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.
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. Our first product, Grok for IT Analytics, automatically learns changing patterns in individual servers and detects anomalies when servers behave differently from the norm. We have applied the same technology to rogue behavior detection in humans, geospatial tracking, stock volume anomaly detection 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.
Grok for IT Analytics
Detects anomalies in servers and applications. Learns continuously, automatically discovers time-based patterns in data, and generalizes from experience. You can install this product today via the AWS marketplace.
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? Read our Quickstart Guide to learn how to get started. 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.
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- Sat, May 30, 2015 10:00 AM — Sun, May 31, 2015 8:00 PM
- Cornell TechNew York City, NY USA