
Sign up to save your podcasts
Or


Probably not. Kyle asks Gerry Zhang who works at the Berkeley SETI Research Center about this possibility and more importantly, about his applications of deep learning to detect fast radio bursts.
Radio astronomy captures observations from space which can be converted to a waterfall chart or spectrogram. These data structures can be formatted in a visual way and also make great candidates for applying deep learning to the task of detecting the fast radio bursts.
By Kyle Polich4.4
475475 ratings
Probably not. Kyle asks Gerry Zhang who works at the Berkeley SETI Research Center about this possibility and more importantly, about his applications of deep learning to detect fast radio bursts.
Radio astronomy captures observations from space which can be converted to a waterfall chart or spectrogram. These data structures can be formatted in a visual way and also make great candidates for applying deep learning to the task of detecting the fast radio bursts.

32,246 Listeners

30,609 Listeners

288 Listeners

1,105 Listeners

626 Listeners

583 Listeners

306 Listeners

343 Listeners

212 Listeners

203 Listeners

313 Listeners

101 Listeners

551 Listeners

101 Listeners

228 Listeners