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 ...

Abstract: Machine learning has been successfully applied to drug combination prediction in recent years. However, in some situations, the class imbalance problem still shows highly negative impacts on ...

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 ...

Would you ever kick your Roomba? Or leave a scathing review of the robot at a Thai restaurant who delivered your green curry? What about sending a mean message to ChatGPT?

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 ...

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.