Skip to content

Category

data science

3,683 papers

#artificial intelligence Preprint Open access Oct 2026

A Theory of the Mechanics of Information: Generalization Through Measurement of Uncertainty (Learning is Measuring)

Traditional machine learning relies on explicit models and domain assumptions, often limiting flexibility and interpretability. We introduce a "model-free" framework of instance-based learning using surprisal (information theoretic uncertainty) to directly analyze and perform inferences from raw data, eliminating distr...

Christopher J. Hazard, Michael Resnick, Jacob Beel et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Calibration in One Go: Jointly Learning Accurate and Calibrated Neural Networks

This paper shows that standard (post-hoc) calibrators can be trained end-to-end with the backbone via a bilevel Stackelberg formulation, and shows that using the final classification layer itself as the calibrator yields accurate, well-calibrated models with no additional parameters.

Nektarios G. Kalampalikis, Pablo M. Olmos, Isabel Valera · 0 citations
#artificial intelligence Preprint Oct 2026

Not All Dimensions Are Equal: Outlier-Aware Attention Linearization with Grouped Quadratic Kernels

Linearizing softmax attention offers a route to efficient Transformer inference, but preserving pretrained attention remains challenging. We identify an important source of approximation error overlooked by standard linearization methods: a small number of outlier dimensions contribute disproportionately to query-key d...

Wei-Qi Sun, Qian-Yue Wu, Wen-Jia Wang et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning

When a language model is distilled from a teacher that shares its base parameters, the student can inherit behavioural traits of the teacher---including misalignment---even from data that is semantically unrelated to the trait (Cloud et al., 2026). All existing defences require knowing the trait. We remove this require...

Joseph Egan, C. Gilligan-Lee, Michael O'Riordan et al. · 0 citations
#artificial intelligence Preprint Open access Oct 2026

Faithfulness Without Anchors: A Position Paper on the Structural Misalignments of Explainable AI Faithfulness Metrics for Feature Importance

Explainable Artificial Intelligence (XAI) tools have often been presented as methods to increase trust in machine learning models by making aspects of their algorithms more human-understandable. However, evidence accumulated over the last decade points to an overall failure of this objective, instead promoting overreli...

Marco Zullich, Emily Schiller, Ivan Gentile et al. · 0 citations
#data science Dataset Open access Oct 2026

Chinese Materials Science & Advanced Metallurgy Open Intelligence Catalog

Official Scientific Intelligence Gateway: https://sinotechintel.com This repository provides a comprehensive, structured open dataset indexing 1,381 authentic Chinese scientific research publications in Advanced Metallurgy, High-Entropy Alloys, Metal 3D Printing, Titanium & Deep Tech. Curated and verified by the SinoTe...

SinoTechIntel Academic Editorial Office · 0 citations
#data science Open access Oct 2026

Menstrual Recovery and Premature Ovarian Insufficiency Following Fertility-Sparing Surgery and Platinum-Based Chemotherapy in Children, Adolescents and Young Adults (≤25 Years) With Malignant Ovarian Germ Cell Tumours: A Systematic Review and Meta-Analysis

Background and Rationale Malignant ovarian germ cell tumours (MOGCTs) are uncommon ovarian malignancies that predominantly affect children, adolescents, and young adults. Fertility-sparing surgery combined with platinum-based chemotherapy is an important treatment approach for eligible patients, aiming to achieve oncol...

Jeevarathinam Thirumalai · 0 citations
#data science Open access Oct 2026

THE EFFECTS OF LABORATORY PRACTICES ON HEAVY METAL CONTAMINATION OF WATER SOURCES IN TERTIARY INSTITUTIONS

Science, engineering, and health-related laboratories in tertiary institutions generate liquid waste that may contain toxic heavy metals, including lead, cadmium, chromium, manganese, and iron. Poor segregation, treatment, handling, and disposal of laboratory waste may contaminate drains and nearby water sources. This...

Sule Mundi · 0 citations
#data science Open access Oct 2026

Partnering With Generative Artificial Intelligence for Quantitative Data Analysis in Nursing Research: A Practical Workflow for Ethical Collaboration

Reproducibility and replicability are our scientific and ethical mandate, and the foundation of trust in nursing science and research. Both rest on transparent documentation of how data were actually analyzed. The rising use of generative artificial intelligence (GenAI) in research intersects with this mandate, with th...

Gina M. Gehling, Lacey W. Heinsberg · 0 citations
#data science Open access Oct 2026

EFFECT OF RISK FACTORS ON COST OVERRUNS IN ELECTRICAL INSTALLATION PROJECTS IN OSUN STATE, NIGERIA

The technical complexity and cost involved in electrical installation projects make them prone to risks. These risks, when not properly managed, often result to cost overruns. This study examined the effect of risk factors on cost overruns in electrical installation projects. The study focused on financial risk, techni...

Abayomi Adedayo Omonori, ADESINA NURUDEEN AJAO · 0 citations
#data science Open access Oct 2026

Research on the evaluation of growth capability of hard-tech enterprises—based on the financial data of Montage Technology from 2021 to 2025

After selecting data of Montage Technology from 2021 to 2025, one can observe a growth process that is not neatly linear. The overall scale expanded over the five years, yet the differences between years were large. Based mainly on the company's annual reports, this paper continuously observes the changes in operating...

Kaixiang Fei, Baowei Chen, Huan Yang · 0 citations
#data science Open access Oct 2026

An AI-Assisted Framework for Intelligent Manufacturing Analytics and Decision Support Using ERP Data

Manufacturing organizations record production, inventory, purchasing, and quality events in Enterprise Resource Planning (ERP) systems, yet these records are often fragmented, inconsistently timestamped, and reported with delay, which limits their usefulness for operational decisions. This paper proposes a modular fram...

Lalit Shirsath · 0 citations

From tech blogs

See all →
GPT-Lab Nov 3, 2026

Sovereignty Is the Option to Leave

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.

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.