Detecting Fast Radio Bursts with Deep Learning
Data Skeptic2 Nov 2018

Detecting Fast Radio Bursts with Deep Learning

Fast radio bursts are an astrophysical phenomenon first observed in 2007. While many observations have been made, science has yet to explain the mechanism for these events. This has led some to ask: could it be a form of extra-terrestrial communication?

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.

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(601)

Auditing LLMs and Twitter

Auditing LLMs and Twitter

Our guests, Erwan Le Merrer and Gilles Tredan, are long-time collaborators in graph theory and distributed systems. They share their expertise on applying graph-based approaches to understanding both ...

29 Jan 202540min

Fraud Detection with Graphs

Fraud Detection with Graphs

In this episode, Šimon Mandlík, a PhD candidate at the Czech Technical University will talk with us about leveraging machine learning and graph-based techniques for cybersecurity applications. We'll l...

22 Jan 202537min

Optimizing Supply Chains with GNN

Optimizing Supply Chains with GNN

Thibaut Vidal, a professor at Polytechnique Montreal, specializes in leveraging advanced algorithms and machine learning to optimize supply chain operations. In this episode, listeners will learn how ...

15 Jan 202538min

The Mystery Behind Large Graphs

The Mystery Behind Large Graphs

Our guest in this episode is David Tench, a Grace Hopper postdoctoral fellow at Lawrence Berkeley National Labs, who specializes in scalable graph algorithms and compression techniques to tackle massi...

10 Jan 202547min

Customizing a Graph Solution

Customizing a Graph Solution

In this episode, Dave Bechberger, principal Graph Architect at AWS and author of "Graph Databases in Action", brings deep insights into the field of graph databases and their applications. Together w...

16 Des 202438min

Graph Transformations

Graph Transformations

In this episode, Adam Machowczyk, a PhD student at the University of Leicester, specializes in graph rewriting and its intersection with machine learning, particularly Graph Neural Networks. Adam expl...

9 Des 202432min

Networks for AB Testing

Networks for AB Testing

In this episode, the data scientist Wentao Su shares his experience in AB testing on social media platforms like LinkedIn and TikTok. We talk about how network science can enhance AB testing by accoun...

25 Nov 202436min

Lessons from eGamer Networks

Lessons from eGamer Networks

Alex Bisberg, a PhD candidate at the University of Southern California, specializes in network science and game analytics, with a focus on understanding social and competitive success in multiplayer o...

18 Nov 202437min

Populært innen Vitenskap

fastlegen
tingenes-tilstand
jss
forskningno
rss-zahid-ali-hjelper-deg
rekommandert
rss-paradigmepodden
sinnsyn
liberal-halvtime
vett-og-vitenskap-med-gaute-einevoll
rss-overskuddsliv
kvinnehelsepodden
nordnorsk-historie
tidlose-historier
villmarksliv
grunnstoffene
rss-inn-til-kjernen-med-sunniva-rose
nevropodden
noen-har-snakket-sammen
fjellsportpodden