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  • Numenta Publishes a New Theory on Sensorimotor Inference
    Numenta Publishes a New Theory on Sensorimotor Inference

    In the Numenta Columns paper, they proposed a theory for how the brain learns models of objects through movement. The theory is an important piece of their goal to reverse-engineer the neocortex. In a blog titled "The Secret to Strong AI" on Medium, Jeff Hawkins describes the importance of the new theory to AGI....

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  • Numenta Demonstrates HTM Results on Real-time Anomaly Detection
    Numenta Demonstrates HTM Results on Real-time Anomaly Detection

    Neuroscience and machine intelligence researchers at Numenta reveal Hierarchical Temporal Memory (HTM)'s results on real-time anomaly detection. They have described the technique in a new peer-reviewed paper, Unsupervised real-time anomaly detection for streaming data, published in a special issue of Neurocomputing....

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  • New Numenta Paper Compares HTM to Machine Learning Techniques
    New Numenta Paper Compares HTM to Machine Learning Techniques

    Numenta's paper, "Continuous Online Sequence Learning with an Unsupervised Neural Network Model", looks at Numenta's HTM vs. other machine learning techniques, including RNNs like LSTM and echo-state networks. The paper was published in MIT Press' Neural Computation journal....

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  • Numenta Releases HTM Studio for Anomaly Detection
    Numenta Releases HTM Studio for Anomaly Detection

    Numenta has released HTM Studio for anomaly detection, a desktop tool that makes it easy for businesses to experiment with advanced machine intelligence algorithms to uncover anomalies in their streaming data....

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  • Numenta Researchers Discover How The Brain Learns Sequences
    Numenta Researchers Discover How The Brain Learns Sequences

    Numenta has published a new theory that represents a breakthrough in understanding how networks of neurons in the neocortex perform sequence learning. Their paper, "Why Neurons Have Thousands of Synapses, A Theory of Sequence Memory in Neocortex", has been published in the Frontiers in Neural Circuits Journal....

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