News & Updates

Publishing, Peer Review and Preprints: Numenta’s Strategy for Sharing Science

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Occasionally we receive questions about our publishing strategy, such as why we share papers that have not yet been published in a scientific journal, or what is our stance on open science. Our co-founder, Jeff Hawkins, recently responded to a question about this topic that was posted on our HTM Forum. For those of you who are not active there, you can read a consolidated version of Jeff’s thoughts in this post.

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Numenta On Intelligence–Our New Podcast Series

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Numenta has launched a new podcast series called Numenta On Intelligence-a monthly podcast about how intelligence works in the brain, how to implement it in non-biological systems and how to think about the implications. VP of Marketing Christy Maver describes the new podcast and how to subscribe to it in this blog post.

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The 2018 Machine Intelligence Landscape: A New Look at MI vs ML vs DL vs AI

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In 2016, Numenta co-founders Jeff Hawkins and Donna Dubinsky wrote a blog about the three major approaches to building machine intelligence: Classic AI, Simple Neural Networks, and Biological Neural Networks. This piece revisits each one and looks at the machine intelligence landscape today. Discover the state of the art, compare and contrast approaches, and understand fundamental limitations. Read why brain theory will be the future of machine intelligence.

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Neuromorphic Chip Modeling Dendritic Spikes Debuts at NICE

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Neuromorphic chips, which emulate neurons in silicon, are essentially the hardware for the future of AI. The Human Brain Project’s Neuromorphic team recently unveiled a chip called BrainScaleS-2 that models neurons consistent with the model described in our 2016 paper “Why Neurons Have Thousands of Synapses.”

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Navigating Numenta’s Brain Theory through a Progression of Papers

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Numenta has two missions: reverse-engineer the neocortex to understand how we learn and behave and enable technology based on brain theory. Our progress to date can be summarized by two important discoveries. Here’s a summary of Numenta’s brain theory, as explained by Christy Maver.

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Today’s Weak AI Lacks Intelligence

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This blog by Matt Taylor compares today’s weak AI to strong AI, or AGI. While Deep Learning and other ANN-based methods are useful, he believes that the path to strong AI is a biological one. At Numenta, we aim to understand how intelligence works in the cortex and create new intelligent systems using those principles.

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IEEE Spectrum Article

New Article by Jeff Hawkins Appears in IEEE Spectrum Special Report

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In a special issue of IEEE Spectrum, Jeff Hawkins writes an article “What Intelligent Machines Need to Learn from the Neocortex”, where he discusses biologically based intelligent machines and the far reaching implications of machine intelligence. This blog contains an interview with Jeff about the piece.

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Pressing the Pause Button for Numenta’s First Internal Hackathon

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One of our engineers had an idea: What if we could dedicate a day or two to work on a Numenta project that may be outside our day-to-day responsibilities? From that, the first Numenta Internal Hackathon was born. This blog talks about the projects and activities that occurred on the day of the hackathon.

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Numenta’s Visit to Neuroscience Labs at MPFI and UNC

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Numenta researcher Yuwei Cui recounts his visits with our VP of Research Subutai Ahmad to the neuroscience labs at the Max Planck Florida Institute of Neuroscience and the University of North Carolina, where they had fruitful discussions with experimental neuroscientists and researchers.

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