This section of the site is dedicated to providing information about artificial intelligence (AI) including articles, tutorials, code samples and links to external sites.

Articles

• Introduction to Neural Networks
  This article is a simple introduction to neural networks. It discusses the structure, organization, and functionality of biological neural networks and how artificial neural networks are abstracted from them. It provides background information necessary to understanding neural network algorithms and code that will be presented in future articles.
• Neural Networks: The Node
  The first in a series of articles about artificial neural networks, this installment introduces the basic building block of all neural networks: the artificial neuron, or node. It covers inputs and weights, activation, transfer functions and McCulloch-Pitts neurons.
• Neural Networks: Architecture & Learning
  "Architecture & Learning" provides an overview of neural network architecture including feed-forward and recurrent networks. It also introduces the principles behind network learning, learning paradigms, and factors that influence network design.

External Resources

General Links

• MIT Computer Science and AI Labratory (CSAIL)
  In the summer of 2003, the Laboratory for Computer Science (LCS) and the Artificial Intelligence Laboratory (AI) at MIT merged to form CSAIL whose primary objective is research in both computation and artificial intelligence.
• Numenta
  Founded by Jeff Hawkins and Donna Dubinsky of Palm Computing and Handspring, Numenta is developing a memory system called Hierarchical Temporal Memory (HTM) which is based on the human neocortex.