Testing a machine learning approach to geophysical inversion

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 ...

The AI forecaster: Machine learning takes on weather prediction

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 ...

Using sparse data to predict lab quakes

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 ...

All-optical computing based on convolutional neural networks

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 ...

Estimating the quality of sound spaces from observed speech

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 ...

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