Scientists have long turned to nature for inspiration and innovation. From unlocking the secrets of spider silk to create super-strong materials to taking hints from geckos for new adhesives, clues from the natural world ...
Engineering
Mar 8, 2011
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For all the work that's gone into developing educational media, even the most stimulating TV shows and video games leave kids stationary. Researchers at the MIT Media Laboratory are hoping to change that with a system called ...
Computer Sciences
Nov 22, 2010
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(PhysOrg.com) -- Rats and robots can tell us how the brain maps out familiar environments and navigates in them, Queensland University of Technology robotics researchers have found.
Engineering
Nov 12, 2010
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Dr. Robert Wood of Harvard University is leading the way in what could become the next phase of high-performance micro air vehicles for the Air Force.
Engineering
Sep 15, 2010
4
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The replacement of humans by machines in the workplace took another step on Wednesday, as Japanese researchers unveiled a model they hope could lead to humanoid menial workers.
Robotics
Sep 15, 2010
22
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Software that enables robots to move objects about a room, building up ever-more knowledge about their environment, is an important step forward in artificial intelligence.
Robotics
Aug 24, 2010
16
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Despite their tiny brains, bees have remarkable navigation capabilities based on their vision. Now scientists have recreated a light-weight imaging system mimicking a honeybee's field of view, which could change the way we ...
Engineering
Aug 6, 2010
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Robots are breaking barriers: Long banished behind steel barriers, they are entering new fields of application such as the manufacturing, household and healthcare sectors. The requisite safety can be provided by a tactile ...
Engineering
Jul 1, 2010
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A swarm of flying robots soars into a blazing forest fire. With insect-like precision and agility, the machines land on tree trunks and bound over rough terrain before deploying crucial sensors and tools to track the inferno ...
Robotics
Jun 29, 2010
0
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A team of bioengineers from the University of Pennsylvania Institute for Medicine and Engineering have trained a computer neural network model to accurately predict how blood platelets would respond to complex conditions ...
Biotechnology
Jun 20, 2010
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