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3,291 papers
Large language model (LLM) agents increasingly write, compile, execute, and revise software inside systems that also hold files, credentials, and network authority. In that setting, security cannot depend on human review, external sandboxes, or post-hoc filtering alone: those mechanisms treat generated code as an opaqu...
Reproducibility package for Reliable Defect Probabilities Across Software Releases: A Leakage-Controlled Calibration Study. The original experiments cover 9 Java projects, 32 releases, 65 metrics, 14 chronological release transitions, four classifiers, and 56 project-transition-classifier tasks. The archive contains or...
Version 3 (correction release). Changes relative to v2: - 02_analysis_figures.py: the linear mixed-effects models are now fitted by maximum likelihood (reml=False) as specified in Supplementary Text S1, and the marginal/conditional R2 of Nakagawa & Schielzeth (2013) are computed from the fixed-effect linear predictor o...
SAE-HPC Suite 1.1 is a reproducible research software package for structure-aware exact-arithmetic workflows. It combines byte-exact state compression, owner optimization, finite-horizon plan selection, robust-regret certification, retained benchmark evidence, and fresh local systems validation. The release includes C+...
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This study aims to determine the impact of the Debt-to-Equity Ratio (DER) and Price-to-Book Value (PBV) on financial distress among transportation sub-sector companies listed on the Indonesia Stock Exchange during the 2019–2024 period. This research employs a quantitative approach with an associative method. Secondary...
This record provides the computational reproducibility package for the study “Hierarchical Genesis through Learning: From Learned Macro-Representations toward New Organizational Levels.” Stage A is a 20-seed gradient-learning experiment in which a 24-component adaptive system develops a low-rank macro–micro feedback pa...
The Initial assessment of LB showed a promising antimicrobial action in dentin model that exceeded LA and CH, and appears to reduce bacterial viability rather than remove biofilm mass, warranting further validation in polymicrobial and intact canal models.
SAE-HPC Suite 1.1 is a reproducible research software package for structure-aware exact-arithmetic workflows. It combines byte-exact state compression, owner optimization, finite-horizon plan selection, robust-regret certification, retained benchmark evidence, and fresh local systems validation. The release includes C+...
This record provides the computational reproducibility package for the study “Hierarchical Genesis through Learning: From Learned Macro-Representations toward New Organizational Levels.” Stage A is a 20-seed gradient-learning experiment in which a 24-component adaptive system develops a low-rank macro–micro feedback pa...
Defense artificial intelligence has advanced quickly across four layers: operational data integration, command and control, fleet-scale coordination, and platform autonomy. This paper argues that the success of those layers has produced a distinct problem that none of them addresses. As reasoning distributes into senso...
Defense artificial intelligence has advanced quickly across four layers: operational data integration, command and control, fleet-scale coordination, and platform autonomy. This paper argues that the success of those layers has produced a distinct problem that none of them addresses. As reasoning distributes into senso...
Frontier model capability has improved rapidly for four years while the rate at which organisations convert artificial intelligence pilots into production has not. This paper argues that the two facts are connected, and that the binding constraint is no longer reasoning quality but continuity: what an autonomous system...
A Blog post by Ai2 on Hugging Face
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.
Evaluating Microsoft Copilot at enterprise scale requires test data that captures the full complexity of real organizations, yet real enterprise data contains sensitive information that cannot be used for evaluation under any circumstances. The post From synthetic enterprise data evaluations to real Microsoft Copilot AI confidence appeared first on Microsoft Research.
Host Sowbhagya Suresh shares some of the latest news and cutting-edge research from across Microsoft—from understanding the challenges facing coding agents to uncovering how people use AI at work and improving extended-range weather forecasting. The post Microsoft Research Focus – Edition #97 appeared first on Microsoft Research.
A Blog post by IBM Granite on Hugging Face
“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.
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