Abstract Quantum computations execute on noisy hardware whose effective noise is opaque and varies across platforms and over time. Complete descriptions of the underlying noise channel are often too detailed for reasoning, comparison, or analysis. We therefore study the semantic problem of constructing tractable abstra...
Anonymous author for peer review· Zenodo (CERN European Organi...· 0 citations
The research contends that data quality, controllability of generated outputs, and rigorous developer review are critical to the efficacy of AI-enhanced Test-Driven Development (TDD) methodology.
Vladyslav Pechenenko, O. Grinenko· ВИМІРЮВАЛЬНА ТА ОБЧИСЛЮВАЛЬН...· 0 citations
Artificial Intelligence (AI) has progressed from rule-based software and statistical prediction systems to highly capable foundation models, autonomous agents, multimodal systems, and AI-enabled tools that can plan and execute multi-step tasks. A particularly important development is the increasing ability of AI system...
R. Rajalakshmanan· Zenodo (CERN European Organi...· 0 citations
We present an EOS-driven extension of the NSCool thermal evolution code that enables complete tabulated equations of state to be treated within a single composition-based input structure. The generalized NEW interface includes additional baryonic fractions, a bosonic composition variable, the hadronic volume fraction,...
Unknown authors· 0 citations
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By automating document retrieval and evidence localization while preserving reviewer oversight, RefVerifier provides first indicators for the feasibility of semi-automated integrity checks in scholarly publishing.
Stefania Mocan, Florian Angermeir, M. Kreitz· Proceedings of the 1st Inter...· 0 citations
Long Period Variables (LPVs) are Asymptotic Giant Branch stars with periods>100 days. Around one third to half of LPVs display a Long Secondary Period (LSP) that is 5-10 times the length of the main periods. The exact cause of LSPs are unknown, with one potential explanation lying in cross-harmonics caused by the inter...
This paper proposes Agent ATO (Agentic Trajectory Observer), a tool for visualizing AI coding agent interaction timelines from console logs and provides filtered timelines that emphasize file discovery, file reading, file editing, and execution while preserving surrounding context.
Takuto Kawamoto, Yoshiki Hig, R. G. Kula· 0 citations
A bold attempt to detect privacy violations of AVP applications from network traffic through automatic testing on AVP devices with design and implementation of AVP-Inspect, an automatic dynamic analysis framework for AVP applications.
It is shown that LLM-based fault injection extends the behavioral coverage of fixed fault models without establishing general superiority, and that practical adoption still requires controlled generation, runtime validation, system-level oracles, and reproducible experimental provenance.
G. De Rosa, Pietro Liguori, D. Cotroneo· 0 citations
Conventional stacked-plate buffers (SPBs) generate trailing-echoes that can obscure defect responses in ultrasonic phased-array imaging. This study proposes a metasurface-enhanced stacked-plate buffer (MESPB) and a hardware–software framework for reducing these effects without increasing the buffer dimensions. A semi...
Yong-Feng Song, Hao-Nan He, Mao-Dan Yuan et al.· Smart materials and structur...· 0 citations
Differential fuzzing reveals complementary bugs in the manual and LLM porting of security-critical C libraries to idiomatic Rust and translates these findings into concrete practical guidance for teams planning a similar migration.
Marco Parrillo, Marco Grassi, Luigi Laura· Future Internet· 0 citations
Financial management behavior reflects how individuals independently handle, utilize, and organize their financial resources. This study aims to determine the influence of financial literacy, fintech payment usage, and a hedonistic lifestyle on the financial management behavior of Generation Z in Cimahi City, both part...
Unknown authors· Journal of Economics and Man...· 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.
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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