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 ...

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 ...

Effective AML compliance requires accurately screening for sanctions, politically exposed persons (PEPs), and adverse media. Two algorithms: Jaro-Winkler and Levenshtein, often come up in discussions ...

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 ...

NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...

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 ...

Abstract: Identifying positive influence dominating set (PIDS) with the smallest cardinality can produce positive effect with the minimal cost on a social network. The purpose of this article is to ...

In contemporary breeding programs, typically genomic best linear unbiased prediction (gBLUP) models are employed to drive decisions on artificial selection. Experiments are performed to obtain ...