invariances Archives

How to build a General Intelligence: What we think we already know

by David Rawlinson
October 30, 2015December 22, 2017

Authors: D Rawlinson and G Kowadlo This is the first of three articles detailing our latest thinking on general intelligence: A one-size-fits-all algorithm that, like people, is able to learn how to function effectively in almost any environment. This differs from most Artificial Intelligence (AI), which is designed by people… Read More »How to build a General Intelligence: What we think we already know

TP 1/3: Temporal Pooler background

by David Rawlinson
April 28, 2014November 20, 2017

by David Rawlinson and Gideon Kowadlo Article Series This is the first of 3 articles about temporal pooler design for Numenta’s Cortical Learning Algorithm (CLA) and related methods (e.g. HTM/MPF). It has limited relevance to Deep Belief Networks. This first part will describe some of the considerations, objectives and constraints… Read More »TP 1/3: Temporal Pooler background