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ODSC (Open Data Science Conference) West 2018

Matthew TaylorMatthew TaylorOpen Source Community Manager
ODSC (Open Data Science Conference) West 2018
WhenWed, Oct 31, 2018 — Sat, Nov 03, 2018
Where
Hyatt Regency SFO
San Francisco, CA USA
WebEvent Website
TopicThe Biological Path Towards Strong AI
SpeakingMatthew Taylor

Abstract:

Today’s wave of AI technology is still being driven by the ANN neuron pioneered decades ago. Hierarchical Temporal Memory (HTM) is a technology based on a realistic biologically-constrained model of the pyramidal neuron that reflects today’s most recent neocortical research. This talk will describe and visualize core HTM concepts like sparse distributed representations, spatial pooling and temporal memory. Strong AI is a common goal of many computer scientists. So far, machine learning techniques have created amazing results in narrow fields, but haven’t produced something we could all call “intelligent”. Given recent advances in neuroscience research, we know a lot more about how neurons work together now than we did when ANNs were created. We believe systems with a more realistic neuronal model will be more likely to produce Strong AI. Hierarchical Temporal Memory is a theory of intelligence based upon neuroscience research. The neocortex is the seat of intelligence in the brain, and it is structurally homogeneous throughout. This means a common algorithm is processing all your sensory input, no matter which sense. We believe we have discovered some of the foundational algorithms of the neocortex, and we’ve implemented them in software. I’ll show you how they work with detailed dynamic visualizations of Sparse Distributed Representations, Spatial Pooling, and Temporal Memory.

Matthew TaylorMatthew TaylorOpen Source Community Manager