A search-based metamorphic testing approach that identifies a minimal set of transformations on underwater images to induce incorrect model predictions, thereby revealing VLM failures and derive lessons for software engineering practitioners and researchers working on quality assurance of VLM-based software systems.
Muhammad Yousaf, Aitor Arrieta, Shaukat Ali et al.· 0 citations
The Milvue SmartUrgences AI software may provide useful decision support during acute radiographic assessment, but AI output should complement rather than replace clinical and radiological assessment.
M. H. Christensen, Rasmus Elsøe, Firaz Mahdi et al.· Skeletal Radiology· 1 citation
The findings support the claim that BF is a more structured and automation-friendly framework than CWE, and exploration reveals specific gaps in BF, including under-specified guidance on attributes.
Mohammad Nazmul Hoque, Shaswata Mitra, Subash Neupane et al.· 0 citations
The contribution is a bounded application of established optimization to selecting assurance context for a software change; discovering the obligations and downstream agent benefit remain open.
Anjan Goswami· 0 citations
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A preliminary nonvalidated script for cone detection in retinal AO images with support from GPT-4 is developed and before such a script can be used in clinical research, it should undergo more fine-tuning and extensive testing.
J. Pas, Ludo van der Zanden, Yoeri van Leeuwen et al.· JMIR Formative Research· 0 citations
Securing wireless communication against eavesdropping is critical, particularly in dynamic and decentralized environments. We present gr-PHYSEC, a new GNU Radio out-of-tree (OOT) module for real-time physical-layer key generation. Unlike traditional key generation that relies on pre-shared secrets or computational comp...
Jose Angel Sanchez Viloria, G. Sklivanitis, D. Pados· 0 citations
This paper formalizes a test-based approach for bivariate causal discovery by repurposing goodness-of-fit and independence tests within a hypothesis-testing framework and demonstrates the use and behavior of the inferential framework through simulations that vary the degree of assumption violation, as well as through r...
Shreya Prakash, Fan Xia, Elena Erosheva· 0 citations
This work examines what structure is supplied by the game or workflow, what AI learns or produces, which capabilities and artifacts transfer across settings and roles, and what evidence supports the claims and identifies cross-role connections.
Meng-Yang-Yu-Jing-Jia Luo, Yan-Lin Li, Hao Li et al.· 4 citations
FairLint-DL, a Visual Studio Code extension that implements a shift-left approach to fairness testing by enabling pre-training, IDE-native bias detection directly on tabular datasets, demonstrates the feasibility of integrating fairness analysis into the developer workflow without significant overhead.
Archit Rathod, Saeid Tizpaz-Niari· Proceedings of the 41st IEEE...· 0 citations
This article describes an open image dataset for developing and evaluating active-fire segmentation methods in satellite imagery. The dataset contains 2,148 image-mask pairs from 25 California wildfires, with acquisitions spanning July 2020 to August 2026. Each image is a 512x512-pixel, three-channel composite derived...
Shreyan Mitra, Mohammadreza Narimani, Parastoo Farajpoor· Data in Brief· 1 citation
A channel-informed neural network is introduced for physical-layer key generation that derives binary key features directly from received IQ measurements while explicitly grounding the learned representation in the underlying multipath channel.
Jose Angel Sanchez Viloria, G. Sklivanitis, D. Pados et al.· 0 citations
Is your company’s AI sovereign? A practical guide for CIOs on AI vendor lock-in, EU Data Act switching, cloud sovereignty, and testing your exit plan before you need it. The post Sovereignty Is the Option to Leave appeared first on GPT-Lab.
Microsoft Research Blog· microsoft.comOct 30, 2026
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.
Microsoft Research Blog· microsoft.comOct 29, 2026
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.
“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.
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