Abstract Despite policy support, inappropriate use of emergency contraception in Ethiopia contributes to high rates of unintended pregnancy and maternal mortality. Traditional statistical analyses have struggled to identify complex predictors. This study used machine learning and Explainable AI to improve the predictio...
Muluken Belachew Mengistie, Abraham Keffale Mengistu, Wubete Lule Ayalew et al.· Scientific Reports· 0 citations
This Zenodo record is a permanently preserved version of a Structured PREreview. You can view the complete PREreview at https://prereview.org/reviews/22737224. Does the introduction explain the objective of the research presented in the preprint? Yes It explains the problem properly, namely the need for reliable method...
Namra Basharat· Zenodo (CERN European Organi...· 0 citations
Communication education increasingly requires students to work across two linked capabilities: critically evaluating professional communication materials and using generative AI (GenAI) with judgment, transparency, and ethical care. This article presents a “Broken and Repair” case-study assessment, developed in a postg...
Triparna Gandhi, Tom Whitford· Figshare· 0 citations
ServiceNow-based ITSM and AI-enabled workflow capabilities can improve operational efficiency, workflow development, and service delivery in public-sector benefits administration and future research should independently evaluate deployed ServiceNow systems across technical efficiency, workforce, fairness, governance, a...
Sindhu Bhargavi Vajja· American Journal of Technolo...· 0 citations
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A companion paper removed the MOND acceleration scale as an independent parameter and found that 155 SPARC rotation curves then select, with nothing fitted, the member n = 2 of the family mu_n(Y) = 1 - (1+Y)^(-n), which is kappa = 1/2. This paper reports what happened when we tried to DERIVE that integer, and one struc...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
A companion paper removed the MOND acceleration scale as an independent parameter and found that 155 SPARC rotation curves then select, with nothing fitted, the member n = 2 of the family mu_n(Y) = 1 - (1+Y)^(-n), which is kappa = 1/2. This paper reports what happened when we tried to DERIVE that integer, and one struc...
Carl P. Zimmerman· Zenodo (CERN European Organi...· 0 citations
AbstractArtificial intelligence (AI) literacy has emerged as a critical competency in elementary education as learners increasingly engage with AI-mediated and technology-rich learning environments. This study developed and validated a multidimensional AI literacy instrument for elementary school students using a resea...
Mhel Cedric D. Bendo, Torang Siregar· Figshare· 0 citations
The Observational Incompleteness Framework is an AI-based research programme deriving quantum-mechanical structure from the premise that observation is a proper subsystem of a deterministic whole. The archive contains three kinds of content: Technical papers (papers/) — the authoritative technical content, including th...
Alex Maybaum· Zenodo (CERN European Organi...· 0 citations
A road is thought to carry more the faster it runs. This paper shows that two states carry the same flow at speeds differing by 2.6180──and the maximum flow occurs at half the free-flow speed. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem or law is claimed──the fundamental diagram o...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Overall, Neural -Symbolic AI shifts computer vision from pure perception toward structured understanding and reasoning, although problems remain in scalable reasoning, knowledge integration, and real-world deployment.
This dataset record contains the curated brain MRI dataset, implementation code, and supporting research materials associated with the study entitled "Explainable Hybrid Swin-Unet for Trustworthy Multi-Class Brain Tumor Classification". The resource includes a reorganized four-class brain MRI dataset containing 10,456...
M Asif Chishti, Mehwish Iqbal· Zenodo (CERN European Organi...· 0 citations
This dataset record contains the curated brain MRI dataset, implementation code, and supporting research materials associated with the study entitled "Explainable Hybrid Swin-Unet for Trustworthy Multi-Class Brain Tumor Classification". The resource includes a reorganized four-class brain MRI dataset containing 10,456...
M Asif Chishti, Mehwish Iqbal· Zenodo (CERN European Organi...· 0 citations
StudentSim is a research system for evaluating and improving AI tutoring tools before they are tested with learners. It models how individuals may engage with tutors, giving feedback to improve tutor performance across subjects like chess, writing, and mathematics. The post Simulating student learning for better AI tutoring appeared first on Microsoft Research.
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post AI Has Grown Up. Have We? appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
MIT News · Artificial Intelligence· news.mit.eduOct 8, 2026
Training AI agents with reinforcement learning can be challenging because their tools, context, and decision-making are managed by complex frameworks. Agent Lightning connects existing agents to RL training, making it easier to improve them without rebuilding them. The post Agent Lightning v1.0: A 3,500-Line Lightweight Agentic RL Framework for Training Agents with Real Harnesses appeared first on Microsoft Research.
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