Deep neural network to find hidden turbulent motion on the sun

Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the sun. Tests on three different sets of simulation data showed that it is possible to infer ...

Comparing machine learning models for earthquake detection

Machine learning is transforming data-heavy fields across the sciences, and seismology is no exception. Several machine learning methods have emerged for earthquake detection, phase identification, and phase picking. However, ...

Social media echo chambers spread vaccine misinformation: study

WHO has named vaccine hesitancy one of the greatest threats to global health. Nonetheless, some people are hesitant or refuse to get vaccinated because they do not trust vaccines and health authorities. A new research result ...

Researcher develops Google for archaeologists

An incredible quantity of archaeological reports are stored in digital archives. If you want to search for information in them, you have to do this manually. And that is a real chore. Archaeologist Alex Brandsen has now used ...

Artificial intelligence learns to predict solar flux

Researchers from the Department of Computer Systems Engineering at Universidad Politécnica de Madrid,in collaboration with the University of Strathclyde (UK), used a deep learning approach that had previously shown promising ...

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