A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

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

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

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 ...

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 ...

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

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

A marriage of formal methods and LLMs seeks to harness the strengths of both.

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 ...