Animal testing is costly, slow, and poorly predictive. ORIVA offers a human-relevant alternative with the potential to change that.

Generative tools may eventually reshape creative workflows, but predictive, optimization and data-driven AI are already ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

TotalEnergies partnered with Honeywell to deploy machine learning technologies at its Port Arthur Refinery in Texas, ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

The study by researchers from Qingdao University of Technology and the Shandong Engineering Research Center of City Information Modeling introduces the URCA model, a dynamic system for evaluating how ...

The study by researchers from Jiangxi’s universities introduces hybrid machine learning models optimized with Artificial ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability while achieving 91% ROC AUC accuracy in index ...

This paper investigates the presence of nonlinear mechanisms of pass-through from the exchange rate to inflation in Brazil. In particular, it estimates a Phillips curve with a threshold for the ...

Abstract: Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...

Asan Medical Center has introduced an advanced version of its elderly frailty score, which can now predict more risks associated with hospitalisation. The Acure Geriatric Risk Scale builds on the ...

Background: Chronic obstructive pulmonary disease (COPD) is the third leading cause of death globally and a major public health issue in China. This study aims to develop a COPD predictive model and ...