Modeling Computers after the human brain
Found a very interesting article about Hierarchical Temporal Memory(HTM). The HTM platform is a completely new way of attempting to program artificial intelligence in a computer. Rather than attempt to program the computer to handle each task needed, the researchers of a company called Numenta have come up with a way to program machines to learn based on sensory data. The most interesting thing about it, is that the models they are using are all based off of research into how the neocortex of the human brain learns. Most of the article was over my head, but I understood enough of it to actually finish reading the entire thing (all 6 pages of it).
Check out the article at IEEE Spectrum: Why Can't A Computer Be More Like A Brain?
Found via SlashDot: Building Brainlike Computer and www.polarman.com
Labels: Artificial Intelligence, Brain
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