Common Sense as an Algorithmic Framework with Dileep George - #430
Published:Nov 23, 2020 21:18
•1 min read
•Practical AI
Analysis
This podcast episode from Practical AI features Dileep George, a prominent figure in AI research and neuroscience, discussing the pursuit of Artificial General Intelligence (AGI). The conversation centers on the significance of brain-inspired AI, particularly hierarchical temporal memory, and the interconnectedness of tasks related to language understanding. George's work with Recursive Cortical Networks and Schema Networks is also highlighted, offering insights into his approach to AGI. The episode promises a deep dive into the challenges and future directions of AI development, emphasizing the importance of mimicking the human brain.
Key Takeaways
- •The episode focuses on the intersection of AI research and neuroscience.
- •It highlights the importance of brain-inspired AI, particularly hierarchical temporal memory.
- •The discussion includes George's work on Recursive Cortical Networks and Schema Networks, and their role in AGI.
Reference
“We explore the importance of mimicking the brain when looking to achieve artificial general intelligence, the nuance of “language understanding” and how all the tasks that fall underneath it are all interconnected, with or without language.”