Chapter

Neuromorphic Systems and the Exploration of Human Intelligence
The possibility of moving away from neuromorphic systems, towards physical systems such as superconducting electronics or single photon communication, to better understand human intelligence and general intelligence is being discussed. This comes as large-scale machine learning training systems are being developed, such as Tesla's Dojo.
Clips
Will we move away from exploring neuromorphic systems and their ability to solve problems that modern machine learning systems can’t?
2:03:24 - 2:07:29 (04:04)
Summary
Will we move away from exploring neuromorphic systems and their ability to solve problems that modern machine learning systems can’t? This podcast explores the possibilities of single-photon communication and superconducting electronics for deep neural networks.
ChapterNeuromorphic Systems and the Exploration of Human Intelligence
Episode#225 – Jeffrey Shainline: Neuromorphic Computing and Optoelectronic Intelligence
PodcastLex Fridman Podcast
Tesla has announced its large-scale machine learning training system called Dojo, which could be useful for a variety of applications, such as image or face recognition, as long as it proves to be more efficient than current silicon-based systems.
2:07:29 - 2:09:11 (01:41)
Summary
Tesla has announced its large-scale machine learning training system called Dojo, which could be useful for a variety of applications, such as image or face recognition, as long as it proves to be more efficient than current silicon-based systems. It requires large-scale operation to overcome the power penalty.