A common problem in the geosciences is the need to deduce unseen physical structure based on limited observations. For instance, a ground-penetrating radar observation attempts to infer underground structure without any in ...
Earth Sciences
Apr 1, 2022
0
153
Making use of the LAMOST spectra data as the training sample, a research team led by Dr. Wang Shoucheng and Prof. Ma Jun from National Astronomical Observatories of Chinese Academy of Sciences (NAOC) proposed a new method ...
Astronomy
Mar 22, 2022
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37
The visual and tactile examination of plant leaves is a standard method for identifying disease in crops and horticultural products. However, such an approach can be highly subjective and is dependent on the skills of the ...
Biotechnology
Mar 4, 2022
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5
Understanding when and why a cell dies is fundamental to the study of human development, disease and aging. For neurodegenerative diseases such as Lou Gehrig's disease, Alzheimer's and Parkinson's, identifying dead and dying ...
Biotechnology
Feb 2, 2022
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28
According to a 2009 study, U.S. adults look at weather forecasts nearly 300 billion times a year. Reliable forecasts can predict hazardous weather―such as blizzards, hurricanes, and flash floods―as early as 9–10 days ...
Environment
Jan 6, 2022
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59
A machine-learning approach developed for sparse data reliably predicts fault slip in laboratory earthquakes and could be key to predicting fault slip and potentially earthquakes in the field. The research by a Los Alamos ...
Earth Sciences
Dec 17, 2021
0
84
In a new publication from Opto-Electronic Advances the research group of Professor Xiaoyong Hu and Professor Qihuang Gong from School of Physics, Peking University, China, propose a new strategy to realize ultrafast and ultralow-energy-consumption ...
Quantum Physics
Nov 30, 2021
0
84
In the future, smartphones, which almost everyone has, and smart speakers, 3.7 million installed in Japanese households, might save your life. Apart from daily-use features, these devices can read emergency messages aloud ...
General Physics
Nov 18, 2021
0
12
Convolutional neural networks running on quantum computers have generated significant buzz for their potential to analyze quantum data better than classical computers can. While a fundamental solvability problem known as ...
General Physics
Oct 18, 2021
1
3135
Two Skoltech researchers have presented a highly efficient neural network model that uses data on the structure of proteins to predict which of their parts interact with other biological molecules called peptides. Knowing ...
Biochemistry
Aug 9, 2021
0
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