Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

A deceptively simple question underlies many global environmental policies: where, exactly, are the world’s forests? A new study suggests the answer depends heavily on which map one consults—and that ...

Research from Nadcab Labs’ 2026 analysis exposes fraud patterns in multi-level marketing crypto schemes, including Ponzi structures ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

In the city where $40 typically disappears faster than subway rats when the lights come on, this sprawling bazaar transforms two Andrew Jacksons into an expedition worthy of a seasoned explorer with a ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A Purdue University digital forestry team has created a computational tool to obtain and analyze urban tree inventories on ...

Urban landscapes could be cooled by up to 3.5 degrees using a QUT-developed AI-based tool that optimizes where trees and which species are planted to make cities cooler, greener and more resilient in ...

An international research team, with significant involvement from the Medical University of Vienna, has developed a new AI-based analysis method that can accurately classify brain tumors using genetic ...