Chapter
The Intersection of Physics and Machine Learning
1:23:54 - 1:31:07 (07:12)
Theories in physics can be understood and applied through the principles of machine learning, which could lead to new discoveries and paths of inquiry.
Clips
This transcript snippet showcases the confusion surrounding the personification of Microsoft products, particularly the contradictory ideas of turning software into creatures and having a human embodiment of the brand.
1:23:54 - 1:26:11 (02:16)
Summary
This transcript snippet showcases the confusion surrounding the personification of Microsoft products, particularly the contradictory ideas of turning software into creatures and having a human embodiment of the brand.
ChapterThe Intersection of Physics and Machine Learning
Episode#218 – Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI
PodcastLex Fridman Podcast
Theoretical physics research is increasingly relying on machine learning to better understand complex systems.
1:26:11 - 1:27:54 (01:43)
Summary
Theoretical physics research is increasingly relying on machine learning to better understand complex systems. The understanding of different physics theories as matrix models is an established aspect while the use of machine learning provides a way of moving fluidly between different ways of describing these systems.
ChapterThe Intersection of Physics and Machine Learning
Episode#218 – Jaron Lanier: Virtual Reality, Social Media & the Future of Humans and AI
PodcastLex Fridman Podcast
The new theory on the origin of the universe proposes to explain its beginnings through the evolution of simple principles and starting conditions, pushing the storytelling further back in time than previously thought.
1:27:54 - 1:31:07 (03:12)
Summary
The new theory on the origin of the universe proposes to explain its beginnings through the evolution of simple principles and starting conditions, pushing the storytelling further back in time than previously thought.