There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.

ABSTRACT: With the in-depth digital transformation of the global shipping industry, the accurate prediction of smart port operation efficiency has become a key factor in enhancing the competitiveness ...

In a new comparative analysis of artificial intelligence applications in retail, researchers have revealed that advanced deep learning models can dramatically enhance the accuracy of demand ...

This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...

Discover a smarter way to grow with Learn with Jay, your trusted source for mastering valuable skills and unlocking your full potential. Whether you're aiming to advance your career, build better ...

Abstract: The study presents a price prediction of stock framework utilizing machine learning, specifically focusing on (Long Short-Term Memory) as the primary technique. LSTM is highlighted for its ...

Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline and structural brain alterations such as cortical atrophy and hippocampal degeneration. Early ...

College of Engineering and IT, University of Dubai, Dubai, United Arab Emirates Climate change has significantly impacted vulnerable communities globally, with rising temperatures caused by greenhouse ...

Open Molecules 2025, an unprecedented dataset of molecular simulations, has been released to the scientific community, paving the way for the development of machine learning tools that can accurately ...

A new spinoff company is about to launch a computer model that aims to accelerate process development by speeding up the optimization of cell culture media. AuctuCel, which plans to open for business ...