We are a team of scientists and engineers applying neuroscience principles to machine intelligence research.
To reverse-engineer the neocortex and to enable machine intelligence technology based on cortical theory.
We believe the brain is the best example of an intelligent system. The brain’s center of intelligence, the neocortex, controls a wide range of functions using a common set of principles.
Today’s machine learning and AI have accomplished many impressive tasks but are restricted to narrow, specific goals. In stark contrast, intelligent machines continuously learn patterns in their environment without supervision, enabling them to tackle problems in entirely new ways. Intelligent machines that learn will have an enormous beneficial impact in the coming decades, and the neocortex provides the blueprint for building them.
Numenta has developed a novel theory and broad framework for understanding what the neocortex does and how it does it, called the Thousand Brains Theory of Intelligence. We have built a robust roadmap that lays out the steps to achieving truly intelligent machines based on the key principles of the Thousand Brains Theory.
We are one of the few teams that has developed large-scale theories of the brain that are biologically constrained, testable, and implemented in software.
Our deep neuroscience research provides the foundation for delivering transformational changes in machine learning and AI. We document our research in several ways, including peer-reviewed journal papers, conference proceedings, and invited talks. In addition, we place our research commits in an open-source project. We strive to be completely open in everything we do.