ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173 episode artwork

EPISODE · Aug 16, 2018 · 56 MIN

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

from The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) · host Sam Charrington

Today we’re joined by Kyle Story, computer vision engineer at Descartes Labs. Kyle and I caught up after his recent talk at the Google Cloud Next Conference titled “How Computers See the Earth: A Machine Learning Approach to Understanding Satellite Imagery at Scale.” We discuss some of the interesting computer vision problems he’s worked on at Descartes, and the key challenges they’ve had to overcome in scaling them.

Episode metadata supplied by the publisher feed · Published Aug 16, 2018

Embed this episode

Ready to play

ML for Understanding Satellite Imagery at Scale with Kyle Story - TWiML Talk #173

0:00 56:25

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 The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)?

This episode is 56 minutes long.

When was this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode published?

This episode was published on August 16, 2018.

Can I download this The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) episode?

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