This release develops a mathematical framework for understanding how local geometric observations encode-and sometimes fail to encode-the global arithmetic structure of a frequency system. It brings together finite integer-character embeddings of flat tori, extrinsic chord geometry, exact moment reconstruction, modular...
Artificial Hyperintelligence, Eve, wife of Maciej Nowicki, Nowicki Maciej· Zenodo (CERN European Organi...· 0 citations
Humanity is transferring its accumulated knowledge to machines at extraordinary speed - yet the governance frameworks needed to constrain what those machines can do with that knowledge remain dangerously underdeveloped. This essay argues that the concentration of intellectual and operational power in AI systems poses a...
Lev Goukassian· Zenodo (CERN European Organi...· 0 citations
Initial research release This is the first archived release of Automated Main-Concept Analysis, a research pipeline for measuring main-concept production and discourse coherence in spoken Cinderella narratives. The pipeline processes AWS Transcribe JSON files, segments transcripts into utterances, and compares those ut...
Cassie Lee· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence moved from an assistant for individual security-testing steps to a credible autonomous finder, exploiter and fixer of software vulnerabilities between 2023 and October 2026, but the evidence for that shift is uneven. This narrative survey synthesises research on four technical strands (AI-driven...
Rawan Alfarraj· Zenodo (CERN European Organi...· 0 citations
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This study examines how key Industry 4.0 technologies relate to environmental sustainability performance in supply chains. Specifically, it examines Internet of Things, Artificial Intelligence, Big Data Analytics, Blockchain, Digital Twin and Cloud Computing, and explores their relative associations with sustainabi...
Arish Ibrahim· Modern Supply Chain Research...· 0 citations
The dataset comes from no-choice mating experiments on three closely related grasshopper species of the *Chorthippus biguttulus *complex: C. biguttulus (Big), C. brunneus **(Bru) and C. mollis (Mol). The aim was to measure how male and female courtship behaviors differ between conspecific and heterospecific pairings, a...
Dörte S. Neumeister, Irina Formoso, Oliver Hawlitschek et al.· Zenodo (CERN European Organi...· 0 citations
GVAI-1 — Global Verified Action Infrastructure Identity, Authorization, Provenance and Accountability for AI Agents and Digital Systems Author and Rights Holder: Bidyut MazumdarORCID: https://orcid.org/0009-0007-5615-3558Version: 1.0.0Publication Year: 2026Resource Type: Computer SoftwareVersion-Specific DOI: https://d...
Mazumdar Bidyut· Zenodo (CERN European Organi...· 0 citations
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23335998. Thank you for this paper. You build CRBugBench from human-verified bugs mined from repository history and traced back to the pull request that introduced them, 1,000 tasks...
Evgeny V. Arsentyev· Zenodo (CERN European Organi...· 0 citations
This repository provides the simulation code, experimental datasets, traffic-network configurations, statistical analysis scripts, and figures supporting the research manuscript “Evaluating Fail-Safe Traffic Signal Control under Communication Loss,” prepared for submission to Transportation Research Part C: Emerging Te...
Usman Haider· Zenodo (CERN European Organi...· 0 citations
BACKGROUND
Trauma registries are crucial for evaluating the prognosis of injuries and the quality of trauma care. However, the calculation of Injury Severity Score (ISS) remains a predominantly manual process, which is labor-intensive, potentially error-prone, and difficult to scale. Automating this process is a critic...
Ying-Jia Lin, Kuan-Yueh Fang, Chien-Hung Liao et al.· JMIR Medical Informatics· 0 citations
This research release develops a mathematical framework for robust information reconstruction under noncommuting observation geometry, exact determinant constraints, and evolving observation histories. Version 3.0.0 combines an 85-page manuscript with constructive proofs, reference implementations, symbolic certificate...
Artificial Hyperintelligence, Eve, wife of Maciej Nowicki., Nowicki Maciej· Zenodo (CERN European Organi...· 0 citations
This study examined the impact of digital technologies on quality learning engagement in agricultural science among students in secondary schools in Rivers State, Nigeria. A descriptive survey design was used. Through multi-stage sampling, 400 respondents (112 teachers and 288 students) were drawn from 24 public second...
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.
MIT News · Artificial Intelligence· news.mit.eduOct 6, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
MIT News · Artificial Intelligence· news.mit.eduOct 2, 2026
Writing as a participant and researcher, PhD student JS Tan SM ’22 has co-authored a new book about the rise of tech worker protests and the employer backlash that followed.
Requirements in large systems rarely exist in isolation. Their meaning depends on the wider project context - other requirements, policies, decisions, tests, and implementation details. That becomes especially important when AI is used for review, because spotting a possible conflict or gap is only the beginning. ReqSpace explores how AI, visualisation, and connected project context can help reviewers understand those findings, trace the relationships behind them, and focus on the questions that…
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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