What the Brain Says About Machine Intelligence NYC Meetup
Come hear Jeff Hawkins speak about the machine intelligence work being done at Numenta in NYC. This Meetup is an hour-long presentation by Jeff at 7PM, followed by another hour of networking and socialization. Anyone is welcome to attend, but you must RSVP. Anyone showing up at the door without an RSVP will be turned away.
The neocortex is the only example we have of a cognitive system. I will argue that understanding the principles of how the neocortex works and then building machines that work on those principles is the only way to build intelligent machines. I will describe the progress we are making in understanding how the neocortex works and demonstrate how we are turning that knowledge into useful technology and products.
Jeff Hawkins is an engineer, serial entrepreneur, scientist, inventor, and author. He was a founder of two mobile computing companies, Palm and Handspring, and was the architect of many computing products such as the PalmPilot and Treo smartphone. Throughout his life Jeff has also had a deep interest in neuroscience and theories of the neocortex. In 2002 he founded the Redwood Neuroscience Institute, a scientific institute focused on understanding how the neocortex processes information. The institute is now located at U.C. Berkeley. In 2004 he wrote the book On Intelligence, which describes progress on understanding the neocortex. In 2005 he co-founded Numenta, a startup company building a technology based on neocortical theory. It is his hope that Numenta will play a catalytic role in the emerging field of machine intelligence. Jeff Hawkins earned his B.S. in electrical engineering from Cornell University in 1979. He was elected to the National Academy of Engineering in 2003.
Numenta, Inc. was formed in 2005 to develop biologically-inspired machine intelligence technology for both commercial and scientific use.
What is NuPIC?
NuPIC, the Numenta Platform for Intelligent Computing, comprises a set of open source learning algorithms that were first described in a white paper published by Numenta in 2009. The learning algorithms faithfully capture how layers of neurons in the neocortex learn. The white paper has been translated into seven languages by volunteers and has generated considerable interest among developers and research scientists.