| Title:
| New Insight Into How Bees See Could Improve Artificial Intelligence Systems
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| Description:
| New research from Monash University bee researcher Adrian Dyer could lead to improved artificial intelligence systems and computer programs for facial recognition. ... Dr Dyer said the research could be applied in the areas of new technology, particularly the development of imaging systems. "What we have shown is that the bee brain, which contains less than 1 million neurons, is actually very good at learning to master complex tasks. Computer and imaging technology programmers who are working on solving complex visual recognition tasks using minimal hardware resources will find this research useful," Dr Dyer said. "Most current artificial intelligence (AI) recognition systems perform poorly at reliably recognising faces from different viewpoints. However the bees have shown they can recognise novel views of rotated faces using a mechanism of interpolating or image averaging previously learnt views."
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| Author:
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| Orig. Date:
| January 26, 2009
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| Source:
| Science Daily. Adapted from materials provided by Monash University.
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| Subject:
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| Contributor:
| Bruce Buchanan
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| Comments:
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| Type:
| Text
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| Language:
| English
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| Format:
| htm
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| Last Edit:
| Sun, 08 Feb 2009 14:52:31 -0800
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