Combining traditional human-curated syntheses of scientific research with the search and visualization tools of artificial intelligence could guide researchers through avalanches of publications.
machine learning & AI
Posted inResearch Spotlights
Better Bottom-Up Estimates of Wetland Methane Emissions
Limited monitoring of methane emissions from tropical wetlands could be obscuring these environments’ role in climate change.
Posted inOpinions
AI Could Reshape Climate Communication
If we can overcome its pitfalls, AI holds promise for improving trust in climate science and activating a largely disengaged public, with meaningful consequences for health and well-being globally.
Posted inNews
Établir une carte d’identité du bois pour freiner la déforestation illégale
Des chercheurs ont créé un nouvel outil d’analyse pour améliorer la traçabilité du bois qui pourrait permettre d’appliquer la législation de l’Union européenne visant à lutter contre la déforestation.
Posted inNews
Global Earthquake Analysis Seeks Elusive Foreshock Signal
Spotting foreshocks for what they are could help seismologists forecast large earthquakes.
Posted inResearch Spotlights
Decrypting Lunar Craters Quickly and Easily
Machine learning can reveal the stories written in the marks on the Moon.
Posted inNews
Fingerprinting Wood to Curb Illegal Deforestation
Researchers developed a new forensic tool for tracing the origins of timber that could enable enforcement of antideforestation legislation in the European Union.
Posted inNews
Where Does Fire Retardant Fall in a Forest? Ask a Satellite
Knowing where fire retardant lands once it’s dropped from a plane is hard to pin down. A new remote sensing approach offers clues.
Posted inResearch Spotlights
Mapping Beaver Dams with Machine Learning
A new model deploys a neural network to spot beavers’ engineering exploits in aerial and satellite imagery, an approach that should aid studies of ecosystem and landscape change.
Posted inEditors' Highlights
Machine Learning Helps Constrain the Thickness of Ancient Crust
A machine learning model trained using data on the chemical composition of magmatic rocks yields comparable, if not better, results to previously developed geochemical proxies.