
Doing the Best They Can: EverestLabs Ensures Fewer Recyclables Go to Landfills - Ep. 184
NVIDIA AI Podcast
What Are Some of the Hardest Problems?
Noah: We are gathering data around different types of objects and different classes, subclasses, super Classes. And then you're also gathering information on belt speeds as well as information on belt, plant up time, and plant down time. What is the material distribution from warning shifts to non-shifts to run data? Run data. Noah: One of the hardest problems is understanding how many different shapes a particular PET bottle, audio, water bottle, audio,. aluminum beer can or a soda can can take.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.