AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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3,686 papers
Different optimizers can fit the same training data while selecting classifiers with substantially different geometries, but whether this difference provably affects population performance remains unclear. We show that row-wise normalization can achieve strictly higher population accuracy than full-batch Adam, a proxy...
This paper studies the construction of an explanatory space for a weighted naive Bayes classifier from the supervised representation induced by the model. We start from the classical supervised distance based on conditional log-likelihoods and introduce a discriminative reformulation based on log-odds, which is more di...
In self-supervised contrastive learning, negative pairs are typically constructed using an anchor image and a sample drawn from the entire dataset, excluding the anchor. However, this approach can result in the creation of negative pairs with similar semantics, referred to as "false negatives", leading to their embeddi...
Weight-only post-training quantization (PTQ) relies heavily on reconstruction loss minimization to preserve model quality at low precision. We show that the weights favored by minimizing this loss need not yield better model performance on new tasks. In fact, we find that lower reconstruction loss can even degrade mode...
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Background/Objectives: The aim of this scoping review was to investigate the current role and possible clinical applications of long non-coding RNAs (lncRNAs) in breast cancer diagnosis and treatment. Methods: A thorough search of the PubMed/MEDLINE and Scopus/EMBASE databases was carried out in accordance with the PRI...
Large populations of free-roaming horses (Equus caballus ) inhabit the western United States, Australia, and other arid and semi-arid rangelands globally. In the United States, horse body condition has been the impetus for gathering and removing horses under an emergency designation and has been noted as a common chron...
The implementation of deep learning principles in primary school natural and social sciences (IPAS) instruction still encounters numerous pedagogical constraints, including low learner engagement, suboptimal interactive media integration, and the persistence of teacher-centered teaching practices. These obstacles cause...
This study examined students’ collaborative learning, social-emotional development, and opportunities in music ensembles among 390 college students of Iloilo Science and Technology University, Iloilo, Philippines, during School Year 2025–2026. It specifically determined the levels of collaborative learning, social-emot...
Abstract Two of the most commonly used methods for adult age estimation in forensic anthropology utilize the pubic symphysis on the pubic bone and the sternal end of the fourth rib. Currently, there are no age estimation methods that combine visual assessments of the joints of both the pubic symphysis and sternal end o...
Two contributions in this Research Topic directly advance the measurement science that motivated this Topic. Subramaniam et al. ground the development of a new general measure of adult vaccine hesitancy for U.S. adults in the 3C framework, reporting content and face validity findings, including a content validity index...
Introduction Anti-doping social science has been shaped largely by Western and Eurocentric evidence, with limited research capturing athlete perspectives from geographically heterogeneous and potentially culturally diverse contexts. Major multisport events provide an opportunity to address this gap, especially when res...
Background Injection sclerotherapy is widely used for grade I–III internal hemorrhoids, but evidence comparing multiple sclerosing agents head-to-head is limited. Methods Pubmed, Web of Science, Embase, Cochrane Library, CNKI, Wanfang Data, and grey literature sources were searched for randomized controlled trials (RCT...
A machine-learning approach called CheMeleon provides a practical way to develop new drugs or other molecules with much less detailed, expensive experimentation.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Health & Bioscience
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Data Mining & Modeling
GPT-Lab
· gpt-lab.eu
Nov 3, 2026
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
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