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You are here: HomeResourcesOnline PresentationsHierarchical Temporal Memory: How a New Theory of Neocortex May Lead to Truly Intelligent MachinesAbout

Hierarchical Temporal Memory: How a New Theory of Neocortex May Lead to Truly Intelligent Machines

By Jeff Hawkins

Numenta, Inc.

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Coaxing computers to perorm basic acts of perception and robotics, let alone high-level thought, has been difficult. No existing computer can recognize pictures, understand language, or navigate through a cluttered room with anywhere near a child's facility. Following nature's example, Jeff Hawkins has developed an understanding of how the neocortex performs these and other tasks.

Bio Jeffery Hawkins Jeff Hawkins has founded three technology companies, Palm, Handspring, and Numenta, as well as the nonprofit Redwood Neuroscience Institute. He has designed numerous computing products, including the PalmPilot and Treo smartphone. His newest company, Numenta, is building a computing architecture modeled on the neocortex, and in 2004 he authored a book about brain theory titled On Intelligence. It is his hope that Numenta will play a catalytic role in creating an industry based on his theory of the neocortex and technology. Hawkins has a BSEE from Cornell and was elected to the National Academy of Engineering in 2003.
Cite this work

Researchers should cite this work as follows:

  • Jeff Hawkins (2007), "Hierarchical Temporal Memory: How a New Theory of Neocortex May Lead to Truly Intelligent Machines," http://nanohub.org/resources/3555.

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Time 10:30 AM, November 13, 2007
Location Loeb Playhouse, Stewart Center, Purdue University, West Lafayette, INI
Tags
  1. algorithms
  2. research seminar
  3. vision

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