Chapter
The Limits of Decision-Making in Machine Learning
1:15:19 - 1:22:09 (06:49)
The speaker reflects on how little we truly know about the effectiveness of decision-making in machine learning, drawing parallels to our knowledge of the beginning of time and our own future. They acknowledge that while we should be cautious and mindful of the limits, we should also push the boundaries in order to test the abilities of machine learning algorithms.
Clips
The AlphaPilot Challenge is designed to push drone pilots to their limits by creating courses that will consistently beat the machines, while still being safe for participants to fly.
1:15:19 - 1:18:42 (03:22)
Summary
The AlphaPilot Challenge is designed to push drone pilots to their limits by creating courses that will consistently beat the machines, while still being safe for participants to fly. The challenge is aimed at creating faster, safer, and more capable drones that will advance the field of autonomous flight.
ChapterThe Limits of Decision-Making in Machine Learning
Episode#97 – Sertac Karaman: Robots That Fly and Robots That Drive
PodcastLex Fridman Podcast
The field of robotics is split between perception and decision-making, and while there is a general understanding that worst-case scenarios can be difficult, it is baffling how little is truly known about the field and its underlying mathematics.
1:18:42 - 1:22:09 (03:26)
Summary
The field of robotics is split between perception and decision-making, and while there is a general understanding that worst-case scenarios can be difficult, it is baffling how little is truly known about the field and its underlying mathematics.