Geoscientists at Sandia National Laboratories used 3D-printed rocks and an advanced, large-scale computer model of past earthquakes to understand and prevent earthquakes triggered by energy exploration.
Earth Sciences
Mar 10, 2021
0
234
Machine-learning techniques, best known for teaching self-driving cars to stop at red lights, may soon help researchers around the world improve their control over the most complicated reaction known to science: nuclear fusion.
General Physics
Oct 12, 2020
0
74
Superhard materials can slice, drill and polish other objects. They also hold potential for creating scratch-resistant coatings that could help keep expensive equipment safe from damage.
Materials Science
Sep 9, 2019
0
1015
New methods of counting wildlife could provide conservationists with fast and accurate methods for estimating the abundance of natural populations.
Plants & Animals
Mar 6, 2019
0
5
New work leveraging machine learning could increase the efficiency of optical telecommunications networks. As our world becomes increasingly interconnected, fiber optic cables offer the ability to transmit more data over ...
Computer Sciences
Feb 25, 2019
0
24
Researchers of Valencia University (UV) have developed the first global maps of phosphorus and nitrogen content in vegetation, as well as efficiency in water use, via artificial intelligence and big data techniques. The application ...
Earth Sciences
Feb 7, 2019
0
40
Your credit card company contacts you asking if you've purchased something from a retailer you don't normally patronize or spent more than usual. A human didn't identify the atypical transaction. A computer—equipped with ...
Computer Sciences
Oct 30, 2018
0
9
Producing research outputs that have computational novelty and contributions, as well as biological importance and impacts, is a key motivator for computer scientist Xin Gao. His Group at KAUST has experienced a recent explosion ...
Molecular & Computational biology
Oct 16, 2018
0
4
A major challenge in current climate prediction models is how to accurately represent clouds and their atmospheric heating and moistening. This challenge is behind the wide spread in climate prediction. Yet accurate predictions ...
Earth Sciences
Jun 20, 2018
14
283
As scientific datasets increase in both size and complexity, the ability to label, filter and search this deluge of information has become a laborious, time-consuming and sometimes impossible task, without the help of automated ...
Computer Sciences
Jun 19, 2018
0
55
