Stanford has created a water-droplet computer
13:49
After more than a decade of
research, scientists at Stanford University have created a working
computer based on the physical movement of water droplets. It’s a
breakthrough in physical computing that gets at the most basic
definition of a computer: any programmable device that can carry about
logical (mathematical) operations. By combining cutting-edge theory in
fluid dynamics with very-much-not-cutting-edge theory in computing, the
team was able to create a synchronous computer based entirely on the
physics of water.
As you might imagine, a computer based on the physical movement of water
is much, much slower than a conventional computer based on the movement
of electrons — but that’s beside the point. Nobody expects a new,
super-fast liquid CPU, but by applying the principles of computing to
the manipulation of matter, lead researcher Manu Prakash and his
graduate students hope they can computationally revolutionize other
areas of science.
Prakash is actually a
bioengineer — his main goal with the project is to create a platform for
robust, super-quick chemical testing. Their technique can direct
potentially millions of droplets around a chip, simultaneously, and each
of these can be loaded with a different chemical for testing. A
well-designed chip could make months of complex chemical experimentation
into minutes — once the chip has been designed and built, the
experiment designed, and the samples made and loaded onto the chip
itself.
The system only works as a general-purpose computer because it is “synchronous,” meaning that it keeps the various operations marching to the same beat — the researchers say they could potentially control millions of droplets at once, with a scaled version of the same technology. In a conventional computer, each of these beats is called a clock cycle — in a water-drop computer, this beat is controlled by the flipping magnetic field. In both cases, the central timing mechanism makes sure that even thousands of different paths and interactions all proceed according to the same schedule, and can thus work together toward computational goals.
Some of the very earliest computers, like the UNIVAC I, had computer memory based on liquid mercury — in essence, the idea of representing computer data with physical matter is not new. What is new is the idea that the physical structure of the chip could be used to direct the movement of matter in a robust, pre-programmed way. In a best-case-scenario, this sort of paradigm shift in the approach to experimental chemistry could cause the sort of exponential efficiency increase electronic computers allowed in regular mathematics.
One big push in the quest truly next-generation medicine is so-called “organ on a chip” technology, which would allow scientists to test the effects of drugs and other substances on certain organs by running those substances through small, high-throughput stand-ins for whole organs of interest. With the ability to quickly and systematically test the interactions of thousands of different substances, that idea might someday plausibly reach the point of “individual on a chip.”
In the more foreseeable future, water-drop computing is a fascinating realization of something that was always theoretically known: computing is a fundamentally physical process (until quantum computing comes of age, I suppose), and as such can be expressed in the medium of physical matter. It’s far less efficient that way — but efficiency isn’t the only goal worth pursuing.
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