HackerTube
HomeLongsLikedHistoryWatch laterCategoriesPlaylistsSettings

Building Brains to Understand the World's Data

Google TechTalks1 HN recommender · recommended in 1 month, 2013-2017
YouTube
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.

Neuroscience & the brainMachine learning & deep learning#jeffhawkins#sparsedistributedrepresentations#numenta#neocortex#prediction

3 comments from Hacker News

@daveguy2017 · in “A Theory of Sequence Memory in Neocortex”

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

CitesView on HN
@dsego2014 · in “The Stupidity of Computers”

What about this? Building Brains to Understand the World's Data (google tech talk): ▶ this video The result is link

CitesView on HN
@scotth2013 · in “Palm founder Jeff Hawkins on neurology, big data, and the future of AI”

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

RecommendsView on HN
Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #252:09:42

Jeff Hawkins: Thousand Brains Theory of Intelligence | Lex Fridman Podcast #25

Lex Fridman
329K views • 7 years ago
Human brain mapping and brain decoding. | Jack Gallant | TEDxSanFrancisco17:27

Human brain mapping and brain decoding. | Jack Gallant | TEDxSanFrancisco

TEDx Talks
175K views • 9 years ago
Movie reconstruction from human brain activity0:29

Movie reconstruction from human brain activity

Jack Gallant
6.7M views • 15 years ago
Brains, Sex, and Machine Learning1:00:19

Brains, Sex, and Machine Learning

Google TechTalks
152K views • 14 years ago
Neural Networks Demystified [Part 1: Data and Architecture]3:07

Neural Networks Demystified [Part 1: Data and Architecture]

Welch Labs
838K views • 12 years ago
What Bodies Think About: Bioelectric Computation Outside the Nervous System - NeurIPS 201852:07

What Bodies Think About: Bioelectric Computation Outside the Nervous System - NeurIPS 2018

The Artificial Intelligence Channel
103K views • 7 years ago
The Neuroscience of Consciousness – with Anil Seth1:00:14

The Neuroscience of Consciousness – with Anil Seth

The Royal Institution
1.9M views • 9 years ago
Recent Developments in Deep Learning1:05:18

Recent Developments in Deep Learning

Google TechTalks
85K views • 16 years ago
John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges1:03:32

John Schulman - Reinforcement Learning from Human Feedback: Progress and Challenges

UC Berkeley EECS
88K views • 3 years ago
How Your Brain Works & Changes1:02:31

How Your Brain Works & Changes

Andrew Huberman
2.1M views • 5 years ago
Your Brain at Work55:03

Your Brain at Work

Google TechTalks
353K views • 16 years ago
The spelled-out intro to neural networks and backpropagation: building micrograd2:25:52

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy
4.4M views • 4 years ago
Tensorflow and deep learning - without a PhD by Martin Görner2:35:53

Tensorflow and deep learning - without a PhD by Martin Görner

Devoxx
610K views • 10 years ago
Neuroscience of Personality | Dario Nardi | Talks at Google1:25:27

Neuroscience of Personality | Dario Nardi | Talks at Google

Talks at Google
163K views • 15 years ago
Joscha: From Computation to Consciousness (31c3)1:00:52

Joscha: From Computation to Consciousness (31c3)

Joscha Bach
28K views • 11 years ago
MarI/O - Machine Learning for Video Games5:58

MarI/O - Machine Learning for Video Games

SethBling
11.5M views • 11 years ago
Matter to Mind:Bioelectricity, Body Intelligence, Future of Regenerative Medicine- Dr. Michael Levin1:17:16

Matter to Mind:Bioelectricity, Body Intelligence, Future of Regenerative Medicine- Dr. Michael Levin

Harvard Extension Student Psychological Club
23K views • 3 years ago
Future Computers Will Be Radically Different (Analog Computing)21:42

Future Computers Will Be Radically Different (Analog Computing)

Veritasium
13.2M views • 4 years ago
How to Create a Mind | Ray Kurzweil | Talks at Google1:19:04

How to Create a Mind | Ray Kurzweil | Talks at Google

Talks at Google
250K views • 13 years ago
Attention Is All You Need27:07

Attention Is All You Need

Yannic Kilcher
814K views • 8 years ago