Confused about cost functions in neural networks? In this video, we break down what cost functions are, why they matter, and which types are best for different applications—from classification to ...

Abstract: Maximum Likelihood (ML) Direction-of-Arrival (DoA) estimation under the Vectorized Covariance Matrix Model (VCMM) provides improved performance. However, the associated optimization problem ...

Multimodal Artificial Intelligence Model From Baseline Histopathology Adds Prognostic Information for Distant Recurrence Assessment in Hormone Receptor–Positive/Human Epidermal Growth Factor Receptor ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

ABSTRACT: This study presents the design and modeling of an Automated Voltage Regulator (AVR) using MATLAB/Simulink, with a comparative performance evaluation against Proportional-Integral-Derivative ...

John Kilhefner is a writer and editor at the intersection of digital media, finpub, GenAI, gaming and cybersecurity. John Kilhefner is a writer and editor at the intersection of digital media, finpub, ...

On Monday, Pope Leo the Fourteenth invited the young pilgrims gathered from all over the world at Mladifest in Medjugorje to choose encounters with God, friends and family instead of artificial ...

Abstract: In this paper, we consider the risk-sensitive cost criterion with exponentiated costs for Markov decision processes and develop a model-free policy gradient algorithm in this setting. Unlike ...

Insights on inclusive marketing, brand strategy, and cultural impact — Josh Weaver writes at the intersection of equity, creativity, and systems change. Insights on inclusive marketing, brand strategy ...

Inspired by the linearized adiabatic connection (AC0) theory, an approximation to second-order N-electron valence state perturbation theory (NEVPT2) has been developed, termed NEVPT within singles ...