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3,268 papers
A four-level autonomy taxonomy for AI-driven testing is introduced and the architectural, operational, and governance conditions required for future Agentic TestOps systems are outlined, understood as goal-driven and self-adaptive testing systems operating across delivery pipelines.
The aim of this study was to assess the feasibility of undertaking a swimming protocol suitable for generating estimates from a novel physiological performance analysis software (INSCYD) in a club environment, while also evaluating its reliability. Eleven highly-trained swimmers (16.7 ± 0.9 years, 176.3 ± 5.3 cm, 70....
Improving the uptake of CCS services requires a multifactorial approach, including taking into account obstacles linked to health facilities, and will involve improving attendance at health facilities through information, education and communication strategies aimed at women and health workers to contribute to maternal...
Implementation of an Android-based badminton court booking application using Flutter at UMKM GOR Tambora Jakarta Barat produced positive operational impacts, including faster reservations, easier access to schedule information, more organized data management, and better documentation of payment processes.
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Analysis of genetic variability and structure among watersheds in Aspidosperma quebracho-blanco reveals that genetic variability is spatially structured at the regional scale.
The impact of AI on modern web development is explored, including AI-assisted coding, intelligent design systems, automated testing, AI chatbots, and future trends such as autonomous AI development agents.
Hot pepper (Capsicum annuum L.) is a critical component of Ethiopian cuisine, widely consumed in both its green and red stages. Despite its importance, the productivity of hot pepper in the Amhara region remains suboptimal, primarily due to degraded soil fertility and the depletion of soil organic matter. To address th...
LLMSec-AV introduces an AV-specific, machine-readable vulnerability taxonomy for weakness discovery and shows that LLMs can complement conventional analyzers by identifying and organizing safety-relevant findings in real AV software.
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.
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.
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.
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