Prelude to the birth of Artificial Intelligence
People studied birds to achieve
the humankind’s dream of flying over the blue sky.
Looking at Leonardo da Vinci’s painting,
we can see how thoroughly he studied the wings of birds.
Eventually, the Wright brothers flew up the beach at Kitty Hawk,

and now, we can fly much faster than the Andean Condor.
The Sputnik spacecraft enabled the journey out of the Earth,
Human-made airship is now traveling beyond our solar system,
and humans are dreaming of moving to Mars.
Here’s the thing, this isn’t the end.
Humans were able to make
an enormous amount of calculations with the invention of computers.

Recognizing pictures, however, was a long way off.
Unlike humans who easily recognize hand-written numbers,
computers accept handwritings in pixels, and ultimately in matrices.

Thus, they could not recognize even slightly curved, distorted numbers.
Recognizing different kinds of cats was much more difficult,
almost impossible for computers.
From there, machines with “intelligence”,
rather than “calculation ability”, was pursued.

Study about human brains have started.
In 1943, Warren McCullloch and Walter Pitss modelled brain cells for the first time.
In 1949, Donald Olding Hebb from Canada presents <Hebbian Theory>.
About 10 years later, in 1958,
Frank Rosenblatt comes up with “perceptron”,
by adding weights to Pitss’s model and the Hebbian theory.
This newly introduced perceptron
was able to identify gender from pictures of people.

At the time, the New York Times covered this commenting
“World’s first recognizing machine perceptron”,
“The era of Artificial Intelligence will arrive”.
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