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

Ingram Micro Xvantage is reshaping IT distribution with an AI-powered, platform-driven model that simplifies complexity, boosts automation, and accelerates partner growth. Sanjib Sahoo, President, ...

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 ...

Overview: AI-driven finance platforms in 2026 have evolved from simple expense trackers into predictive systems that model cash-flow behavior and spending risk.

High-strength aluminum alloys are critical for making cars and planes more lightweight and fuel-efficient, but manufacturers ...

Australian and US researchers are working on a system using artificial intelligence to predict dengue fever danger zones in ...

See how BioDlink’s digital-intelligence platform is driving three major improvements in lyophilization workflows.

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