Discover how Excel's AI-powered Agent Mode automates financial modeling, saving you time and reducing errors. Faster, smarter ...

Causal AI transforms key areas of manufacturing by revealing what happens and why. In predictive maintenance, it shifts focus from forecasting failures to understanding how maintenance strategies ...

Abstract: The Partially Spoofed Speech Detection (PSSD), as a multi-task learning problem, typically comprises segment- and utterance-level detection tasks, benefitting from diverse feature ...

PagePeek unveils an AI-led framework to evaluate topological psychology, auditing mathematical rigor and psychological validity across ...

Abstract: Masked modeling has recently achieved remarkable success in specific fields of vision and language, sparking a surge of interest in graph-related research. However, Masked Graph Modeling ...

Researchers from Los Alamos National Laboratory, the Max Planck Institute, and Nvidia developed a teacher–student AI ...

Dynamic Causal Modeling (DCM) is a powerful method for inferring the causal structure of dynamic neural systems by estimating effective connectivity from observed blood oxygenation level-dependent ...

Creator content has transformed from platform-specific posts to becoming the central engine powering marketing strategies ...

Graphs are extremely useful in modeling systems in physical sciences and engineering problems, because of their intuitive diagrammatic nature. This text gives a reasonably deep account of material ...

Modern B2B data analytics is the practice of turning streams of B2B transaction and customer data into actionable insights ...

A multi-level BOM is a bill of materials that details the components of various subassemblies in addition to the final ...

Modelers have demonstrated that artificial intelligence (AI) models can produce climate simulations with more efficiency than ...