Abstract: Model-free predictive control has demonstrated robust performance while maintaining the benefits of predictive control, including precision and rapid transient response. This technique has ...
Frontiers

Analytic Hierarchy Process Evaluation Model for the Introduction of Talents among University Teachers

The final, formatted version of the article will be published soon. In this paper,a quantitative evaluation model based on the Analytic Hierarchy Process (AHP) is constructed to addresses the issues ...
IEEE

Enhanced Multi-objective Model Predictive Control for Permanent Magnet Assisted Synchronous Reluctance Machines: A Robust Implementation with Sparse Parameter Identification

Abstract: Model predictive control of permanent magnet machines is still attracting attention due to the need of simultaneously addressing computational burden, robustness to parameter variance and ...
Tech Xplore

Discrete spatial diffusion models data while obeying scientific principles

Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...