Life, from the perspective of thermodynamics, is a system out of equilibrium, resisting tendencies towards increasing their levels of disorder. In such a state, the dynamics are irreversible over time. This link between the ...
Mathematics
Jul 5, 2023
0
25
Can a computer learn from the past and anticipate what will happen next, like a human? You might not be surprised to hear that some cutting-edge AI models could achieve this feat, but what about a computer that looks a little ...
Quantum Physics
May 26, 2023
6
164
To study ocean currents, scientists release GPS-tagged buoys in the ocean and record their velocities to reconstruct the currents that transport them. These buoy data are also used to identify "divergences," which are areas ...
Earth Sciences
May 17, 2023
0
821
Scientists have known that when a mouse embryo is developing, the cells that will become its spine and muscles switch specific genes on and off repeatedly, in a synchronous fashion. However, there are deep mysteries about ...
Cell & Microbiology
May 2, 2023
0
222
When two black holes merge, they emit gravitational waves that race through space and time at the speed of light. When these reach Earth, large detectors in the United States (LIGO), Italy (Virgo) and Japan (KAGRA) can detect ...
Astronomy
Apr 27, 2023
0
104
Wouldn't finding life on other worlds be easier if we knew exactly where to look? Researchers have limited opportunities to collect samples on Mars or elsewhere or access remote sensing instruments when hunting for life beyond ...
Astrobiology
Mar 6, 2023
0
114
An artificial neural network has taken its first steps toward predicting the timing and size of future destructive earthquakes, according to RIKEN researchers. Their paper is published in the journal Nature Communications.
Earth Sciences
Mar 3, 2023
0
26
Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
Accurately modeling extreme precipitation events remains a major challenge for climate models. These models predict how the earth's climate may change over the course of decades and even centuries. To improve them especially ...
Earth Sciences
Oct 4, 2022
0
39
Wildfires are a growing threat in a world shaped by climate change. Now, researchers at Aalto University have developed a neural network model that can accurately predict the occurrence of fires in peatlands. They used the ...
Earth Sciences
Sep 9, 2022
2
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