The primary aim of this research is to investigate the extent to which standard Fused Deposition Modelling (FDM) 3D printers can be explicitly controlled to fabricate flexible microstructures. Specifically, the study seeks to determine if manipulating automated toolpaths via geometric code (G-code) generation can c...
Per-object ML-KEM against classical key exchange on an S3-compatible object store, with two client implementations, two processor types and up to 500 concurrent workers, using pre-registered experiments and statistical equivalence tests, shows that the size of the loss depends on the implementation.
Revanth Reddy Lingala, K. G. Rao, Padigela Srujan et al.· 0 citations
Most high-energy-physics software packages implement Lorentz boosts for themselves. At sufficiently large boosts, these routines can return finite, plausible-looking four-vectors whose invariant masses and rest-frame properties are no longer accurate. We survey implementations in widely used collider and air-shower sof...
This study audits four quantum mutation-testing tools and three curated bug benchmarks, and collects 410 verified bugs from ten quantum software repositories over two years to provide empirical evidence to guide fault models and benchmarks that capture these mechanisms and preserve the contexts needed to reproduce them...
Asif Mohammed Saad, A. Sabit, Jonah Brandenburgh et al.· 0 citations
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An empirical evaluation of mainstream Rust SAST tools using security vulnerabilities identified in real-world Rust applications is conducted and a large language model (LLM)-assisted automated testing framework, TRUST, is proposed, which automatically analyzes the official Rust reference to derive and implement semanti...
Huai-En Zhang, Zheng-Jie Zhao, Yu Pei et al.· 0 citations
We present an expanded empirical framework for predicting the density of chalcogenide glasses (ChGs) and use it to examine atomic bonding interpretations across a broad compositional landscape. Building on our earlier methodology and dataset work, we compile 468 measured densities spanning 60 elemental families and 19...
T. J. Loretz, R. Loretz· Journal of Optics and Photon...· 0 citations
Original explanatory preprint for the finite SIGMA nonlinear mixing model. It derives conservation, nonnegativity and a complete-step contraction under an explicit uniform positive-mixing assumption; reproduces a constant-fraction rational trajectory and its closed-form decomposition; and distinguishes injective from n...
Riccardo Giudici· Zenodo (CERN European Organi...· 0 citations
English: Modern Web Development — Le Développement Web Moderne is a bilingual educational article in English and French by Arman Asadi. It introduces key concepts and technologies in modern web development, including HTML, CSS, JavaScript, responsive design, frontend frameworks, APIs, accessibility, cybersecurity, Git,...
Arman Asadi· Zenodo (CERN European Organi...· 0 citations
Phosphates are commonly used food additives; however, their excessive use or long-term consumption may pose health risks, making their accurate detection crucial for food safety and human health. In this study, 2-(4-carboxyphenyl)imidazo[4,5-f]-1,10-phenanthroline (HNCP) and pyrazine-2,5-dicarboxylic acid (H2PZDC) were...
Q. Bu, Xiao-Rui Yang, Xiao-Wei Huang et al.· Analytical Methods· 0 citations
AI-Donkey is developed, an agentic framework that combines expert-curated knowledge with deterministic execution to enable high-fidelity GW, GW-BSE, and GWPT calculations and analyses and demonstrates autonomous calculations and post-processing on 1D, 2D, and bulk materials, including the many-body enhancement of Frohl...
Ben-Ran Zhang, Byeongchan Lee, Zi-En Zhu et al.· 0 citations
Client diversity is often cited as the Lightning Network's defence against a bug in any one implementation, yet LND runs 84% of public nodes and holds 84% of public channel capacity, a share that has barely moved since 2023. We test what diversity buys with a natural experiment. On 26 August 2026, amid security fixes i...
LLM4SAST is presented, the first universal framework detecting faults in SAST tools using large language models and dynamic feedback, and its key insight is leveraging LLMs to understand and transform code in diverse programming languages.
Huai-En Zhang, Yu Pei, Hao Chen et al.· 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…
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