AI: The Catalyst for the Evolution of Computational Businesses
Last Updated on July 20, 2023 by Editorial Team
Author(s): Ali S. Razavian
Originally published on Towards AI.
1- Inefficient Hardware
Photo by Hans on Pixabay
Since the 1940s and 1950s, computer scientists have developed two philosophies for creating smart machines: telling the machine what to do, and showing the machine what to do.
The first philosophy led to rule-based systems, and software as we call it today. The peak of this philosophy was when IBM’s Deep-Blue defeated Garry Kasparov in Chess. IBM wanted to brag about how advanced their AI was, but ironically that was when most people lost their interest in rule-based systems as the way to achieve intelligence.
The second developed into machine learning, or Software 2.0. There’s a fundamental difference… Read the full blog for free on Medium.
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