Researchers at UC Santa Cruz have developed a powerful new computer program called Morpheus that can analyze astronomical image data pixel by pixel to identify and classify all of the galaxies and stars in large data sets ...
Astronomy
May 12, 2020
0
400
NASA's new 3-dimensional portrait of methane concentrations shows the world's second largest contributor to greenhouse warming, the diversity of sources on the ground, and the behavior of the gas as it moves through the atmosphere. ...
Environment
Mar 23, 2020
0
143
Pulsars, a type of rotating neutron star, are well-known as incredibly stable astrophysical clocks. Their regularity, used to measure their radio pulses, has led to some of the most exciting tests of Einstein's general theory ...
Astronomy
Mar 19, 2020
1
244
A new machine-learning computer model accurately predicts damaging radiation storms caused by the Van Allen belts two days prior to the storm, the most advanced notice to date, according to a new paper in the journal Space ...
Space Exploration
Mar 2, 2020
0
207
The debate has raged in the world of paleo-climate research for years: When did the land bridge that once connected Asia and North America flood?
Earth Sciences
Feb 27, 2020
1
49
More frequent and intense rainfall events due to climate change could cause more landslides in the High Mountain Asia region of China, Tibet and Nepal, according to the first quantitative study of the link between precipitation ...
Earth Sciences
Feb 11, 2020
2
204
A new MIT study examines the opposing roles of natural gas in the battle against climate change—as a bridge toward a lower-emissions future, but also a contributor to greenhouse gas emissions.
Environment
Dec 16, 2019
20
440
Scientists searching for evidence of new physics in particle processes that could explain dark matter and other mysteries of the universe have moved one step closer, with the new result of the NA62 experiment reported today ...
General Physics
Sep 23, 2019
2
595
A new machine learning technology tested by an international team of scientists including MIT Assistant Professor Philip Harris and postdoc Dylan Rankin, both of the Laboratory for Nuclear Science, can spot specific particle ...
General Physics
Aug 20, 2019
0
279
Machine learning algorithms can sometimes do a better job with a little help from human expertise, at least in the field of materials science.
Materials Science
Aug 16, 2019
0
94
