Cornell engineers solve a biological mystery and boost artificial intelligence
ITHACA, N.Y. – By simulating 25,000 generations of evolution within computers, Cornell University engineering and robotics researchers have discovered why biological networks tend to be organized as modules – a finding that will lead to a deeper understanding of the evolution of complexity. (Proceedings of the Royal Society, Jan. 30, 2013.)
The new insight also will help evolve artificial intelligence, so robot brains can acquire the grace and cunning of animals.
From brains to gene regulatory networks, many biological entities are organized into modules – dense clusters ...


