Developers can easily build and deploy hierarchical temporal memory (HTM) systems with Nupic.co, an open source machine intelligence platform based on neuroscience research.
Nupic.co is an open source machine intelligence platform that implements hierarchical temporal memory (HTM), a theoretical framework based on neuroscience research into how the neocortex works. HTM aims to capture some properties of the neocortex including hierarchy, sparse distributed representations, temporal learning, and memory.
The Nupic platform allows developers and researchers to easily build and deploy applications and systems using HTM. It includes an implementation of HTM algorithms, APIs for using HTM in applications, tools for exploring and visualizing HTM systems, and documentation and tutorials.
Some potential use cases for Nupic include anomaly detection, predictive analytics, pattern recognition, sequence learning, and classification problems across domains like IT operations, finance, healthcare, IoT, and more. The code is reusable and extensible to support innovating on new HTM algorithms and techniques.
Nupic is compatible with Python and is open source under a permissive license, encouraging collaboration and contributions from the community. Organizations like Cray and researchers are using Nupic to build practical HTM systems and advance the state of the art in machine intelligence.
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