Early and accurate cancer diagnosis combined with robust survival risk prognostication remains the paramount determinant of therapeutic success in precision oncology. While routine clinical workflows evaluate hematoxylin and eosin (H&E) stained gigapixel Whole Slide Images (WSI) for morphological staging and transcript...
Kartik Kothalkar· Zenodo (CERN European Organi...· 0 citations
Large Language Models (LLMs) and other generative forms of artificial intelligence are rapidly moving into enterprise environments. Challenges surround ensuring the security of such models, managing risks associated with their use, ensuring that all use meets organizational and external compliance requirements, and ens...
Kishan Raj Bellala· International Journal of Sci...· 0 citations
Human-centric identity systems deployed in real-world environments continuously encounter non-stationary conditions, such as changing illumination, background noise, device transitions, and physiological aging. These environmental and temporal variations introduce distribution shift, degrading system performance, eleva...
Moien Shaik· Zenodo (CERN European Organi...· 0 citations
Human-centric identity systems deployed in real-world environments continuously encounter non-stationary conditions, such as changing illumination, background noise, device transitions, and physiological aging. These environmental and temporal variations introduce distribution shift, degrading system performance, eleva...
Moien Shaik· Zenodo (CERN European Organi...· 0 citations
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Saliency maps are widely used to explain deep learning predictions in medical imaging, yet visually plausible explanations do not necessarily reflect a model's true decision process and may therefore mislead clinicians. We investigate this problem using a Vision Transformer-based breast MRI classifier trained on the OD...
Peachapong Poolpol, Henrik H. J. Detjen, Eike Petersen· 0 citations
Explanations are central to causal reasoning, and cognitive science has long established that the human drive to explain is itself a mechanism for learning about causality. Despite this, learning from those abductive signals is largely ignored in artificial intelligence. While explainable AI (XAI) increasingly draws on...
Nicholas Tagliapietra, Florian Peter Busch, Moritz Willig et al.· 0 citations
Chain-of-thought (CoT) monitoring is only meaningful if written reasoning causally constrains the answer. We introduce continuation-based causal testing, an ablation-patch intervention that perturbs one reasoning step, truncates the chain, and forces the model to continue from the corrupted prefix. It measures how load...
An AI-Augmented Active Aging Framework that explains how conversational AI affordances, responsiveness, personalization, accessibility, and availability, interact with personal, social, environmental, and system-level conversion factors and argues that the primary value of conversational AI lies not in its ability to s...
Chong-Tang Zhou, Hong-Yu Wu, Gao-Hang Li et al.· Frontiers in Psychology· 0 citations
Purpose: This study validated and refined a context-specific framework explaining meaningful use behavior of PictureThis artificial intelligence (AI) for plant identification among undergraduate students in Ugandan public universities. Unlike an earlier analysis of predictors of behavioral intention from the same docto...
John Bukenya, Paul Birevu Muyinda, Ghislain Maurice Nobert Isabwe et al.· American Journal of Educatio...· 0 citations
INTRODUCTION: Due to the development of the Industrial Internet of Things (IIoT), it has been possible to make the predictive maintenance of the manufacturing industry using data. Nevertheless, recent developments in manufacturing systems are prone to higher levels of disruptions caused by sensor degradation, data anom...
Yi-Ting Bai· ICST Transactions on Scalabl...· 0 citations
This study develops a comprehensive understanding of AI leadership by examining how traditional leadership theories and psychological constructs explain effective leadership behaviors in AI-intensive organizational contexts by synthesizing theories from leadership studies, cognitive psychology, organizational behavior,...
D. Upadhyay· Leadership & Organizatio...· 0 citations
Biostatistics literacy is essential for evidence-based medicine, yet no instrument specifically measures this competency in medical students. This study aimed to develop a measure of self-perceived biostatistics literacy and conduct an initial psychometric evaluation in samples comprising predominantly early-stag...
N. M. Konar, Aslı Suner, D. Özyürek et al.· BMC Medical Education· 0 citations
Professor Ali Jadbabaie describes how AI, digital transformation, climate change, and complex geopolitics are forcing engineers and policymakers to rethink how infrastructure is designed, built, and managed.
MIT News · Artificial Intelligence· news.mit.eduOct 27, 2026
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
In Compton Lecture, the distinguished legal scholar warns of potential “loss of the Enlightenment” while suggesting ways innovations can meet our civic and cultural needs.
