"[researchers Lipson and Schmidt] recently mined a large quantity of metabolic data provided by Gurol Suel, assistant professor at the University of Texas Southwestern Medical Center. The algorithm came up with two "very simple, very elegant" invariants—so far unpublished—that are able to accurately predict new data. But neither they nor Suel has any idea what the invariants mean, Lipson says. "So what we are doing now is trying to automate the interpretation stage, by saying, 'Here's what we know about the system, here's the textbook biology; can you explain the new equations in terms of the old equations?'" Lipson says the ultimate challenge may lie in dealing with laws so complicated they defy human understanding. Then, automation of the interpretation phase would be extremely difficult. "What if it's like trying to explain Shakespeare to a dog?" he asks." - Michael Nielsen