Building Brains to Understand the World's Data
Google TechTalks1 HN recommender · recommended in 1 month, 2013-2017
84K views · 13 years ago · talk · dated
Jeff Hawkins presents his view that the neocortex works on principles different from traditional computers. He describes sparse distributed representations and how they are learned, then shows how Numenta applies them to predict from high-velocity data streams.
Recommended as Hawkins' own accessible statement of his brain-inspired theory of intelligence and its software implementation.
2:09:42Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #25
Lex Fridman
329K views • 7 years ago
17:27Human brain mapping and brain decoding. | Jack Gallant | TEDxSanFrancisco
TEDx Talks
175K views • 9 years ago
0:29Movie reconstruction from human brain activity
Jack Gallant
6.7M views • 15 years ago
1:00:19Brains, Sex, and Machine Learning
Google TechTalks
152K views • 14 years ago
3:07Neural Networks Demystified [Part 1: Data and Architecture]
Welch Labs
838K views • 12 years ago
52:07What Bodies Think About: Bioelectric Computation Outside the Nervous System - NeurIPS 2018
The Artificial Intelligence Channel
103K views • 7 years ago
1:00:14The Neuroscience of Consciousness – with Anil Seth
The Royal Institution
1.9M views • 9 years ago
1:05:18Recent Developments in Deep Learning
Google TechTalks
85K views • 16 years ago
1:03:32John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges
UC Berkeley EECS
88K views • 3 years ago
1:02:31How Your Brain Works & Changes
Andrew Huberman
2.1M views • 5 years ago
55:03Your Brain at Work
Google TechTalks
353K views • 16 years ago
2:25:52The spelled-out intro to neural networks and backpropagation: building micrograd
Andrej Karpathy
4.4M views • 4 years ago
2:35:53Tensorflow and deep learning - without a PhD by Martin Görner
Devoxx
610K views • 10 years ago
1:25:27Neuroscience of Personality | Dario Nardi | Talks at Google
Talks at Google
163K views • 15 years ago
1:00:52Joscha: From Computation to Consciousness (31c3)
Joscha Bach
28K views • 11 years ago
5:58MarI/O - Machine Learning for Video Games
SethBling
11.5M views • 11 years ago
1:17:16Matter to Mind:Bioelectricity, Body Intelligence, Future of Regenerative Medicine- Dr. Michael Levin
Harvard Extension Student Psychological Club
23K views • 3 years ago
21:42Future Computers Will Be Radically Different (Analog Computing)
Veritasium
13.2M views • 4 years ago
1:19:04How to Create a Mind | Ray Kurzweil | Talks at Google
Talks at Google
250K views • 13 years ago
27:07Attention Is All You Need
Yannic Kilcher
814K views • 8 years ago
3 comments from Hacker News
I think that Hawkins has a great summary on some things that are necessary for intelligence [0]. Personally I think the tie between motor actuation and sensory detection is one of the most important -- did a project on that in 2010. Motor-sensory link is essentially how all intelligence evolved. Even c.elegans has neurons to determine whether it should wiggle one way or another. On the surface he seems to be cramming a whole lot of "solutions" into his HTM (hierarchical temporal memory). HTM is an interesting implementation and the sparse coding is definitely a benefit. However I think he is focused too much on his baby and not on other techniques that may fulfill the necessary components more efficiently. That is just on the surface. With a product / research balance maybe we just aren't seeing all the cool things going on underneath in research, but it does seem like that research will be shoe-horned into HTM whether or not it is the best architecture. [0] ▶ this video Starting at ~8m20s
What about this? Building Brains to Understand the World's Data (google tech talk): ▶ this video The result is link
Here's an related talk by Jeff Hawkins at Google, where he gets into his ideas about the structure of the brain, and what he's done to reconstruct it in software/hardware. ▶ this video