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2,947 papers
A new open-source toolkit cuDART is presented which allows meshed simulation data to be rapidly rendered into synthetic observations of optically thin emission, automatically accounting for a range of relativistic and geometric effects such as Doppler boosting.
An empirical study involving 5 Large Language Models and 4 benchmarks evaluates the effectiveness and efficiency of 3 widely used adequacy criteria: statement coverage, branch coverage, and mutation testing, finding that mutation testing only marginally outperforms traditional coverage criteria in both triggering and d...
Lymph node involvement and low lymphocyte infiltration are determining factors for tumor recurrence, as are the presence of comorbidities, alcohol, and smoking, reinforcing the need for continuous monitoring and personalized therapies.
How applied researchers engaged with the R tutorial and identified factors influencing its usability and perceived value may inform future tutorial design and the development and validation of more structured guidance, such as a checklist for tutorial development.
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A semi‐automated pipeline is developed and four genomic annotation methods (BRAKER2, BUSCO, Miniprot and Scipio) are compared to suggest that combining these tools can yield more accurate results in genomic research.
Violet combines RISC-V's virtualization features with software-based emulation, enabling the execution of unmodified M-mode RTOSs, and was implemented on the SiFive HiFive Premier P550 hardware, demonstrating that existing RTOSs can run on Violet's VM and that coexistence with GPOSs like Linux is also possible.
The study found that doctors' communication skills influence patients' service quality perceptions and their behavioral intentions and the significance of service quality is emphasised.
It is found that the timing of a career's biggest hit is close to a lottery over their works, with a small, replicable lean toward early career that grows as careers get longer, and on what to expect from generative AI for the careers built on them.
Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...
This conceptual working paper introduces the Integrated BIM-to-Decision Framework, a six-layer architecture that connects the origin of information demand to accountable engineering decisions and closes the process through structured feedback. It addresses a persistent limitation in BIM implementation: the tendency to...
Description This repository contains the complete, reproducible PyTorch source code for the study "Deep Learning for Odontoid Fractures: The Critical Role of Patient-Level Partitioning and Grad-CAM Verification in Model Generalization". The codebase implements an end-to-end deep learning framework designed to eliminate...
Code and data accompanying a benchmark of eleven large language models on zero-shot Cochrane Risk of Bias 1.0 assessment of 227 randomised controlled trials drawn from 123 Cochrane systematic reviews published in 2024. The deposit has two independent halves. The first is the assessment pipeline: a containerised web app...
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…
GPT-Lab
· gpt-lab.eu
Sep 17, 2026
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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