The first DNA computer capable of solving a complex problem
Larry Greenmeyer, Information Week
From the "Hidan" page in the magazine Information Week Israel. Translation: My father
Blizovsky
Researchers are currently looking at computers that can solve complicated problems
Especially, the complicated ones even for today's supercomputers. The futuristic computers
Based on the .DNA to create such a computer, the researchers synthesize
DNA molecules and present them with a mathematical problem. while the computers
Today's most complex use data and formulas, input, output
And computer software DNA is made of stored and coded DNA molecules
the information in all the cells of the animals and the fasts.
"To a certain extent, a DNA computer is the chemical and biological counterpart of computers
the electronic ones in our day," says Roidreit Bernitz, a post-doctoral student
in the Laboratory of Molecular Sciences at the University of Southern California. "In order to
To understand how a DNA computer works, think of a mathematical problem as a lock
(PADLOCK) and the possible solutions as key rings. while
The electronic computers try one solution at a time, a DNA computer will try
Millions of keys at the same time.”
The DNA computer was operated for the first time in 1994 by Prof. Leonard Edelman
From USC, NASA's Jet Propulsion Laboratory and the Ames Research Center
NASA offered Edelman a budget and means to continue the research. The research has now arrived
Case in point, when Edelman used a DNA computer to solve a problem
Complicated math with a million possible problems. So far tried only problems
simple and to which the answer was known. "The molecular size of my computer
"The DNA means that many computers can occupy a very small space," he says
Braich. "DNA has such a high data density that it can be encoded
The entire Library of Congress in DNA weighing a total of one gram,” he adds.
Braich has high expectations of biological or chemical computing. in the future,
DNA computers that use chemical reactions can be used for parallel computing
Massive for activities such as gene research and as processors in devices
robotic. For now, says Edelman, the DNA computers are not developed enough.
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