HTM

A Machine Learning Guide to HTM (Hierarchical Temporal Memory)

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Numenta Visiting Research Scientist Vincenzo Lomonaco, Postdoctoral Researcher at the University of Bologna, gives a machine learner’s perspective of HTM (Hierarchical Temporal Memory). He covers the key machine learning components of the HTM algorithm and offers a guide to resources that anyone with a machine learning background can access to understand HTM better.

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Q&A with Bill Zemlak, CEO of Intelletic Trading Systems (ITS)

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Intelletic Trading Systems LLC (ITS) became a commercial licensee of Numenta in May 2018. They use HTM to develop a fully autonomous trading platform for futures and other financial instruments. In this post, Christy Maver interviews Bill Zemlak, the CEO of ITS, about how they’re using HTM, the results they’ve seen so far, and what’s ahead for the company.

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Replicating Scientific Results: Numenta’s New GitHub Repository for Research Papers

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We understand the struggle of replicating scientific results. That’s why we created a new repository, where we’ve organized our code by the names of our papers. In this blog, Luiz Scheinkman walks through our new repository, which he describes as a standardized guide for those who want to use our technology.

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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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MLconf Interview with Austin Marshall

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MLconf Technical Chair, Nick Vasiloglou, recently interviewed Numenta engineer, Austin Marshall, about HTM and our approach in machine learning. In their conversation, Nick asks Austin about a variety of topics – from AI to reinforcement learning to how HTM differs from deep learning.

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Numenta at the Computational and Systems Neuroscience Conference (COSYNE)

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Earlier this month, I attended the annual Computational and Systems Neuroscience meeting (Cosyne) in Salt Lake City. Cosyne is a peer reviewed scientific conference that brings experimental and theoretical neuroscientists together to exchange data and ideas.

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