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Due to the increasing demand for Artificial Intelligence (AI) across businesses, job prospects in this
field have increased recently. It makes sense that there will be a lot of jobs created by AI. More
promising than any other job today. Therefore, working in artificial intelligence is a lucrative option
that will greatly increase job prospects for candidates.
To find the top jobs in AI and succeed in life, it is vital to understand what AI careers are available
before learning about the employment prospects that lie within the field of artificial intelligence.
Employers require AI talent to meet their technical needs. As a result, a career in AI is not only
drawing job seekers to it but also seeing tremendous growth. Job seekers must have the necessary
technical capabilities to start a career in artificial intelligence. As a result, they will be better able to
find candidates who have the necessary skill set to work in the field of artificial intelligence.
Phase-Wise Development in AI
First Phase
The Dartmouth Conference marked the start of the first phase of AI research, which utilised methods
for General Problem Solving (GPS). At that time, scholars generally believed that by utilising computer
code and mathematical models, any issue could be resolved. They used computer data that was
thoroughly searched until a solution was found to solve difficulties.
Consider the example of a chess game being transformed into
mathematical problems, with the board, the pieces, the moves, etc.
being represented by symbols. The computer would then discover
the strategies to win a game in the most effective way and produce
the greatest results based on the heuristics of prior games. Initial
results of this strategy were very promising, but they did not last
very long.
Second Phase
When there was only a slight increase in complexity, the number of
search combinations grew exponentially.
In this circumstance, the GPS approach proved to be less than ideal
for resolving practical issues. The primary objective of the second
phase of AI research was to lessen the search burden in order to
streamline and increase the efficiency of the process within the
time frame. At that time:
1. Researchers looked for new ways to represent data.
2. The research effort was slowed down due to their negative
publicity in the media.
3. The interest in the development of AI systems increased once Japan’s fifth generation
again in 1982, when Japan announced their Fifth Generation computer—Parallel Inference
Machine (PIM/m)
Computer Systems Project (FGCS).
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