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 ...
Animals, you’re likely the kind of person whose YouTube algorithm loads you up on animal videos: cute, amazing, mind-blowing ...
Mongabay News on MSN
Scientists can’t agree on where the world’s forests are
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 ...
Researchers have shed new light on the features that enable tree-dwelling mammals to move effectively through their ...
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 ...
Morning Overview on MSN
Ghost lineages: The ancient DNA hiding in our genes today?
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 ...
Abstract: Cyclones are devastating natural disasters that significantly affect coastal agricultural systems, particularly coconut plantations. This paper presents a comprehensive, AI-driven framework ...
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 ...
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 ...
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