History of Ai (part1)

Then once more

Five years later, Herbert Simon and Alan Newell developed Logic Theorist, a software program that mimics human problem-solving abilities. Between 1957 and 1974 as computers’ processing power along with information storage improved, and the cost of using them decreased significantly, AI entered a new era. As a result of advances in algorithmic design and the favorable opinions of leading researchers, organizations and governments increased their investment in AI. There were no significant achievements in artificial intelligence during the mid-70s, and the technology was still far from what we know as human intelligence. One of the reasons for this stagnation was computers’ subpar processing power. Governments and organizations gradually reduced investment in related projects, and research remained dormant to a large extent causing this period to be known as the winter of artificial intelligence.

The winter lasted until the mid-1980s, when the expansion of algorithmic and computer tools and the increase in research budgets caused a renewed interest in AI. Various electronics technologies, such as MOS and VLSI paved the way for the development of artificial neural networks. Even though many projects failed during this time, AI was a hot topic again and using machines for intelligent activities has fast become a trend. In the 1990s and at the dawn of the 21st century AI’s applications in the field of medical diagnostics were developed and its extraordinary capabilities gradually became evident. Chess grandmaster Garry Kasparov’s 1997 defeat against IBM’s artificial intelligence Deep Blue was a turning point for AI, by this time it was undeniably apparent that machines have surpassed human intelligence. In the early 21st century, artificial intelligence was used in more and more fields such as statistics, economics, and mathematics, marking the beginning of a new era for computer automation.

There is no doubt that the 2010s were the golden years of artificial intelligence, the effects of the rapid advancements were gradually seen in various tools and equipment and ultimately in our everyday lives. With the advancement of processors, and the Internet’s ability to produce large quantities of data in 2013, progress has doubled in the field. Now new types of artificial intelligence capable of analyzing and solving more complex problems and creating new types of artificial intelligence have been developed. Artificial intelligence and machine learning are so intertwined with our lives these days that few people have never heard of them or are unfamiliar with them. Today, artificial intelligence finds its place in various fields of science and industry and penetrates every corner of our lives. By solving new problems, artificial intelligence has brought significant progress to human societies, to the extent where it’s justified to call artificial intelligence, the fourth industrial revolution.