Artificial intelligence independently solves 120-year-old biological mystery

Computer scientists and biologists from Tufts University programmed the computer so that it was able to develop a theory independently when it was faced with a scientific problem. The problem they chose was one that has been puzzling biologists for 120 years. The genes of sliced-up flatworms are capable of regenerating in order to form new organisms — this is a long-documented phenomenon, but scientists have been mystified for years over exactly what happens to the cells to make this possible.

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By presenting the computer with this problem, however, it was able to reverse engineer a solution that could explain the mechanism of the process, known as planaria. The details discovered by the computer have been published in the journal PLOS Computational Biology, along with the artificial intelligence method used to develop the theory.

The significant thing that the two researchers Daniel Lobo and Michael Levin were hoping to discover was not how new tissue is generated, but how it knows what shape and proportions to grow in. That sacred information is locked away in our genes

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