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.

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Experience HTM through our example application.
Grok for Stocks detects anomalies in companies based on stock and Twitter data. Try it for free.

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.

Progress

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.

Technology

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.

Applications

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.

  • Grok for Stocks

    Grok for Stocks Screenshot

    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

    Grok for IT Analtyics Screenshot

    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

    Rogue Behavior Detection Screenshot

    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.

  • Geospatial Tracking

    Geospatial Tracking Screenshot

    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.

Get Started

Developers

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.

Business

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.

For videos and whitepapers, go to our Learning Center.

Blog

Image Winner of HTM Contest at Yale Winner of HTM Contest at Yale
Donna Dubinsky Image Donna Dubinsky CEO
0

This past month, Numenta sponsored a contest at Yale University, in collaboration with the Yale Entrepreneurial Ins

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Press

Image Numenta And IBM To Build Biologically Inspired Intelligent Machines Numenta And IBM To Build Biologically Inspired Intelligent Machines
Alex Alaniz Image Alex Alaniz Science 2.0

When we catch balls, Jeff Hawkins, cofounder of Numenta and author of “On Intelligence,” tells us we aren’t solving

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Events

Image Compute Midwest 2015 - Imagine the Future Compute Midwest 2015 - Imagine the Future
Jeff Hawkins Image Jeff Hawkins Co-Founder
When
Thu, Oct 22, 2015 — Fri, Oct 23, 2015
Where
TBD
Kansas City, MO USA
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Newsletters

Image July 2015 Newsletter: Announcing Grok for Stocks - Open Source Example HTM App July 2015 Newsletter: Announcing Grok for Stocks - Open Source Example HTM App
Donna Dubinsky Image Donna Dubinsky CEO

Over the last two years, we have created a series of example applications that illustrate the capabilities of HTM.

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