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

episode

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) not yet transcribed

▲ 0

Transcript

This episode hasn't been transcribed yet Upvotes decide what gets transcribed next — 0 so far. Sign in to upvote

Related

recent transcribed audio

NPR News: 09-22-2026 12PM EDT 5 min · 22 Sep 2026 · NPR News Now

12PM ET 09/22/2026 Newscast 3 min · 22 Sep 2026 · Fox News Hourly Update

Des Décisions Difficiles À Venir Pour Le Canadien | Le Sick Podcast Avec Tony Marinaro 22/09/26 1h 31m · 22 Sep 2026 · The Sick Podcast with Tony Marinaro / Le Sick Podcast avec Tony Marinaro

JTP: Bateman Hurt, 2027 Lookahead & Bisons’ Josh Winckowski 1h 39m · 22 Sep 2026 · Blue Jays Talk

ep 399 | What does a Fed hiking cycle mean for markets? 8 min · 22 Sep 2026 · On Point

Ep. 2065 - How They Legally Killed An 83-Year-Old Grandmother 46 min · 22 Sep 2026 · The Michael Knowles Show

Report any issue

Source

Recorded16 Aug 2018

Publisherfeeds.megaphone.fm ↗

Handlerec:12496365

Show notes

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.

Ask this episode

“What did the council decide on item 42?” — answered with the speaker and the moment.

Sign in