Category
2,999 papers
Code-only archive for the manuscript on the stability of machine-learning algorithm, feature and hyperparameter selection across random training-test splits in a coronary artery disease cohort. The archive contains selected analysis sources, recorded environment requirements, English-directory path-adaptation and prove...
The developed framework is intended as a decision-support tool for pathologist support and screening and prioritisation of suspicious microscopic images and not as a replacement for slide-level diagnosis or immunohistochemistry.
Regression testing in continuous integration (CI) helps preserve delivered software value by exposing regressions early, but limited feedback windows make test order consequential. This study evaluates a leakage-safe dynamic test case prioritization framework that reconstructs job–build–commit provenance, combines stri...
Abstract—Programming activities, such as automatic debugging and program repair, are increasingly being supported by Generative Artificial Intelligence (GenAI). However, a rigorous empirical evaluation of the efficacy of various large language models (LLMs) across several debugging phases is necessary. Using a benchmar...
Reach audiences
Advertise in front of researchers, engineers, and readers.
It is suggested that while LLMs may offer support in structuring and initiating power analysis, they cannot substitute for expert judgment and underscores the importance of critically evaluating LLM performance in statistically demanding tasks.
The results demonstrate that EXCODER provides an effective, though imperfect, solution to this problem in automated code generation, offering developers the first way to implement ERC following test-driven development.
This work presents a hardware-aware deep learning framework for multiclass detection of electrical faults and power quality disturbances in a 400 Hz aerospace power system, establishing simulation-based, accelerator-level feasibility for embedded edge AI in aircraft electrical health monitoring and motivating future en...
Ensuring the dependable operation of modern software systems under dynamic and non-stationary operating conditions remains a major challenge in software reliability engineering. Although recent deep reinforcement learning (DRL)-based approaches have demonstrated promising capabilities for closed-loop adaptation of soft...
Analysis code and tables for public path-fraction m in Hartman, Kinetic Analysis of Informational Disorder, v2.4 (2026), doi:10.5281/zenodo.22417058. Family A is a synthetic methods check. Family B v1 (Flask/HTTPie tag windows) has zero revert-message commits. Family B v2 (django train, CPython test) has revert-message...
Most European organisations now depend on AI services whose model, hosting, silicon and contract terms sit under the jurisdiction of a foreign state. This reference paper asks what the two governments concerned, the United States and the People's Republic of China, have already done with the power that dependency gives...
ConGen-R (Concrete Generalization and Reliability Tool) is bilingual research software developed to accompany the study “When High Accuracy Fails to Generalize: Source-Aware Validation and Uncertainty Calibration for Concrete Compressive Strength Prediction.” It addresses the risk that random observation-level data spl...
This repository contains the de-identified data and analysis code required to reproduce the results reported in "When Evidence Is Not Enough: Experimental Effects on Health Misinformation Endorsement" (N=3,200, between-subjects randomized experiment, 4 conditions: Control, Scientific Evidence, Framing Effect, Social Co...
We’re giving developers, enterprises, scientists, and consumers access to Gemini 4 Argon, our latest frontier model.
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.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
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.
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.
GPT-Lab
· gpt-lab.eu
Sep 23, 2026
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…
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
