In the first millionths of a second after the Big Bang, the universe was a roiling, trillion-degree plasma of quarks and gluons—elementary particles that briefly glommed together in countless combinations before cooling ...
Plasma Physics
Jan 21, 2022
8
3148
Fujitsu Laboratories today announced that it has developed deep learning technology that can analyze time-series data with a high degree of accuracy. Demonstrating promise for Internet-of-Things applications, time-series ...
Computer Sciences
Feb 16, 2016
0
80
Rice University scientists are using machine-learning techniques to streamline the process of synthesizing graphene from waste through flash Joule heating.
Nanomaterials
Jan 31, 2022
0
133
Scientists made headlines last week for supposedly generating a wormhole. The research, reported in Nature, involves the use of a quantum computer to simulate a wormhole in a simplified model of physics.
Quantum Physics
Dec 12, 2022
1
33
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
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
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
Learning a subject well means moving beyond the recitation of facts to a deeper knowledge that can be applied to new problems. Designing computers that can transcend rote calculations to more nuanced understanding has challenged ...
Computer Sciences
Jul 17, 2013
5
0
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
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
