KIZILDENIZ-Artificial Intelligence Engineering

Artificial Intelligence Engineering

What is the specialty of Artificial Intelligence Engineering major:

Artificial intelligence engineering is a branch of computer engineering concerned with the design and production of intelligent machines and programs. The fields of study of artificial intelligence include data mining, advanced mathematics, engineering, robotics, and other intelligence techniques that have become relevant to modern life.

History of the Artificial Intelligence Engineering major:

He established the modern field of artificial intelligence research at a conference on the campus of Dartmouth College in the summer of 1956. These attendees became leaders in artificial intelligence research for several decades, notably John McCarthy and Marvin Minsky, Allen Noel and Herbert Simon who established artificial intelligence laboratories at the Massachusetts Institute of Technology (MIT). ), Carnegie Mellon University (CMU) and Stanford, they and their students wrote programs that surprised most people. The computer was solving algebra problems, proving logical theorems, and speaking English.

By the mid-1960s this research was being generously funded by the US Department of Defense. These researchers made the following predictions:

1965, e. a. Simon: "In twenty years, machines will be able to do whatever work a man can do."

1967, Marvin Minsky: "Within a generation the problem of creating 'artificial intelligence' will be largely solved."

But they failed to realize the difficulty of some of the problems they faced. In 1974, in response to criticism from England's Sir James Little and persistent pressure from Congress to fund more productive projects, the US and British governments cut funding for all undirected exploratory research in artificial intelligence, the first setback in artificial intelligence research. AI is a new awakening through the commercial success of “Expert Systems,” an AI program that simulates the knowledge and analytical skills of one or more human experts. By 1985, artificial intelligence research profits in the market had reached more than a billion dollars, and governments began funding again. A few years later, beginning with the collapse of the Lisp Machine market in 1987, AI research experienced another but longer setback. In the 1990s and early 2000s, AI achieved greater success, albeit somewhat behind backstage. AI is used in logistics, data mining, medical diagnostics and many other areas across the technology industry. This success is due to several factors: the great power of computers today (see Moore's Law), the increased focus on solving specific sub-problems, the creation of new relationships between the field of artificial intelligence and other areas of work on similar problems, and, above all, researchers have begun to adhere to strong mathematical approaches and strict scientific standards. In the twenty-first century, AI research has become so highly specialized and technical, that it has split into sub-fields so deeply independent that they are few among themselves. Divisions of the field have grown around particular institutions, researchers have worked to solve specific problems, and long-standing differences of opinion about how AI should work, and different tools are widely applied.

Importance of studying Artificial Intelligence Engineering:

Develop basic skills and logical thinking.
Graduates of this major are awarded a scientific certificate that helps open up new practical horizons.
The development of all aspects of the state and the prosperity of its civilization.
Gaining experiences and life experiences to solve professional, personal and other problems.
Giving many job opportunities in the largest international companies and industrial institutions.
Experience in analyzing available data and inferring future information.