120 year old biological mystery solved, independently, via #artificialintelligence system. The power of intelligence.

Wired wrote (5 June 2015): "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." http://www.wired.co.uk/news/archive/2015-06/05/computer-develops-scientific-theory-independently

Red Orbit wrote (4 June 2015): "The work, published in PLOS Computational Biology, demonstrates how “robotic scientists” are increasingly helping their human counterparts, and represents a step forward in the growing field of robot science. It is proof that beyond simply crunching vast datasets quickly, AI can actually make accurate and insightful assessments of what the data is telling us." http://www.redorbit.com/news/technology/1113403722/ai-robot-scientist-pioneer-in-regenerative-medicine-060415/

EurekAlert (4 June 2015): "An artificial intelligence system has for the first time reverse-engineered the regeneration mechanism of planaria--the small worms whose extraordinary power to regrow body parts has made them a research model in human regenerative medicine." http://www.eurekalert.org/pub_releases/2015-06/p-aid052815.php

PhysOrg wrote (4 June 2015): "The researchers ultimately applied the algorithm to a combined experimental dataset of 16 key planarian regeneration experiments to determine if the approach could identify a comprehensive regulatory network of planarian generation. After 42 hours, the algorithm returned the discovered regulatory network, which correctly predicted all 16 experiments in the dataset. The network comprised seven known regulatory molecules as well as two proteins that had not yet been identified in existing papers on planarian regeneration." http://phys.org/news/2015-06-planarian-regeneration-artificial-intelligence.html

#robotscience #robotscientists
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