Transferable Skills
Jon reflects on his decision to focus on transferable skills during his PhD, contrasting it with the specialization of his peers. He emphasizes the importance of programming and machine learning, highlighting his collaboration with a renowned AI research group. The conversation takes a humorous turn as they discuss the idea of machines experiencing self-doubt and the implications of creating intelligent systems that mirror human anxieties.In this clip
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Related Questions
I have a question for Dr. Huberman about the role of machine learning in the future as it pertains to tailored in vivo neural repair, specifically in the context of direct lineage reprogramming of glia, such as GABAergic interneurons of the PV generated from NG2, for customized neurogenesis to support the treatment of brain injuries. This question is related to the episode Dr. Lex Fridman: Machines, Creativity & Love | Huberman Lab Podcast #29 and the clip Human-Robot Relationships.
I have a question about the episode Dr. Lex Fridman: Machines, Creativity & Love | Huberman Lab Podcast #29 and the clip Human-Robot Relationships. As a Psychology and Neuroscience graduate student at King's College London, I am exploring the role of machine learning and brain-computer interfaces to expand on direct lineage reprogramming of glia, specifically GABAergic interneurons of the PV generated from NG2, for customized neurogenesis to support the treatment of brain injuries. If possible, I would love to get Dr. Huberman's perspective on the role of machine learning in the future as it pertains to tailored in vivo neural repair.
Good evening, I am a Psychology and Neuroscience graduate student at King's College London. As part of my synoptic project research, I'm exploring the role of machine learning and brain-computer interfaces to expand on direct lineage reprogramming of glia, specifically GABAergic interneurons of the PV generated from NG2, for customized neurogenesis to support the treatment of brain injuries. If possible, I would love to get Dr. Huberman's perspective on the role of machine learning in the future as it pertains to tailored in vivo neural repair.