Brains, Data, Machine Intelligence & Cortical Learning with Jeff Hawkins

We are honoured to have serial entrepreneur, scientist and Numenta (https://groksolutions.com) Co-founder Jeff Hawkins (http://en.wikipedia.org/wiki/Jeff_Hawkins) present at our second meetup.

http://www.youtube.com/watch?v=G6CVj5IQkzk

Jeff will discuss the Brains, Data, Machine Intelligence, Cortical Learning Algorithm he developed (whitepaper here (http://numenta.org/cla-white-paper.html)) and the Numenta Platform for Intelligent Computing (NuPIC). The talk will be streamed live from California.

Schedule:

6:15-6:45 - Networking

6:45-7-45 - Talk and QA

To guarantee a place you must register on the SM page as well (https://skillsmatter.com/meetups/6299-brains-data-machine-intelligence-cortical-learning-with-jeff-hawkins) .

Biography

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 Grok (formerly known as Numenta), a startup company building a technology based on neocortical theory. It is his hope that Grok 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.

About Numenta

Numenta, Inc. was formed in 2005 to develop biologically-inspiredmachine intelligence technology for both commercial and scientific use.

What is NuPIC?

NuPIC, the Numenta Platform for Intelligent Computing, comprises a set of 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.