Methodologically, it advances BIM-enabled resilience intelligence by integrating causal reasoning, multiplex graph learning, Bayesian uncertainty quantification and XAI within a unified framework for proactive disaster-resilient infrastructure governance and decision support.
S. Admane, Tejas Admane, Vivek Mohite et al.· International Journal of Dis...· 0 citations
The effectiveness of immune checkpoint inhibitors (ICIs) heavily depends on the complex spatial interactions of cells within the tumor microenvironment (TME). However, existing predictive biomarkers generally lack spatial resolution and interpretability, making it difficult to guide clinical decisions or reveal actiona...
Gang Liu, Jia Wang, Jia Zhu· Intelligent & Human Futu...· 4 citations
It is argued for shifting the field's focus from methods to models, along two complementary lines: existing tools let us characterize and compare what different models represent and compute, and whether a model can actually be understood by the humans who rely on it.
Julien Colin, Nuria Oliver, Thomas Serre· 0 citations
Scholarly knowledge is typically encountered in stabilized form, while the process histories through which research objects, claims, and contributions acquire form remain largely hidden. This study examines how human-AI scholarly collaboration develops under matched starting conditions and whether those conditions stab...
Mehmed Zahid \c{C}\"ogenli· 0 citations
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This work finds that reasoning operations are separable in held-out representations, with separability peaking in middle layers, and verify that this structure is not explained by lexical or positional confounds.
Seogyeong Jeong, Jaehui Hwang, Dongyoon Han et al.· 0 citations
A unified learning paradigm is proposed that jointly optimizes predictive performance and modality-specific explainability by identifying the most informative elements inside each modality that contribute to diagnostic decisions by employing a matrix-based Renyi's $\alpha$-order entropy functional under the assumption...
Yu-Qing Yang, Alexander Schmatz, Zhao-Zhao Ma et al.· 0 citations
Delayed closure is developed as a practice of keeping recognized interpretations revisable and five public requirements concerning materials and versions, evidential roles, failure, contract revision, and responsibility are proposed.
The divergence between algorithmic and radiologist agreement demonstrates that benchmark performance against NLP-derived labels is insufficient, highlighting the need for radiologist-labeled ground truth before clinical deployment.
Zinah Ghulam, Richa Mittal, E. Ukwatta· 0 citations
The resulting framework explains both the appeal and the limits of compressionist accounts of understanding while shedding light on the inscrutability of AI systems.
It is proved in this paper that several classes of abductive explanations, remain hard to compute even for Ordered Binary Decision Diagrams, one of the most tractable subsets of the knowledge compilation map.
Arthur Ledaguenel, Florent Capelli, Jean-Marie Lagniez· 0 citations
This paper introduces the Corporate Language Model (CLM), a framework transforming a firm's structured, unstructured, multimodal, and tacit knowledge into an ontology-grounded enterprise foundation upon which reasoning and governed execution are composed.
This narrative review synthesizes recent advances across radiography, computed tomography (CT), and magnetic resonance imaging (MRI), focusing on AI-driven methods for automatic extraction of bone quality markers.
Katharina Ziegeler, S. Majumdar· Calcified Tissue Internation...· 0 citations
Research Manager Mike Walker reflects on a career spanning hacker culture, cybersecurity, and AI, sharing lessons about trust, teamwork, leadership, and why solving difficult problems requires curiosity, judgment, agility—and an understanding of the rules. The post Learn the rules: The hacker mindset appeared first on Microsoft Research.
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.
MIT News · Artificial Intelligence· news.mit.eduNov 2, 2026
The MIT professors collaborated to identify the first AI-discovered antibiotic, a scientific breakthrough that is widely recognized as a milestone in AI-driven drug discovery.
MIT News · Artificial Intelligence· news.mit.eduOct 30, 2026
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.
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