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 ...

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 ...

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.

Economists say unbiased data is essential for policymaking, and for democracy. President Trump said he ousted the head of the Bureau of Labor Statistics because the numbers produced by her agency were ...

Data Poem, a developer of cutting-edge artificial intelligence models for business orchestration, today announced the launch of POEM365, a large causal AI model designed to transform how large ...

Abstract: Kernel-based subspace clustering, which addresses the nonlinear structures in data, is an evolving area of research. Despite noteworthy progressions, prevailing methodologies predominantly ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...

Abstract: This article presents a novel data-driven approach to nonlinear system control using a behavioral systems framework. A dynamic latent variable autoencoder (DLVAE) is proposed to project the ...