David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Yet one major bottleneck remains: obtaining timely cardiac imaging information that can help guide management decisions. A ...

Abstract: We propose a supervised learning model that enables error backpropagation for spiking neural network hardware. The method is modeled by modifying an ...

Regardless of where you are, summer is a reminder that emergencies like cardiac arrest can happen anywhere. Take the safety ...

Visakhapatnam: As part of the coveted STEP-UP (Students Empowerment Programme – Upgradation Through Functional Literacy for ...

The goal is not to import “fail fast” wholesale into medicine. Nor is it to preserve a system so risk-averse that it limits ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Deep learning (DL)-based fully supervised approaches have demonstrated remarkable performance in sea ice classification, showcasing their potential for highly accurate results. However, ...

Retrieval-Augmented Generation (RAG) models often suffer from reward sparsity and inefficient credit assignment when optimized with traditional outcome-based Reinforcement Learning (RL).

It remains poorly understood how different cells in a tissue organize and coordinate with each other to support tissue functions. To better understand the structure-function relationship of a tissue, ...

Neurodegenerative diseases such as Alzheimer's disease (AD) or frontotemporal lobar degeneration (FTLD) involve specific loss of brain volume, detectable in vivo using T1-weighted MRI scans.