When pondering the probability of discovering technologically advanced extraterrestrial life, the question that often arises is, "if they're out there, why haven't we found them yet?" And often, the response is that we have ...
Astronomy
Jan 30, 2023
0
144
Computational imaging techniques are growing more popular, but the large number of measurements they require often lead to slow speeds or damage to biological samples. A newly developed physics-informed variational autoencoder ...
Optics & Photonics
Jul 25, 2023
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36
Thousands of years ago, archaic humans such as Neanderthals and Denisovans went extinct. But before that, they interbred with the ancestors of present-day humans, who still to this day carry genetic mutations from the extinct ...
Evolution
Jun 17, 2021
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18
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
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234
In a world-first, a team of Griffith University researchers has used an artificial intelligence method to better predict RNA secondary structures, with the hope it can be developed into a tool to better understand how RNAs ...
Biotechnology
Nov 27, 2019
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65
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
Creating geological maps of planetary surfaces such as those on Mars is a complex process. From data collection and analysis to publication in different formats, the production of maps is based on a time-consuming, multi-step ...
Planetary Sciences
Jan 10, 2023
0
53
X-ray diffraction (XRD) is an experimental technique to discern the atomic structure of a material by irradiating it with X-rays at different angles. Essentially, the intensity of the reflected X-rays becomes high at specific ...
Analytical Chemistry
Dec 22, 2022
0
2
Researchers have developed a new end-to-end neural network that can speed up the reconstruction of holographic images. Unlike other deep learning techniques, the approach can be used on samples not encountered during training, ...
Optics & Photonics
Sep 22, 2022
0
19
Floating sea macro-litter is a threat to the conservation of marine ecosystems worldwide. The largest density of floating litter is in the great ocean gyres —systems of circular currents that spin and catch litter—but ...
Environment
Feb 4, 2021
1
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