Saturday, February 11, 2006
[evomech] Biology inspires perceptive machines (PhysOrg]
[PhysOrg, Feb '06]
Biology inspires perceptive machines
Teaching a machine to sense its environment is one of the most intractable problems of computer science, but one European project is looking to nature for help in cracking the conundrum. It combined streams of sensory data to produce an adaptive, composite impression of surroundings in near real-time.
The team brought together electronic engineers, computer scientists, neuroscientists, physicists, and biologists. It looked at basic neural models for perception and then sought to replicate aspects of these in silicon.
"The objective was to study sensory fusion in biological systems and then translate that knowledge into the creation of intelligent computational machines".
Full text at:
http://www.physorg.com/news10712.html [PhyOrg]
http://istresults.cordis.lu/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/80430 [IST]
John
Model of an Internal Evolutionary Mechanism:
http://members.aol.com/jorolat/index.html
Please Note: If you are reading this in a Blog then replying directly to this message (as opposed to making a 'blog comment') requires membership of the 'Evolution: Where Darwin meets Lamarck?' Egroup at:
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Biology inspires perceptive machines
Teaching a machine to sense its environment is one of the most intractable problems of computer science, but one European project is looking to nature for help in cracking the conundrum. It combined streams of sensory data to produce an adaptive, composite impression of surroundings in near real-time.
The team brought together electronic engineers, computer scientists, neuroscientists, physicists, and biologists. It looked at basic neural models for perception and then sought to replicate aspects of these in silicon.
"The objective was to study sensory fusion in biological systems and then translate that knowledge into the creation of intelligent computational machines".
Full text at:
http://www.physorg.com/news10712.html [PhyOrg]
http://istresults.cordis.lu/index.cfm/section/news/tpl/article/BrowsingType/Features/ID/80430 [IST]
John
Model of an Internal Evolutionary Mechanism:
http://members.aol.com/jorolat/index.html
Please Note: If you are reading this in a Blog then replying directly to this message (as opposed to making a 'blog comment') requires membership of the 'Evolution: Where Darwin meets Lamarck?' Egroup at:
http://groups.yahoo.com/group/evomech/
technorati tags: biology, intelligent+machines, adaptive, computer+science
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