Brains suggest an alternate way to build AI—one that will replace deep learning as the central technology for creating artificial intelligence. Read the full article published in Fast Company.
For truly intelligent AI, we need to mimic the brain’s sensorimotor principles Read More »
Today’s cutting-edge artificial intelligence is based on neuroscience from the ‘50s and ‘60s. Imagine what A.I. could do if it incorporates the latest breakthroughs. This article originally appeared on Fortune.com.
AI Needs Neuroscience More than Ever Read More »
Six years ago, we wrote a blog about Classic AI, Simple Neural Networks, and Biological Neural Networks. Fast forward to today and it’s no surprise that the terms have continued to evolve. In this blog post, we’ll revisit these approaches, look at how they hold up today, and compare them to each other. We’ll also explore how each approach might address the same real-world problem.
The Path to Machine Intelligence: Classic AI vs. Deep Learning vs. Biological Approach Read More »
We’ve been getting a lot of questions lately as to the differences between Hinton’s GLOM model and Numenta’s Thousand Brains Theory. In this blog, we will outline the commonalities and main differences of both models at a high level.
Comparing Hinton’s GLOM Model to Numenta’s Thousand Brains Theory Read More »
In our most recent peer-reviewed paper published in Frontiers in Neural Circuits, A Framework for Intelligence and Cortical Function Based on Grid Cells in the Neocortex, we put forward a novel theory for how the neocortex works. In this updated blog about the Thousand Brains Theory of Intelligence originally published in March 2018, Jeff Hawkins and Christy Maver describe the key insights of our theory and how it compares to the classic view of the hierarchy, as well as its implications for AI.
The Thousand Brains Theory of Intelligence Read More »
Last month, Numenta released a major new theory for intelligence and cortical computation, documenting the theory in a research paper and making it available on a preprint server while it undergoes peer-review. We also created a “companion piece” to the research paper. What’s a companion piece and why did we write it? How did two non-neuroscientists write a paper about a neuroscience paper? In this blog post, we’ll take you behind the scenes to show you how and why it happened.
Why We Wrote a Paper About a Paper Read More »
Following a recent New York Times story on Numenta and co-founder Jeff Hawkins, VP of Research Subutai Ahmad lays out Numenta’s framework for Open Science and collaboration that the company has been developing over the last five years. Read the blog to learn about Numenta’s practices, some of which are standard practices at Universities and some of which are highly unusual.
A Framework for Intelligence, A Commitment to Open Science Read More »
The discovery of grid cells won the Nobel Prize in 2014, but do you know how they work? Working together in populations, grid cells create a cognitive map of space. Each cell responds to certain areas of space. Groups of grid cells called modules have the same projection properties onto space. Many grid cell modules working together can map a virtually infinite amount of space.
How Grid Cells Map Space Read More »
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.
Navigating Numenta’s Brain Theory through a Progression of Papers Read More »
The Brain Science Podcast features recent discoveries about neuroscience and interviews with scientists around the world. In this episode of the Brain Science Podcast, Jeff Hawkins explains how our latest research uncovers a key feature of cortical function that has been completely missed: a location signal.
Brain Science Podcast: Jeff Hawkins Explores a New Theory of Cortical Function Read More »