Page 91 - Computer Genius Class 08
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Third Phase
Intelligent Knowledge-Based Systems(IKBS), were the main focus of the third phase of AI research.
They were also referred to as "expert systems." To solve AI challenges, these systems use particular
domain-based data. The key high points of this time were:
1. IKBS worked on data in the form of rules.
2. IKBS was incapable of learning, and its focus was extremely narrow.
3. IKBS lacked the common sense that made humans more suited for specific tasks and work.
Further Phase
So far, much effort and hard work in the AI field has resulted in a large number of weak AI with few
break through in the development of strong AI. Further research into AI means developing a system
that can learn and would not need to be regularly updated.
1. The first project based on AI systems that are capable of common sense and reasoning was made
by Cycorp Inc. The challenges of human language and the high ambition of the project caused it
to slow down.
2. However the recent progress in this direction used a concept called ‘Big Data’. This approach
involves capturing data from the web.
3. In this phase new techniques like Neural Networks and genetic algorithms are developed for
machine learning.
Out of one million registered companies, 75% have already invested in machine learning.
Types of AI Careers
Career opportunities available in the field of AI are broadly divided into two categories.
Core Research Development and Deployment
These jobs requiring advanced training and education. These jobs usually related to research,
development, and deployment of AI systems. Some of them are:
1. Machine Learning Engineers
2. Data Scientists
3. Business Intelligence Developers
4. AI Research Scientists
5. Software Analysts
6. Software Developers
7. Computer Scientists
Careers in AI 89

