Giant brains; or, Machines that thinkBerkeley, Edmund Callis
Science
Giant brains; or, Machines that think
Berkeley, Edmund Callis
Computers -- Popular works
We can imagine the following type of machine—a _weather brain_. A
thousand weather observatories all over the country observe the weather
at 8 A.M. The observations are fed automatically through a countrywide
network of communication lines into a central station. Here a giant
machine, containing a great deal of scientific knowledge about the
weather, takes in all the data reported to it. At 8:15 the weather
brain starts to calculate; in half an hour it has finished, having
produced an excellent forecast of the weather for the whole country.
Then it proceeds to transmit its forecast all over the country. By 8:50
every weather station, newspaper, radio station, and airport in the
country has the details. In October 1945, Dr. V. K. Zworykin of the
Princeton Laboratories of the Radio Corporation of America proposed
solving the problem of weather forecasting in this way by a giant brain.
The weather brain will have a second stage of application. From time to
time and here and there, the weather is unstable: it can be triggered
to behave in one way or another. For example, recently, pellets of
_frozen carbon dioxide_—often called Dry Ice—have been dropped from
planes and have caused rain. In fact, a few pounds of Dry Ice have
apparently caused several hundred tons of rain or snow. In similar
ways, we may, for example, turn away a hail storm so that hail will
fall over a barren mountain instead of over a farming valley and
thus protect crops. Or we may dispel conditions that would lead to a
tornado, thus avoiding its damage. Both these examples involve local
weather disturbances. However, even the greatest weather disturbances,
like hurricanes and blizzards, may eventually be directed to some
extent. Thus the weather may become to some degree subject to man’s
control, and the weather brain will be able to tell men where and when
to take action.
Psychological Testing
Another scientific problem to which new machinery for handling
information applies is the problem of understanding human beings and
their behavior. This increased understanding may lead to much wiser
dealing with human behavior.
Public-domain text, read in full here on John Shaqi.
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