Leading the New Era of Machine Intelligence
Numenta has developed a cohesive theory, core software technology, and numerous applications all based on principles of the neocortex. This technology lays the groundwork for the new era of machine intelligence. Our innovative work delivers breakthrough capabilities and demonstrates that a computing approach based on biological learning principles will make possible a new generation of capabilities not possible with today’s programmed computers.
Win Big with the #HTMChallengeYou’re invited to our online contest for creating real world applications with HTM.
Submit an entry or simply join in the fun at our onsite challenge event Saturday, Nov 14. http://htmchallenge.devpost.com
What Is Machine Intelligence?
Because today’s computers are programmed, they can only do exactly as they are told. In stark contrast, intelligent machines continuously and automatically learn patterns in their environment without being programmed, enabling them to tackle problems in entirely new ways. Intelligent machines that learn and act will have an enormous beneficial impact in the coming decades.
Brain as a Blueprint
The brain is the best example of an intelligent system and provides a roadmap for building intelligent machines. The brain’s center of intelligence, the neocortex, controls a wide range of functions using a common set of principles. Numenta has made significant progress discovering these principles and using them to create learning algorithms. Numenta is unique in its understanding and adherence to neocortical principles.
Numenta’s extensive technology has been validated in a wide range of applications. We have applied HTM technology to IT analytics, stock volume and Twitter monitoring, rogue behavior detection in humans, geospatial tracking, and a variety of text analytics problems.
Our machine intelligence technology is called Hierarchical Temporal Memory (HTM), which is a detailed computational theory of the neocortex. At the core of HTM are time-based learning algorithms that store and recall spatial and temporal patterns. HTM is well suited to a wide variety of problems, particularly those with the following characteristics:
Our technology has been tested and implemented in software, all of which is developed with best practices and is suitable for deploying in commercial applications. Our core learning algorithms are fully documented and available in an open source project called NuPIC.
Like the brain, Numenta’s machine intelligence technology can be applied to many types of problems. We have tested it on a variety of applications to validate its broad applicability. A few of these applications are described below.
HTM for Stocks
Detects anomalies in publicly traded companies. Models stock price, stock volume, and Twitter volume related to top market companies. Get example application via Google Play Store, and register to give feedback.
Grok for IT Analytics
Rogue Behavior Detection
Models normal behavior of individuals. Detects changes in behavior indicative of unauthorized file access or unauthorized trading. You can experiment with this application using your own data by downloading our sample application code below.
Detects anomalies in the movement of people, objects, or material using speed and location data. Enables logistics optimization. You can experiment with this application using your own data by downloading our sample application code below.
Interested in exploring our technology or developing your own application? Our machine intelligence algorithms, encoders, and application code are all available on NuPIC (Numenta Platform for Intelligent Computing), our open source project.
Numenta aims to make it easy for business to develop and distribute applications that harness the power of our machine intelligence technology. Learn about licensing opportunities below or contact Numenta to inquire about potential partnerships.
Numenta has held five hackathons over the past several years to engage our community of dedicated and passionate HTRead More ▶
Machine learning has the potential to transform the way IT is managed by applying automation at an unprecedented leRead More ▶
- Wed, Oct 07, 2015 — Fri, Oct 09, 2015
- GSVlabsRedwood City, CA USA
To start with, I’m pleased to announce that we have a paper accepted on the Numenta Anomaly Benchmark (NAB). I’veRead More ▶