May 18 2016
This is the second article in the series about artificial neural networks. If you have not already done so, I recommend you read the first article, “Neural Networks: The Node“, before proceeding. It covers material that should be understood before attempting to tackle the topics presented here and in future articles in this series. There …
May 08 2016
As I covered previously in “Introduction to Neural Networks,” artificial neural networks (ANN) are simplified representations of biological neural networks in which the basic computational unit known as an artificial neuron, or node, represents its biological counterpart, the neuron. In order to understand how neural networks can be taught to identify and classify, it is first …
Mar 10 2016
Modeled after observed biology and behavior within the brain, neural networks are arguably the most popular of the biologically inspired AI methods. Neural networks excel at pattern recognition and classification tasks including facial, speech, and handwriting recognition. They also often play a central role in video game character AI.
Nov 05 2005
MIT has published a news release about how neuroscientists in the McGovern Institute for Brain Research have recently made significant advances in their attempts to learn how the inferotemporal (IT) cortex identifies and categorizes visual data. The ability to visually recognize objects, while usually taken for granted because it happens quickly, automatically, and subconsciously, is …
