Learning Center

To help you learn about our theory and technology, we have organized educational content below. Additional relevant content and Archived Content that is largely obsolete can be found further below.

  • BAMI – This living book (Biological And Machine Intelligence) documents our Hierarchical Temporal Memory framework for both biological and machine intelligence. It is designed for anyone who wants to learn about HTM cortical theory and its applications for machine intelligence.
  • Research Papers – This is a repository for papers that document our research. It includes peer-reviewed papers, papers that have been submitted for review pending publication, and self-published manuscripts.
  • HTM School - This YouTube series is designed to educate the general public about Hierarchical Temporal Memory (HTM). Each 10-15 minute episode dives into a particular topic of HTM theory.
  • NuPIC - This is the Numenta Platform for Intelligent Computing. For those interested in a more technical perspective, go to this site for information about our open source communities, including online forums and installation instructions.

Additional Relevant Content

Overview Content

  • On Intelligence

    Jeff Hawkins & Sandra Blakeslee | Co-Founder & Co-Author

    The core concepts in Hierarchical Temporal Memory (HTM) theory were first described in this book titled On Intelligence, which was written by Jeff Hawkins with the help of Sandra Blakeslee.

    book Details
  • HTM Videos from Jeff Hawkins

    Jeff Hawkins | Co-Founder

    These two videos are similar, and provide an overview of HTM and associated topics by Numenta’s founder, Jeff Hawkins. The talks have slightly different emphasis. For instance, the first video has more details on SDRs.

    talk Details
  • Machine Intelligence with Streaming Data Webinar

    Numenta | Christy Maver & Scott Purdy

    This webinar provides an overview of the current state of HTM, with an emphasis on the software implementation and example applications. The Q&A session at the end of the webinar answers some popular user questions.

    talk Details

Detailed Content

Archived Content