A team of Chinese researchers has developed an AI-based modeling approach that revolutionizes the prediction of complex ...

Nonlinear improvement seen in relative benefit of distant metastasis, OS, with reduced benefits beyond nine to 12 months of ADT.

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Abstract: This article proposes a data-driven dynamic state-estimation (DSE) approach designed for photovoltaic (PV) energy conversion systems (single stage and two stage) that are subjected to both ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Abstract: The complexity of data and limited model generalization significantly hinder prediction accuracy. A physics-informed long short-term memory model with adaptive weight assignment (PILSTM-AWA) ...

MELVILLE, N.Y., Dec. 22, 2025 /PRNewswire/ -- AIP Publishing (AIPP) has named Michael Small, Professor of Applied Mathematics ...

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.

The artificial intelligence (AI) saga, supported by the massive growth of cloud computing and data centers, is yet to fully unfold. This space remains rock solid supported by an extremely bullish ...