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"Army ants form colonies of millions yet have no permanent home. They march through the jungle each night in search of new foraging ground. Along the way they perform logistical feats that would make a four-star general proud, including building bridges with their own bodies. Much like the swarms of cheap, dumb robots that I explored in my recent article, army ants manage this coordination with no leader and with minimal cognitive resources." 
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"Researchers from the University of Granada (UGR) have designed an algorithm, inspired by the intelligent and social behavior of bee colonies, which allows law enforcement to attack and dismantle any type of social network that poses a threat, whether physical or virtual, such as social networks linked to organized crime and jihadist terrorism."
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Mechanical engineers at the Babol University of Technology in Mazandaran, Iran, have turned to nature to devise an algorithm based on the survival trials faced by salmon swimming upstream to the spawning grounds to help them fish out the optimal solution to a given problem.
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Computer engineers study the mathematics of how to optimize complex systems. In one example, they face a logistics challenge known as the "travelling salesman problem:" how can a hypothetical salesperson visit every city on their route in the shortest distance? The algorithms developed to answer these sorts of questions are useful in many situations, such as reducing the costs of and pollution from a fleet of delivery trucks. But when engineers tried to optimize traffic on the internet, they found their methods wanting. [...] Honeybees don't study mathematics, but the demands of evolution reward those colonies that succeed in optimizing their resources. Fortunately, in the strange tale of how honeybees make the internet work, the scientists were smart enough to see that the honeybees knew better than they did.
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"Carnegie Mellon University is embarking on a five-year, $12 million research effort to reverse-engineer the brain, seeking to unlock the secrets of neural circuitry and the brain's learning methods. Researchers will use these insights to make computers think more like humans."
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