Chapter
Applying AI in Biology
56:48 - 1:09:35 (12:46)
The speaker emphasizes the importance of using all available sources of information, including neuroscience, to solve challenging problems in AI such as developing human-level intelligence. AI has the potential to be the perfect description language for the messy and complex field of biology as it enables dynamic and emergent solutions.
Clips
Demis Hassabis reflects on the origin and development of DeepMind, and the future prospects of AI as an engineering science.
56:48 - 58:24 (01:36)
Summary
Demis Hassabis reflects on the origin and development of DeepMind, and the future prospects of AI as an engineering science.
ChapterApplying AI in Biology
Episode#299 – Demis Hassabis: DeepMind
PodcastLex Fridman Podcast
In this transcript, the co-founder of DeepMind, Mustafa Suleyman, talks about his experience at MIT and the difficulty of getting industry support for AI before 2010.
58:24 - 59:27 (01:02)
Summary
In this transcript, the co-founder of DeepMind, Mustafa Suleyman, talks about his experience at MIT and the difficulty of getting industry support for AI before 2010. He also discusses DeepMind's founding tenets, including algorithmic advances like deep learning.
ChapterApplying AI in Biology
Episode#299 – Demis Hassabis: DeepMind
PodcastLex Fridman Podcast
This podcast episode discusses the importance of reinforcement learning in solving intelligence and how it can guide one to find the right direction for research.
59:27 - 1:05:01 (05:34)
Summary
This podcast episode discusses the importance of reinforcement learning in solving intelligence and how it can guide one to find the right direction for research. Theoretical proof such as AIXI, which is a universal intelligence reinforcement learning system in the limit, is also mentioned.
ChapterApplying AI in Biology
Episode#299 – Demis Hassabis: DeepMind
PodcastLex Fridman Podcast
The development of powerful enough systems has opened up opportunities to apply artificial intelligence in various fields, including biology to better understand diseases and the human body.
1:05:01 - 1:06:58 (01:56)
Summary
The development of powerful enough systems has opened up opportunities to apply artificial intelligence in various fields, including biology to better understand diseases and the human body. Research is currently underway to work on simulating bigger biological systems such as protein-protein interaction, pathways, and eventually a virtual cell.
ChapterApplying AI in Biology
Episode#299 – Demis Hassabis: DeepMind
PodcastLex Fridman Podcast
The complex and emergent nature of biology suggests that AI might turn out to be the perfect description language for the field.
1:06:58 - 1:08:50 (01:51)
Summary
The complex and emergent nature of biology suggests that AI might turn out to be the perfect description language for the field. Virtual cell experimentation could speed up drug development through validating results in wet labs.
ChapterApplying AI in Biology
Episode#299 – Demis Hassabis: DeepMind
PodcastLex Fridman Podcast
The complexities of biology make it difficult to uncover its basic building blocks and rules.
1:08:50 - 1:09:35 (00:45)
Summary
The complexities of biology make it difficult to uncover its basic building blocks and rules. AI can help to simulate and predict how biological systems function and evolve, creating a cellular automata-like model to better understand this dynamic field of science.