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Machine Learning...

"As complexity rises, precision statements lose meaning and meaningful statements lose precision."

...Prof. Lotfi A. Zadeh

"Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. The guiding principle of soft computing is: Exploit the tolerance for imprecision, uncertainty and partial truth to achieve tractability, robustness and low solution cost. At this juncture, the principal constituents of soft computing (SC) are fuzzy logic (FL), neural network theory (NN) and probabilistic reasoning (PR), with the latter subsuming belief networks, genetic algorithms, chaos theory and parts of learning theory. What is important to note is that SC is not a melange of FL, NN and PR. Rather, it is a partnership in which each of the partners contributes a distinct methodology for addressing problems in its domain. In this perspective, the principal contributions of FL, NN and PR are complementary rather than competitive."

...Defination of soft computing by Prof. Lotfi A. Zadeh

To create something in the image of nature is to create a machine,
and it was by learning the inner workings of nature
that man became a builder of machines.

...Eric Hoffer

1960 A.D.
Unimation, the first commercial robot company, is formed by inventor George Devol and engineer Joe Engelberger.

1950 A.D.
Isaac Asimov publishes "I, Robot."