Chapter
Learning and Integrating Quantum Computing in Real-Life Applications.
1:41:33 - 1:51:47 (10:13)
Experts suggest that people wanting to explore and implement quantum computing in their work should start by studying the basics and then branching out to more complex problems. They opine that the integration of quantum computing with different disciplines can accelerate progress in solving real-world problems.
Clips
Professor Melanie Mitchell discusses the limitations of reductionism in understanding complex systems, using the example of cellular automata and the surprising amount of complexity that can arise from simple rules.
1:41:33 - 1:43:10 (01:37)
Summary
Professor Melanie Mitchell discusses the limitations of reductionism in understanding complex systems, using the example of cellular automata and the surprising amount of complexity that can arise from simple rules. She highlights the importance of looking at the interactions and networks between parts rather than just breaking things down into individual components.
ChapterLearning and Integrating Quantum Computing in Real-Life Applications.
EpisodeMelanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
PodcastLex Fridman Podcast
The Santa Fe Institute (SFI) hosts a diverse group of external faculty with varying expertise to tackle interdisciplinary questions.
1:43:11 - 1:49:01 (05:50)
Summary
The Santa Fe Institute (SFI) hosts a diverse group of external faculty with varying expertise to tackle interdisciplinary questions. The SFI also offers an online education platform with courses taught by their own faculty, including an introduction to complexity course.
ChapterLearning and Integrating Quantum Computing in Real-Life Applications.
EpisodeMelanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
PodcastLex Fridman Podcast
The progress in AI has shifted from idealized problems to more real world problems, focusing on first principles, basic fundamental aspects of a problem.
1:49:01 - 1:50:58 (01:57)
Summary
The progress in AI has shifted from idealized problems to more real world problems, focusing on first principles, basic fundamental aspects of a problem. Copycat AI is now able to create analogies, which has been a major milestone in AI development.
ChapterLearning and Integrating Quantum Computing in Real-Life Applications.
EpisodeMelanie Mitchell: Concepts, Analogies, Common Sense & Future of AI
PodcastLex Fridman Podcast
Metacat, a predictive model used as a tool for exploring cognitive models has a Python 3 implementation.
1:50:58 - 1:51:47 (00:48)
Summary
Metacat, a predictive model used as a tool for exploring cognitive models has a Python 3 implementation. To learn and integrate Metacat into various projects, interested individuals are advised to read books such as Fluid Concepts and Creative Analogies and Analogy Making As Perception, or check out the available code from various resources.