With a growing wealth of seismic data and computing power at their disposal, seismologists are increasingly turning to a discipline called machine learning to better understand and predict complicated patterns in earthquake activity.
articles
Attacking ‘Invisible Threat’ that Affects Cancer Care Workers
Chemotherapy drugs are lifesaving to cancer patients, but these toxic drugs are hazardous to the health care workers who come into contact with them.
A Clearer View of past Climate from Tree Rings
To see where the Earth’s climate is headed, we have to see where it’s been — and a new San Francisco State University study could offer a clearer picture.
New Research from the Arctic: Thawing Permafrost Peatlands May Add to Atmospheric CO2 Burden
Temperatures in the Arctic are rising twice as fast as in the rest of the world, causing permafrost soils to thaw.
Koala-Spotting Drones Proves a Flying Success
QUT researchers have developed an innovative method for detecting koala populations using drones and infrared imaging that is more reliable and less invasive than traditional animal population monitoring techniques.
Supercomputer Enables Sound Prediction Model for Controlling Noise
Noise-cancelling headphones have become a popular accessory for frequent flyers.