Discover this podcast and so much more

Podcasts are free to enjoy without a subscription. We also offer ebooks, audiobooks, and so much more for just $11.99/month.

BI 147 Noah Hutton: In Silico

BI 147 Noah Hutton: In Silico

FromBrain Inspired


BI 147 Noah Hutton: In Silico

FromBrain Inspired

ratings:
Length:
97 minutes
Released:
Sep 13, 2022
Format:
Podcast episode

Description

Check out my free video series about what's missing in AI and Neuroscience






Support the show to get full episodes and join the Discord community.








Noah Hutton writes, directs, and scores documentary and narrative films. On this episode, we discuss his documentary In Silico. In 2009, Noah watched a TED talk by Henry Markram, in which Henry claimed it would take 10 years to fully simulate a human brain. This claim inspired Noah to chronicle the project, visiting Henry and his team periodically throughout. The result was In Silico, which tells the science, human, and social story of Henry's massively funded projects - the Blue Brain Project and the Human Brain Project.





In Silico website.Noah's website.Twitter: @noah_hutton.



0:00 - Intro
3:36 - Release and premier
7:37 - Noah's background
9:52 - Origins of In Silico
19:39 - Recurring visits
22:13 - Including the critics
25:22 - Markram's shifting outlook and salesmanship
35:43 - Promises and delivery
41:28 - Computer and brain terms interchange
49:22 - Progress vs. illusion of progress
52:19 - Close to quitting
58:01 - Salesmanship vs bad at estimating timelines
1:02:12 - Brain simulation science
1:11:19 - AGI
1:14:48 - Brain simulation vs. neuro-AI
1:21:03 - Opinion on TED talks
1:25:16 - Hero worship
1:29:03 - Feedback on In Silico
Released:
Sep 13, 2022
Format:
Podcast episode

Titles in the series (99)

Neuroscience and artificial intelligence work better together. Brain inspired is a celebration and exploration of the ideas driving our progress to understand intelligence. I interview experts about their work at the interface of neuroscience, artificial intelligence, cognitive science, philosophy, psychology, and more: the symbiosis of these overlapping fields, how they inform each other, where they differ, what the past brought us, and what the future brings. Topics include computational neuroscience, supervised machine learning, unsupervised learning, reinforcement learning, deep learning, convolutional and recurrent neural networks, decision-making science, AI agents, backpropagation, credit assignment, neuroengineering, neuromorphics, emergence, philosophy of mind, consciousness, general AI, spiking neural networks, data science, and a lot more. The podcast is not produced for a general audience. Instead, it aims to educate, challenge, inspire, and hopefully entertain those interested in learning more about neuroscience and AI.