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 ...

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 ...

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 ...

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 ...