Chapter
The Future of Perception
38:18 - 47:08 (08:49)
The speaker believes that while we are far from understanding the full extent of perception and what it can do, the key to making progress is generating new ideas and implementing structures that are like the moral equivalent of convolution.
Clips
The key to efficient learning and progression in AI is the development of structures that can effectively organize and process data, such as the moral equivalent of convolution, forward search, and notions of abstraction, as well as the recognition that objects exist.
38:18 - 42:01 (03:43)
Summary
The key to efficient learning and progression in AI is the development of structures that can effectively organize and process data, such as the moral equivalent of convolution, forward search, and notions of abstraction, as well as the recognition that objects exist.
ChapterThe Future of Perception
EpisodeLeslie Kaelbling: Reinforcement Learning, Planning, and Robotics
PodcastLex Fridman Podcast
Self-awareness in robots is a topic of ongoing debate in the tech industry.
42:02 - 44:49 (02:47)
Summary
Self-awareness in robots is a topic of ongoing debate in the tech industry. Rather than worrying about when robots will achieve self-awareness, experts suggest focusing on improving their functionality and designing benchmarks for better competition.
ChapterThe Future of Perception
EpisodeLeslie Kaelbling: Reinforcement Learning, Planning, and Robotics
PodcastLex Fridman Podcast
After the resignation of the majority of the editorial board of a previous machine learning journal, a new journal emerged with the aim of shaping high-quality research and ideas within the field.
44:49 - 47:08 (02:18)
Summary
After the resignation of the majority of the editorial board of a previous machine learning journal, a new journal emerged with the aim of shaping high-quality research and ideas within the field.