Hierarchical Temporal Memory (HTM)

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• Temporal Computing
• Hierarchical Clustering; Agglomerative (HAC) & Divisive (HDC)
• Hierarchical Cluster Analysis (HCA)
• Embedding ... Fine-tuning ... RAG ... Search ... Clustering ... Recommendation ... Anomaly Detection ... Classification ... Dimensional Reduction. ...find outliers
• An Alternative to Deep Learning? Guide to Hierarchical Temporal Memory (HTM) for Unsupervised Learning | Tavish Srivastava
• Numenta HTM School
• Hierarchical Temporal Memory for Real-time Anomaly Detection | Ihor Bobak
• Numentra - Where Neuroscience Meets Machine Intelligence
• Hierarchical Temporal Memory (HTM) School | Matt Taylor - Numentra
• Numenta.org
• Biological and Machine Intelligence (BAMI)

Hierarchical Temporal Memory (HTM) are learning algorithms that can store, learn, infer, and recall high-order sequences. Unlike most other machine learning methods, HTM continuously learns (in an unsupervised process) time-based patterns in unlabeled data. HTM is robust to noise, and has high capacity (it can learn multiple patterns simultaneously). Wikipedia