In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
In this Q&A, we talked to the Viviane Clay, director of the Thousand Brains Project, Numenta’s new open-source research initiative.
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.”
Earlier this year, the Simons Institute at Berkeley kicked off a new program called The Brain and Computation. Numenta research engineer Scott Purdy attended the workshop, Representation, Coding and Computation in Neural Circuits, and shares how the workshop relates to Numenta’s brain theory in this blog.
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.
How does Numenta’s theory compare to Geoffrey Hinton’s capsule theory? Subutai Ahmad, Numenta VP Research, shares his thoughts and breaks down the similarities and differences in this blog comparing HTM and capsules.
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.
AI techniques, such as deep learning and convolutional neural networks, have made stunning advancements in image recognition, self-driving cars, and other difficult tasks. Yet, leading AI researchers realize something is not right. In this piece, Jeff Hawkins writes about the “missing ingredient” for strong AI.