Abstract: We propose a new dimension reduction method for matrix-valued data called Matrix Non-linear PCA (MNPCA), which is a non-linear generalization of (2D) ${}^{2}$ PCA. MNPCA is based on ...

Meta will start using AI to scan photos and videos for visual clues to see if a user is under 13 and should be removed from Facebook and Instagram, the company announced on Tuesday. These visual clues ...

Abstract: During the operational lifespan of the honeycomb sandwich structure (HSS), it is necessary to monitor the structural integrity to ensure its safety. Air-coupled ultrasonic guided wave ...

The introduction of dynamic arrays triggered the biggest change to how we work with Microsoft Excel formulas in years, if not decades. They allow a single formula to spill multiple results into ...

“Multiscale Structural Mechanics: Top-Down Modeling of Composite Structures Using Mechanics of Structure Genome” delivers a unified approach to composites modeling based on the concept of structure ...

Uses and structures that do not conform to a zoning ordinance are deemed “nonconforming uses” and “nonconforming structures,” respectively. Uses relate to the utilization of land (e.g. type of ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...

State Key Laboratory of Materials Processing and Die and Mould Technology, and School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China ...

Figure 1: Results of the bio-inspired topology. (a) Photograph of a seahorse specimen, (b) deformation schematic of the square exoskeleton of seahorses, (c) topological structure and (d) ...

Plasma amyloid-β(Aβ)42/40 ratio, glial fibrillary acidic protein (GFAP), neurofilament light (NfL), and phosphorylated tau181(p-tau181) are promising biomarkers for Alzheimer’s disease (AD)-related ...

In the world of machine learning, neural networks are celebrated for their ability to learn complex patterns. But there’s a critical component that often goes underappreciated: activation functions.

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...