An advanced Johns Hopkins AI model called MAARS combs through underused heart MRI scans and complete medical records to spot hidden scar patterns that signal sudden cardiac death, dramatically ...

This paper presents a novel technique of image classification using BOVW model. The entire process first involves feature detection of images using FAST, the choice made in order to speed up the ...

Learn what Large Language Models (LLMs) are and why they’re revolutionizing AI. This beginner-friendly guide breaks down key concepts and real-world uses.

Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...

Multimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients’ risk for sudden cardiac ...

Multimodal AI for ventricular Arrhythmia Risk Stratification (MAARS), predicts individual patients' risk for sudden cardiac ...

Labour is attempting to govern in extraordinarily difficult circumstances. In terms of the geopolitical order, demographics, ...

Image restoration is a critical task in low-level computer vision, aiming to restore high-quality images from degraded inputs. Various models, such as convolutional neural networks (CNNs), generative ...

This paper presents a modified ADM1 (mADM1) model for use in assessing the influence of active dissolved H 2 extraction on biogas production from anaerobic fermentation reactors, specifically in the ...

SEATTLE, June 11, 2025 /PRNewswire/ -- Kinetic West, a social impact consulting firm, has officially transitioned to a shared ownership model—bringing six employees into equal partnership ...

An easy-to-use model Lead author of the study, Juliana Gutschow Gameiro, a former Ph.D. student visiting GSBS, came to Tufts from the State University of Londrina, Parana, in Brazil. Lin says she ...

by Jacob Oliver Publication date 2024 Usage Attribution-NonCommercial-NoDerivs 4.0 International Topics judgment, common sense, trust, aesthetics, literary theory and practice, trust, common sense, ...