#107 The Deep Learning Revolution in Space Science episode artwork

EPISODE · Oct 3, 2022 · 53 MIN

#107 The Deep Learning Revolution in Space Science

from DataFramed

We have had many guests on the show to discuss how different industries leverage data science to transform the way they do business, but arguably one of the most important applications of data science is in space research and technology. Justin Fletcher joins the show to talk about how the US Space Force is using deep learning with telescope data to monitor satellites, potentially lethal space debris, and identify and prevent catastrophic collisions. Justin is responsible for artificial intelligence and autonomy technology development within the Space Domain Awareness Delta of the United States Space Force Space Systems Command. With over a decade of experience spanning space domain awareness, high performance computing, and air combat effectiveness, Justin is a recognized leader in defense applications of artificial intelligence and autonomy. In this episode, we talk about how the US Space Force utilizes deep learning, how the US Space Force publishes its research and data to find high-quality peer review, the must-have skills aspiring practitioners need in order to pursue a career in Defense, and much more.

Episode metadata supplied by the publisher feed · Published Oct 3, 2022

Embed this episode

Ready to play

#107 The Deep Learning Revolution in Space Science

0:00 53:56

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of DataFramed?

This episode is 53 minutes long.

When was this DataFramed episode published?

This episode was published on October 3, 2022.

Can I download this DataFramed episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.
URL copied to clipboard!