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Machine learning model generates realistic seismic waveforms

#artificialintelligence

LOS ALAMOS, N.M., April 22, 2021--A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently in JGR Solid Earth. "To verify the efficacy of our generative model, we applied it to seismic field data collected in Oklahoma," said Youzuo Lin, a computational scientist in Los Alamos National Laboratory's Geophysics group and principal investigator of the project. "Through a sequence of qualitative and quantitative tests and benchmarks, we saw that our model can generate high-quality synthetic waveforms and improve machine learning-based earthquake detection algorithms." Quickly and accurately detecting earthquakes can be a challenging task. Visual detection done by people has long been considered the gold standard, but requires intensive manual labor that scales poorly to large data sets.


Machine learning model generates realistic seismic waveforms

#artificialintelligence

LOS ALAMOS, N.M., April 22, 2021--A new machine-learning model that generates realistic seismic waveforms will reduce manual labor and improve earthquake detection, according to a study published recently in JGR Solid Earth. "To verify the e?cacy of our generative model, we applied it to seismic?eld data collected in Oklahoma," said Youzuo Lin, a computational scientist in Los Alamos National Laboratory's Geophysics group and principal investigator of the project. "Through a sequence of qualitative and quantitative tests and benchmarks, we saw that our model can generate high-quality synthetic waveforms and improve machine learning-based earthquake detection algorithms." Quickly and accurately detecting earthquakes can be a challenging task. Visual detection done by people has long been considered the gold standard, but requires intensive manual labor that scales poorly to large data sets.


Which Machine Learning Algorithm should be used to predict Waveforms from an already existing collection of waveforms ?

#artificialintelligence

I am new to machine learning and I was wondering what algorithm to use to predict waveforms from an already existing waveform data samples. I have the x coordinates and Y coordinates or (waveforms) for a few set of features for the different set of values. I want to be able to predict further waveforms for more values using this as training data. Which type of Machine Learning Algorithm should be used in such cases?


The US Army is developing encrypted radar that 'looks like noise'

Daily Mail - Science & tech

A new secure waveform developed by the US Army can change continually, masking its identity to allow military and police officials to become entirely anonymous to radar detectors. The encrypted system allows radar transmissions to look like noise, making it difficult to intercept and exploit. Researchers say this design aims to meet the challenges of the evolving battlefield, and is programmable in real-time to optimize performance. A new secure waveform developed by the US Army can change continually, masking its identity to allow military and police officials to become entirely anonymous to radar detectors. The US Army is developing a noise-encrypted radar waveform called Advanced Pulse Compression Noise, or APCN.


Artist's hyper realistic drawings will bend your brain

Mashable

Artist Howard Lee has an amazing talent for creating extremely realistic drawings, often of different foods. Lee posts videos to his Instagram, where he shows which items are real and which are his works of art. A knife is often his tool of choice when it comes to the main reveal. "You start with a few sketchy lines and then everything after that is a'spot the difference,'" Lee told Mashable in an email. "You compare the differences and correct them.