What is Artificial intelligence?
Intelligence is the human ability to implement knowledge and skill as per the required circumstances. In technological term intelligence frequently refer to the ability of a system to use available information, learn from it, make decisions and adapt to new situations. Whereas the term “artificial” means that the intelligence is not inherent but created through design and programming.
The concept of “artificial intelligence “is refer to ability of computer system to perform complex activities which is only done my human beings. such as interpretation of data, language understanding, learning from past, detecting trends, demand forecasting, analyzing the gap ,formulation of strategy and its evaluation, managing statistical data etc.But here’s the thing—AI isn’t magic. It’s built on algorithms that improve over time, kind of like how we learn from experience. The more data it gets, the smarter it becomes. Still, it’s not flawless. Ever had autocorrect butcher your text? Yeah, that’s AI missing the mark. It needs good data and human oversight to work well.
The real goal of AI isn’t to replace us but to handle the tedious, data-heavy tasks so we can focus on creativity, strategy, and the stuff that actually requires a human touch. Whether it’s healthcare, finance, or even art, AI is just another tool—powerful, but still one that needs us to steer it right.
DIFFERENCE BETWEEN HUMAN INTELLEGIENCE AND ARTIFICIAL INTELLIGENCE
| HUMAN INTELLEGIENCE | ARTIFICIAL INTELLIGENCE |
| Non predictable | Predictable |
| Human incorporate ethical and moral consideration. | Machines cannot understand ethics and morality. |
| Excel in creativity and innovation. | Totally depend on available information. |
| Humans solve problem using abstract thinking and intuition. | Machines rely on algorithms and pre-defined logic. |
How AI born?
Model of artificial neurons, which is considered as the first artificial intelligence, even though the term was not exist was propounded by McCulloch and Walter Pitts in year in 1943. Later in 1950, an article with entitled “computing machinery and intelligence” was published by British mathematician Alan Turing where he asked question: can machine think?
However, he proposed an experiment which is popularly known as Turing test. As per the Alan this test would make it possible to determine whether machine could have intelligent behavior similar to or indistinguishable from that of a human being.
John McCarthy coined the term “artificial intelligence” in 1956 and drove the development of the first AI programming language, LISP, in the 1960s.
EVOLUTION OF AI: A Timeline
Early foundations(1940s-1950s)
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- Model of artificial neurons, which is considered as the first artificial intelligence was propounded by McCulloch and Walter pitts in year in 1943.
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- In 1950, a british mathematician Alan Turing proposed an experiment which is popularly known as Turing test.
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- Dartmouth conference officially coin the terms Artificial intelligence in 1956.
Early AI & Symbolic AI(1950s-1970s)
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- In 1956 The first AI programme was developed by Allen Newell, Herbert A. Simon and Cliff which is popularly known as The logical theorist.
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- In 1966 The very first Ai powered Chatbot Eliza was developed .
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- 1970 : AI Winter refers to a period where progress in AI was slowed.
Machine learning and data driven approaches (1980s-1990s)
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- Era of major shift: Machine learning now allowed computer to learn patterns from data autonomously.
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- Machine learning helps to improve the performance of machines based on specific tasks.
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- It is used in different applications, such as image recognition and language processing.
Rise of modern AI (2000s-2018)
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- Big data & computing power
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- Machine learning goes mainstream
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- Deep learning revolution
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- Natural languages processing (NLP) Advances
In Present Generative AI in new trends
Generative AI systems create new content – such as text, images, code and even video from vast datasets. Unlike traditional AI (which classifies or predicts), generative models produce original outputs, enabling breakthroughs in creativity, automation, and human-AI collaboration.