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There's already a huge infrastructure geared to producing silicon computer chips.
But this is the way — for most of us, at least — that a high-resolution microscope photograph of a silicon computer chip appears.
But this is the way for most of us, at least that a high-resolution microscope photograph of a silicon computer chip appears.
Another appealing reason to switch to silicon is to take advantage of existing machines that are used to fabricate silicon computer chips.
The problem is physical: the body is soft, supple, and curved, but modern electronics, built on silicon computer chips, are rigid and flat, likely to shatter if dropped on a sidewalk.
Named for its inventor, Gordon Moore, a founder of Intel, Moore's law has continued to hold true because of the dexterity with which engineers have been able to inscribe smaller and smaller circuitry onto silicon computer chips.
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There are several different proposals for making DNA computers that could not just hold but also process data, possibly finding solutions to difficult computational problems much faster than current silicon computers, because billions of molecules could conduct many searches for the best solution in parallel.
So the future of computing need not only be a question of putting people and things together with ubiquitous silicon computers.
Biological brains are different from silicon computers in fundamental ways, says Dr Guha at IBM. Computers are electronic devices, whereas brains rely on a mixture of electricity and chemistry.
It is a controlled artistic chaos, a set of chemical reactions so staggeringly complex that more than 4 billion years ago it began a sojourn that now, in human form, composes love letters and uses silicon computers to calculate the temperature of matter at the birth of the universe.
A new study, co-authored by postdoctoral fellow Steven Frankland and Professor of Psychology Joshua Greene, suggests that two adjacent brain regions allow humans to build new thoughts using a sort of conceptual algebra, mimicking the operations of silicon computers that represent variables and their changing values.
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