The Development of Artificial Intelligence
Historically, if we consider artificial intelligence, we first encounter traces of the idea of ​​creating intelligence outside the human body in ancient Greek mythology. Daedelus's attempt to create an artificial-human or to give voice to his statues using mercury are examples of this, although their origins lie in a mythological story. It can be said that throughout many periods of history, humanity has progressed step by step towards creating the "artificial intelligence" features that we don't find surprising today, and that it took a very long time for these steps to turn into a meaningful result. From the revolutionary contributions of the famous philosopher and mathematician Leibniz to mathematical thinking—from the author of Gulliver's Travels being able to imagine only abstractly gifted, strangely dressed, and mathematically inclined "Laputas"—to the first robot experiments produced by the Japanese in the first half of the 20th century, deriving the word "Gakutensoku" (meaning naturally learning autonomously), to the defeat of Garry Kasparov, considered the greatest chess genius of all time, by the IBM-produced supercomputer "Deep Blue" just before the millennium—we can cite dozens of chronological developmental stages and examples. However, the historical reference point for the true birth and concrete manifestation of artificial intelligence is 1956.

At a scientists' conference held at Dartmouth in the United States, the idea of ​​exploring the possibility of implementing fully-fledged computer programs was put forward. This is how the term "artificial intelligence" was used for the first time. Written in LISP (Likely Operated by A. Newell and H. Simon), the Logic Theorist and a chess game program are among the first artificial intelligence programs. However, humanity's fascination with intelligent machines dates back even further. On a scientific level, both theoretical and practical studies on automata, as well as mathematical and logical studies, have formed the foundations of artificial intelligence. Around the 1930s, with the proof of the existence of non-algorithmic solutions (solutions that cannot be expressed by a sequential and limited sequence of operations), studies on insolubility and incompleteness were conducted by Leibniz, Boole, Hilbert, Gödel, and Church. True artificial intelligence, however, emerged with the birth of the computer. Around 1943, with the advent of computers, some scientists began to examine the issue of endowing machines with intelligence. In 1950, Alan Turing, with his test for determining whether a machine is intelligent, pioneered the increased importance given to computers.

Artificial Intelligence in Brief
According to Wikipedia, the term "artificial intelligence" is used to describe machines and computers that mimic "cognitive" functions that humans associate with other human minds, such as learning and problem-solving.

It can also be described as a field of computer science that seeks to understand the essence of intelligence and to create a new intelligent machine that, just like humans, thinks, responds, and performs tasks based on the data fed to it. Some of the activities associated with artificial intelligence are highly technical subjects such as robotics, speech recognition, image recognition, natural language processing, problem solving, etc.

Thanks to sophisticated algorithms, artificial intelligence systems are now becoming more mature, with systems that are faster and more efficient than ever before. The application area of ​​artificial intelligence is expanding and helping to make great strides in research and development worldwide.

Artificial intelligence is not human intelligence, but it can think like a human and even surpass human intelligence.
With its science, data, machine learning, and algorithms, artificial intelligence is collecting more and more behavioral, transactional, and demographic data every day in marketing automation to create better interactions with potential customers and clients. Experts say that artificial intelligence and marketing automation will make marketing more targeted, predictable, and actionable for marketers at all levels. As AI continues to advance, the ability to use it to improve digital marketing strategies and provide valuable customer insights for companies also seems set to increase.

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