Organic computers made of dna
Underground Knowledge — A discussion group - FUTURISTIC TECH : Silicon vs. DNA Microprocessors Showing 1-16 of 16
Future Computing: DNA Hard Drives - Nick Goldman
How DNA Computers Will Work
Physicists say these devices will be fast enough to break every encryption method banks use today. Their artificial intelligence will be so advanced that you could load in the periodic table and the laws of quantum mechanics, and they could design the most efficient solar cell to date. Some experts say that a qubit computer could outperform any conventional computer. But there's a big problem: By its nature, you can't save or duplicate information on a quantum computer. All that computing power is of little use if you can't back up your work. You can convert quantum data and put it on a traditional storage device, but all that converted data takes up a lot of space.
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Why DNA computing?
DNA computing is a branch of computing which uses DNA , biochemistry , and molecular biology hardware, instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The term "molectronics" has sometimes been used, but this term has already been used for an earlier technology, a then-unsuccessful rival of the first integrated circuits ;  this term has also been used more generally, for molecular-scale electronic technology. This field was initially developed by Leonard Adleman of the University of Southern California , in Since the initial Adleman experiments, advances have been made and various Turing machines have been proven to be constructible. While the initial interest was in using this novel approach to tackle NP-hard problems, it was soon realized that they may not be best suited for this type of computation, and several proposals have been made to find a " killer application " for this approach. In , computer scientist Mitsunori Ogihara working with biologist Animesh Ray suggested one to be the evaluation of Boolean circuits and described an implementation.