A cloud-based, explainable framework that integrates big-data processing of Sentinel-1 Synthetic Aperture Radar on Google Earth Engine with tree-based bagging and boosting ensembles in the Takkalasi watershed, Indonesia provides a reproducible and transferable basis for ecosystem-based flood adaptation in data-scarce t...
Muhammad Yusuf Fadhel Marwiji, A. S. Soma, Samsu Arif· Remote Sensing in Earth Syst...· 0 citations
This work proposes Ontology-Masked Reasoning Autoencoding (OMRA), a controlled intervention that masks and reconstructs over-explained spans while preserving stance, factual content, and coherence and reduces the measured gap between AI preference and real user engagement.
Xing-Lang Zhang, Yuan-Meng Xiang, Yun-Yao Zhang et al.· 0 citations
Artificial intelligence (AI) is increasingly transforming cancer management by enabling the analysis of complex multimodal data generated across the cancer care continuum. This structured narrative review synthesizes current applications of AI, machine learning, and deep learning in cancer detection, imaging diagnosis,...
Eva Rahman Kabir, N. Mustafa, Zara Sheikh et al.· Discover Applied Sciences· 0 citations
AI governance frameworks address well-documented risks through controls on data, models, and post-deployment performance. This paper identifies a distinct, under-governed lifecycle risk arising not from model error or degradation, but from interaction itself. Termed Interaction-Induced Knowledge Narrowing (IIKN), this...
D. Rutherford, Ning-Ning Wu· Discover Artificial Intellig...· 0 citations
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This review examines how smooth muscle cell (SMC) fate transitions contribute to the central paradox of atherosclerosis: why thin-cap plaques that only mildly narrow the lumen cause most acute events, whereas many severely stenotic lesions remain stable. We propose that interactions between SMC developmental programmin...
Pei-Yu Chen, M. Simons· Current Atherosclerosis Repo...· 0 citations
Reproducibility package accompanying the manuscript “Testing scalar–tensor dark energy with gravitational-wave propagation: reconstruction and calibration limits,” by Nikhil Goenka. This record contains the scientific software, synthetic inputs, and numerical results supporting the manuscript. The study examines when e...
Nikhil Goenka· Zenodo (CERN European Organi...· 0 citations
ABSTRACT Artificial intelligence (AI) has been progressively incorporated into clinical laboratories as a tool to support data processing, result interpretation, and diagnostic decision-making. However, the use of complex models has raised concerns regarding transparency, interpretability, and the ability to supervise...
M. V. F. Blacio, Noemí Elizabeth Aroca Rivera, Jeniffer Paola Tonato Alava et al.· VitalyScience Revista Cientí...· 0 citations
Description The preceding papers in this series argued that explainability cannot ground accountability in probabilistic AI systems, that hallucination is the expected epistemic consequence of forced answer generation, and that accountable AI therefore requires a formal system language of non-decision, decision boundar...
Thomas Gessler· Zenodo (CERN European Organi...· 0 citations
Integrating artificial intelligence (AI) into financial institutions requires more than deploying technical solutions. It requires data management capabilities (DMCs) aligned with regulatory constraints and strategic priorities. This clinical study investigates how a German bank evolved from fragmented, Excel-based pro...
N. Baum, Lea Mueller-Fortmann, Alexander Benlian· European Journal of Informat...· 0 citations
The emergence of Knowledge 5.0 represents a fundamental shift in how organizations combine Artificial Intelligence (AI) and human expertise in Strategic Decision-Making. Rooted in Industry 5.0, Knowledge 5.0 emphasizes human-centric collaboration, collective intelligence, and the co-creation of strategic knowledge thro...
Scientific knowledge is mostly stored in static papers. An automated framework called Paper2Agent can now transform each paper into an active artificial intelligence agent — a virtual corresponding author that answers questions, applies the paper’s methods to new data, and collaborates with other paper agents. This mak...
A Guide to the Logic Series Papers This guide organizes the logic series papers into four parts by time and theme: the discovery process (before 9/1) → after the three dimensions were determined → the theoretical cornerstones → applications. I. Pre-9/1 Versions — The Discovery Process, as Recorded Positioning: These re...
kaifa chen· Zenodo (CERN European Organi...· 0 citations
MIT professors Adam Berinsky and Chara Podimata discuss a new project to track how AI chatbots are responding to questions about the 2026 U.S. midterm elections.
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.
Critical flaws, compromised release channels and agentic AI threats landed within days of each other in mid-October 2026. Why “Black October” may say more about how well we now find weaknesses than about the attacks themselves. The post Black October? The Week AI Changed the Cybersecurity Conversation appeared first on GPT-Lab.
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.
