Chapter
The Proto Field of Artificial Intelligence
03:35 - 10:00 (06:25)
The field of artificial intelligence (AI), specifically machine learning, is still in its early stages and breakthroughs are not on the immediate horizon, despite some people's claims, due to the complex and theoretical aspects required to truly understand and apply human data and decisions towards it.
Clips
The theoretical and algorithmic advancements within computer science have led to the development of systems that bring value to human beings by incorporating human data and decisions, similar to the evolution of chemical engineering from chemistry or electrical engineering from electromagnetism.
03:35 - 06:21 (02:45)
Summary
The theoretical and algorithmic advancements within computer science have led to the development of systems that bring value to human beings by incorporating human data and decisions, similar to the evolution of chemical engineering from chemistry or electrical engineering from electromagnetism.
ChapterThe Proto Field of Artificial Intelligence
Episode#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
PodcastLex Fridman Podcast
In this podcast, the speaker discusses the current understanding of the human brain and how far we have come in neuroscience.
06:21 - 07:49 (01:27)
Summary
In this podcast, the speaker discusses the current understanding of the human brain and how far we have come in neuroscience. The speaker highlights the difference between the opinions of the general public and experts in the field and offers insights into the current state of research.
ChapterThe Proto Field of Artificial Intelligence
Episode#74 – Michael I. Jordan: Machine Learning, Recommender Systems, and the Future of AI
PodcastLex Fridman Podcast
Despite the common belief that breakthroughs in neuroscience are imminent, the basic mechanisms and principles behind the complexity of the brain remain unknown, making it difficult to achieve significant scientific advancements.
07:49 - 10:00 (02:11)
Summary
Despite the common belief that breakthroughs in neuroscience are imminent, the basic mechanisms and principles behind the complexity of the brain remain unknown, making it difficult to achieve significant scientific advancements. Instead, we should focus on applying neuroscience research to areas like Alzheimer's disease in hopes of solving pressing health issues.