QXO: The Technology Playbook Behind Next Distribution Giant

Discover how QXO, Inc. drives growth in building-products distribution with digital transformation and smart acquisitions.
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

A New Distribution Line Parameter Correction Model Using Field Recloser Data

Abstract: This letter develops a new parameter correction method for realistic distribution systems using available supervisory control and data acquisition (SCADA) data from reclosers without voltage ...
IEEE

Propagating Sparse Depth via Depth Foundation Model for Out-of-Distribution Depth Completion

Abstract: Depth completion is a pivotal challenge in computer vision, aiming at reconstructing the dense depth map from a sparse one, typically with a paired RGB image. Existing learning-based models ...
GitHub

Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection

Official implementation of the paper Leveraging Latent Diffusion Models for Training-Free In-Distribution Data Augmentation for Surface Defect Detection accepted at the 21st International Conference ...
24/7 Wall St.

AI Ran 10,000 Simulations: Here’s XRP’s Most Likely Price on December 31, 2026

AI ran 10,000 XRP price simulations for 2026. Base range: $1.04-$3.40 (60% probability). Best case: $6+. Worst case: below $0 ...

2026 S&P 500 Outlook: A History-Based Forecast With A 12% Expected Gain

Explore a probability-based forecast for the S&P 500 in 2026, highlighting risks, upside potential, and key tech sector influences.

Tail Risk Explained: Managing Rare Events Leading to Portfolio Losses

Discover how tail risk impacts portfolios, why rare financial events matter, and strategies for safeguarding investments against significant, unexpected losses.