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Neuromorphic Chip Modeling Dendritic Spikes Debuts at NICE
March 14, 2018
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.”
Berkeley Brings Brain Theory Conference to the Bay
March 05, 2018
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.
Navigating Numenta’s Brain Theory through a Progression of Papers
January 08, 2018
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.
Brain Science Podcast: Jeff Hawkins Explores a New Theory of Cortical Function
November 27, 2017
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.
The Secret to Strong AI
November 14, 2017
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.
Today’s Weak AI Lacks Intelligence
October 25, 2017
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.