Computing Like the Brain: The Path to Machine Intelligence
Understanding how the brain works and building machines that work on the same principles is one of the greatest quests of our time. In this talk I will describe recent advances in neocortical theory, including why the brain uses sparse distributed representations and how the brain makes predictions from high velocity sensory data streams.
I will demonstrate a product called Grok, that uses a detailed model of neocortical memory to act on machine generated data and how developers can contribute to the development of intelligent machines via the NuPIC open source project (www.numenta.org).
I will end my talk with a discussion of the future of machine intelligence.
developers, Technical leads and Architects,programmers, testers, business analysts and product owners