Using the same tools we use for voice detection, scientists are uncovering tiny earthquakes hidden in the data. From The Verge: Oklahoma never used to be known for its earthquakes. Before 2009, the state had roughly two quakes of magnitude three and above each year. In 2015, this tally rocketed to more than 900, though it's calmed since, falling to 304 last year. This sudden increase is thought to be caused by the disposal of wastewater by the state's booming fracking industry, and it's caught seismologists off-guard. As a historically quake-free area, Oklahoma doesn't have enough equipment to detect and locate all of these quakes, making it hard to investigate their root cause. The solution proposed by Perol and his colleagues from Harvard University's engineering and earth sciences departments is to use artificial intelligence to amplify the sensitivity of the state's earthquake detectors, otherwise known as seismographs. In a paper published today in the journal Science Advances, they show how effective this technique is -- capable of detecting 17 times more earthquakes than older methods in a fraction of the time. The method is similar to the voice detection software used by digital assistants like Alexa and Siri.