u/patty000wagonin r/compsci • Recommends
#numenta#htm#hierarchicaltemporalmemory
Building Brains to Understand the World's Data
349K subscribers • 62 videos on Hallway
- Recommended by 2 people: 1 on Hacker News and 1 in engineering communities.
- Presented by Jeff Hawkins, co-founder of Numenta
- May be out of date. Uploaded 13 years ago, in an area where tools change fast.
Intermediate. Assumes working knowledge.
83K views13 years ago2 recommendations
AI and machine learningNeural networks and deep learningClassic machine learning
Jeff Hawkins explains how the neocortex processes information using sparse distributed representations and how Numenta models this for predictive data streams.
Google Tech Talk February 12, 2013 (more info below) Presented by Jeff Hawkins. ABSTRACT The neocortex works on principles that are fundamentally different than traditional computers. In this talk I will describe recent advances in understanding the neocortex and how we are applying them to model millions of high velocity data streams. The talk will start with a description of sparse distributed representations, which are the fundamental units of information in brains. I will then discuss how these representations are learned and how the brain processes them to build predictive models from sensory data. Numenta has built a product called Grok that emulates these capabilities of the neocortex. Grok is being used to understand high velocity machine generated data in many different domains. I will give a brief introduction to Grok and speculate on the future of machine intelligence.Why it's here
2 people recommend thisWhat people say. Recommended for its explanation of Hierarchical Temporal Memory and brain-inspired approaches to machine intelligence.
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