The Biological Path Toward STRONG AI
Matt TaylorNumenta
OS Community Manager Principal Engineer
Summary• Intelligence, Weak and Strong
• Some minor brain science
• Hierarchical Temporal Memory (HTM)
• Sparse Distributed Representations
• HTM Algorithms
• Encoding
• Spatial Pooling
• Temporal Memory
– ROBERT MCMILLAN (from a Wired article title, 01.16.15)
“AI Has Arrived”
– me, just now
“Weak AI Has Arrived”
Weak AI ≠
Intelligence
What is Strong AI?
Wikipedia requirements for AGI:
Weak AI won’t produce Intelligence
Realistic Neurons
Numenta’s Dual Mission
1. Understand how intelligence works in the mammalian neocortex
2. Create software based upon those principles
To create intelligence, study what we know is
intelligent today
Let’s talk about brains
Let’s talk about brains
Let’s talk about brains
HTM is an evolving theory of intelligence based
upon this neuron model
• capacity • matching
Sparse Distributed Representations
EncodersExample: Date Encoding
• proximal feedforward input activates mini-columns • normalizes sparsity of encoded representation • maintains semantic meaning of representations
Spatial Pooling
• identifies context of input based upon distal segments • works within mini-column cells • puts cells into predictive states for next time step
Temporal Memory
These are just the foundational components of neocortically-inspired
intelligence
It’s all open source
Join our community
numenta.org
Thanks for watching
Matt Taylor [email protected]