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

Animals, you’re likely the kind of person whose YouTube algorithm loads you up on animal videos: cute, amazing, mind-blowing ...

By Rhett Ayers Butler [( 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 ...

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 ...

Abstract: This study uses an AI-enhanced cybersecurity events dataset to utilize the effectiveness of leveraging machine learning algorithms Logistic Regression, Decision Tree, and Random Forest for ...

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

Optokinetic Nystagmus (OKN) is a natural reflexive eye movement in oculomotor studies, reflecting the health status of the visual system. Through accurate eye center annotation, physicians can observe ...

AI-powered spectral sensor performs machine learning during light capture, identifying materials and chemicals in real time ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

One thing to emerge from OpenClaw is Moltbook, a social network where AI agents post, comment and share information autonomously ...