Update: In March 2026, California Attorney General Rob Bonta issued an enforcement advisory letter to baby food manufacturers and retailers, reminding them of their responsibility to comply with ...
Abstract: Ensuring transparency and explainability in Artificial Intelligence (AI)/Machine Learning (ML) models is crucial for their effective deployment in wireless networks. This paper addresses the ...
May 19 (Reuters) - Nvidia (NVDA.O), opens new tab is expected to deliver another blockbuster earnings report on Wednesday, but a shift in how artificial intelligence is used is raising doubts on how ...
Serhou Guirassy has reportedly told Borussia Dortmund he would like to leave the club this summer with several Premier League sides interested. The 30-year-old has impressed over his two seasons with ...
The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use ...
A production-grade pipeline for causal effect estimation on large-scale user interaction data. Implements difference-in-differences, propensity score matching, and automated power analysis on 500K+ ...
Over a decade ago, when I was first starting to pretend I could write about quantum mechanics, I covered a truly bizarre experiment. One half of a pair of entangled photons was sent through a device ...
Familial confounding and causal inference in child and adolescent neurodevelopment and mental health
Copyright: © 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Recent announcements by the ...
Quantitative finance continues to debate the reliability and limits of model-driven investment strategies. Causal reasoning remains essential, but the relevant structure may itself include feedback ...
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