Published in Microplastics, the study titled “Canonical Spectral Transformation for Raman Spectra Enables High Accuracy AI Identification of Marine Microplastics” introduces a novel data processing ...

Somewhere in the sun-scorched grasslands of Venezuela, a green-rumped parrotlet lands at the entrance of a wooden nest box ...

Objectives Artificial intelligence (AI)-driven chatbots have been rapidly adopted across research, education, business, ...

In her new book, floral designer and writer Christin Geall takes us on a global tour, discussing the culture of flowers with ...

Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

Explore how AI in high-throughput screening improves drug discovery through advanced data analysis, hit identification and ...

The vast majority of forest restorations contain just one tree species—leaving them vulnerable to pests like the emerald ash ...

This important study advances a new computational approach to measure and visualize gene expression specificity across different tissues and cell types. The framework is potentially helpful for ...

At first glance, the world of ants may seem far removed from our everyday lives. Yet, on closer inspection, they often face ...

In the early 1800s it was a common saying that, because of the heavily wooded forests, a squirrel could go from the Mississippi River to the Atlantic Ocean without ever touching the ground.