Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: Fuel cell systems are emerging as a strong alternative to traditional power sources due to their high energy efficiency, greater energy density, and zero emissions. However, their relatively ...

Abstract: Model predictive current control (MPCC) based on sliding mode disturbance observer (SMDO) effectively addresses the issues arising from parameter mismatches and unmodeled nonlinear elements ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in ...

Firms may use analytical tools—including software, machine learning, or predictive model—so long as they make independent ...

A model that combines a host biomarker with a generative artificial intelligence (AI) analysis of electronic medical records ...

Lyophilization model can help optimize freeze-drying steps for continuous manufacturing processes, according to MIT researchers.

Eagle AI Labs, a fast-growing developer of advanced predictive AI systems for digital asset markets, announces the official ...

As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models ...

An analysis by Shinshu University and the Distribution Economics Institute of Japan shows that wholesale prices for ...