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Neural Simulator for AGI research and development

Home Page: http://brainsim.org

License: MIT License

C++ 3.92% Python 0.47% C 0.11% C# 92.43% RobotFramework 1.23% NSIS 1.28% Batchfile 0.55%

brainsimii's Introduction

BrainSimII

Neural Simulator for AGI research and development

I appreciate your interest in this project and hope your experience will be positive. There are many ways to participate at all levels of AI ability. As a first-timer, you can download a release, try things out, report any bugs, and make a few suggestions. At the other end of the spectrum, you can dive into the code, create modules and training sets. and more.

Brain Simulator II is a free, open-source software project aimed at creating Artificial General Intelligence (AGI). Many important features set it apart from other Artificial Intelligence software:

  1. The AGI Strategy. With the primary assumption that no one knows specifically how to create AGI, the Brain Simulator implements an experimental platform with a general AGI model which is easy to revise. Several spiking neuron models based on biological neurons combine with software “Modules” to create any desired functionality for rapid experimentation.
  2. The User Interface. The graphical display of neurons and Modules lets users explore and modify the internal workings of the Network in real time.
  3. The Powerful Spiking Neuron Engine. Tested with a billion neurons, the Brain Simulator can process up to 2.5 billion synapses per second on a desktop computer. Networks can also be distributed across a LAN with estimates of neocortex equivalence with only 160 servers.
  4. Software Modules and Applications. To speed AGI development, over 50 Modules perform a variety of AI tasks. Combined with the Neuron Engine, applications already demonstrate vision, mobility, internal modelling, and planning.

The Brain Simulator implements an artificial entity named “Sallie” who lives in a simulated world and can integrate input from multiple senses. She can recognize objects with binocular vision and associate them with words she hears, plan a sequence of actions, and manipulate objects to achieve a goal. As she advances to understanding her world, interfaces already exist for cameras, microphones, and robotic control to bring AGI to life.

Again, thanks for your interest! Charlie Simon, originator of the Brain Simulator

brainsimii's People

Contributors

futureaiguru avatar kevinfutureai avatar

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