hierarchical temporal memory: computing like the brain - matt taylor, numenta

Hierarchical Temporal Memory

Computing Like the BrainMatt Taylor

Principle Engineer Open Source Community Flag-Bearer

– ROBERT MCMILLAN (from a Wired article title, 01.16.15)

“AI Has Arrived”

Machine Learning ≠

Intelligence

Oriol VinyalsStaff Research ScientistGoogle DeepMind

Neuron Models

Current ML techniques based upon this simple neuron model

probably won’t produce strong AI

Numenta’s Dual Mission

1. Understand how intelligence works in the mammalian neocortex

2. Create software based upon those principles

Biologically-constrained methods of creating

intelligence might produce strong AI

Hopefully you are hear to learn about another approach to intelligence, based on the

neocortex.

Let’s talk about brains

Let’s talk about brains

Let’s talk about brains

Sparse Distributed

Representations

• each bit represents a neuron • on == neuron is active • each bit has semantic meaning

Encoding data into SDRs

with semantic meaning

Spatial Pooling

Temporal Memory

These are just the foundational aspects of neocortically-inspired

intelligence

This is the future of AI

intelligent machines

HTM School

It’s all open source

Join our community

Help build truly intelligent machines

discourse.numenta.org

LeCun

Ng

Bengio

Hinton

Jeff Hawkins