A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Regression doesn't just impact individual players. It can affect the entire league. Welcome to Regression Alert, your weekly ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Explore the strategic technology trends that will shape 2026, from AI supercomputing platforms to AI-native development, and ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

LEOMs like open-source Clay automate detailed Earth mapping, enabling rapid analysis for research, government, business.

Objectives To estimate the association between maternal perinatal mood and anxiety disorder (PMAD) symptoms and infant health ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Researchers at National University of Singapore used multiple interpretable machine learning methods to predict traffic congestion in in Alameda ...

The fashion industry has problems with textile waste and mislabeling. AI tools from Refiberd and HKRITA offer help with sustainable garment recycling.