Applying neuroscience discoveries to dramatically increase performance and unlock new capabilities of AI.
We believe that neocortical principles will drive the creation of machine intelligence.
Today’s AI systems have accomplished many impressive tasks but are often met with complex challenges. They require enormous amounts of data and computational power, are restricted to narrow, specific goals, and can struggle with tasks that humans find instinctive. In stark contrast, intelligent machines built on neocortical principles are designed to continuously learn, adapt and engage with the world without supervision, much like the human brain. Their ability to tackle problems in entirely new ways, combined with energy efficiency far beyond existing AI systems, herald a new era of powerful, flexible, and sustainable machine intelligence.
We believe in an AI future that is not only more powerful but more attuned to the complexity and dynamism of the real world. Intelligent machines will have an enormous beneficial impact across the full spectrum of AI in the coming decades, and the human brain provides the blueprint for building them.
Deep neuroscience research provides the foundation for our brain-based AI work.
From our inception, Numenta has had two goals. First, to understand the human brain, and how it creates intelligence. Second, to apply these principles to enable machine intelligence.
Numenta has developed a broad framework for understanding what the neocortex does and how it does it, called the Thousand Brains Theory of Intelligence. Leveraging our achievements on the former goal, we have developed breakthrough advances in AI technology and have created a cutting-edge AI platform that can address today’s AI pain points and enable new AI categories.
In 2005, three years after founding the Redwood Neuroscience Institute, Jeff Hawkins co-founded Numenta, along with Donna Dubinsky and Dileep George. Building upon two decades of neuroscience research and a growing collection of peer-reviewed papers, Numenta has turned its focus to commercializing its brain-based AI technology.