Future AI Videos

AGI20 Presentation: Brain Simulator II

Introduces the open-source software project, Brain Simulator II, simplifying experimentation into various facets of AGI

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Brain Simulator adds Firing History

This brief video describes two new features of the current interim build of the Brain Simulator: Neuron Firing History and Improved Simulation.

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Brain Simulator Overview

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How Sallie Learns with Reinforcement Learning

Reinforcement Learning without backpropagation is added to the Universal Knowledge Store.

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How Sallie Learns by imitation

This video explains and demonstrates how the Brain Simulator’s artificial entity, Sallie, learns to say phrases, words, and phonemes using baby-talk. By hearing the syllables she says, over time she can build the internal connections to speak more and more accurately.

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How Sallie Learns & the Universal Knowledge Store

The associative learning algorithm lets Sallie learn words associated with things she sees.

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Brain Simulator II: The Universal Knowledge Store pt.2

Internal information in the Universal Knowledge Store.

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Brain Simulator II: The Universal Knowledge Store pt.1

Adds the Universal Knowledge Store to 'Sallie'.

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Brain Simulator II: Touch, Vision, and the Mental Model

Adds Vision, Touch, and an internal Mental Model to the 'X-Entity'.

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Brain Simulator II: Introducing the X-Entity

Introducing the 'X-Entity'. Showing interesting behaviors from even the simplest model and forming a basis for expansion with Vision, Learning, Knowledge, and Planning on the pathway towards artificial general intelligence.

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Brain Simulator II: An Alternative Learning Approach

How to build a spiking network which can do associative learning. This alternative to backpropagation highlights how a Hebbian Learning system can work with a spiking neuron model.

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Brain Simulator II: 5/2019 Development Update

Summarizes the present state of development on this AGI development project. Although still in its early phases, the project is beginning so show interesting features.

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Brain Simulator II: Representing Knowledge in Neurons

How do you implement a knowledge graph in neurons? This video shows a graph with multiple relationships--on the simulated neurons of Brain Simulator II.

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Brain Simulator II: Capabilities and Limitations of Neurons

Neurons have a difficult time with sequential or ordered information and this video shows how these limitations can be overcome with more complex networks.

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Brain Simulator II: Software Modules for Complex Functions

While I can use the Brain Simulator with the neuron model, complex functions are more easily created in code behind a rectangular or linear array of neurons.

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Brain Simulator II: The Basic Neuon Model

The Brain Simulator functionality can be controlled on an individual neuron/synapse level or by programming which can control areas of neurons.

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Introducing the Brain Simulator II

This video introduces the Brain Simulator Project which implements an array of millions of simple neurons on a desktop computer. The intent is to create an end-to-end Artificial General Intelligence.

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