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Future AI Videos

About Brains & AGI

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Caution: Robot Crossing

ntroducing the Robot controlled by spiking neurons of the Brain Simulator general intelligence project.

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AGI: Seeing Motion

Detecting motion is pretty easy but detecting the direction of motion is harder and detecting moving objects while your viewpoint is moving is hardest of all.

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How to Create AGI

This video outlines the assumptions, major modules, and expectations for the AGI project I am working on--creating 'The Brain Simulator II'.

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AGI Needs Robots

AGI is unlikely to emerge from a system which can’t interact with a real world over time, hence the need for robots.

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About the Brain Simulator II

Complete Video List.

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How Your Brain Works

Complete Video List.

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Brain Simulator II Short Topics

Complete Video List.

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About the Universal Knowledge Store

Complete Video List.

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AGI: The Perception Pipeline

Perception represents about half of the AGI problem, the other half being planning and acting on what is perceived. This video shows many of the steps necessary to perception as they are implemented in the Brain Simulator.

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Recognition: A Major Step Toward AGI

Briefly demonstrates image recognition and association with words in the Universal Knowledge Store

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Will Computers Revolt - Book Interview with Charles Simon

Interviews on the Robot Optimised ROI Podcast with Philip Eglish

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Brain Simulator II Project OverviewA is for AGI

introduces the AGI development strategy for the project and the current state of software development including the snappy User Interface, the Powerful Neuron Engine, and the Modules and AGI Test Applications..

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Multiserver Functions with Brain Simulator II

How the Brain Simulator II works in a multi-server environment. Synapses which cross boundaries between machines are automatically sent via the private network.

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Brain vs. Computer: Debunked

You’ve seen estimates of when computers will surpass the human brain. This video shows why most of these estimates are OFF BASE.

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Brain Simulator II Tops 2.5 Billion Synapses Per Second

This video shows how the Brain Simulator II achieves huge performance by firing 2.5 billion synapses per second and shows how you can replicate this benchmark on your own computer.

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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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AGI: Sooner than you think

Explains why there is a good chance that intelligent computers (AGI) will emerge sooner than most people think.

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Overview of Brain Simulator II

A quick tutorial.

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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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Will Computers Revolt?

When will we have intelligent computers and what will happen? This video describes four possible scenarios between mankind and our silicon counterparts. It's time to start addressing these issues as intelligent machines may be with us in as soon as ten years.

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Creating Artificial General Intelligence (AGI)

Introduces Eight Elements of Intelligence which are necessary for a computer (or person) to appear to be generally intelligent.

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How Your Brain Works ...in 5 Minutes

Everything we know about how you think!

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How Your Brain Works Part 1

Begins a series describing different things your brain can do and relating them to Artificial General Intelligence. This video describes how knowledge in your brain can be retrieved even though your brain has no memory addressing system.

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How Your Brain Works Part 2 Neurons

The neuron, the basic component of the brain, is a complex chemical device with lots of specialized molecules. On the other hand, its computational function may be represented fairly simply.

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How Your Brain Works Part 3: Computational Capacity

How big a computer would it take to equal the power of your brain? What would it cost? When could you have one? Watch this video to find out

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How Your Brain Works Part 4: Input and Output Processing

In considering how to implement AGI, one good place to start is by defining the available inputs and desired outputs in terms of the human intelligence we'd like to equal.

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How Your Brain Works Part 5: The Reality Model

Your brain maintains an internal model of the reality which surrounds you and this model is essential to your understanding of your environment.

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How Your Brain Works Part 6: Imagination

We all have an imagination and this video explains how this might work in your brain and be implemented in AGI.

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How Your Brain Works Part 7: Planning

One of the human brain's most remarkable abilities allows it to consider the future and act accordingly. This video present a mechanism which could underlie this ability.

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How Your Brain Works Part 8: Goals & Motor Control

This video rounds out the model of How Your Brain Works with two lower-level functions which are necessary to our brain being useful.

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Short: Navigating a Maze

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Short: Neurons

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Short: Single-spike Conversion

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Short: Short-Term Memory with Neurons

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Short: Imagination

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Short: Vision

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Short: Moveable Objects

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Do You Love Me?

Dancing Robots from Boston Dynamics

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RobotViolinist

Violin-playing robot from Toyota

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Robot Revolution on DT Daily

Is the robot revolution happening? On today's show, we talk with our Emerging Technologies Editor, Drew Prindle, as well as the writer of Will Computers Revolt?, Charles J. Simon, about preparing for the future of artificial intelligence.

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