The History- Artificial Intelligence

Updated: Apr 7, 2020

As you all know that Artificial Intelligence is the talk of the town. We are even hearing that Artificial Intelligence is "The Next Big Thing" and "Artificial Intelligence is the Future". But, in what way? Is it so that, we would be completely dependent on it? Is it a threat or is it the actual solution?

Well, even the researchers aren't so clear about the future impact of Artificial Intelligence. Here, in this blog, we shall know what are the risks involved in artificial intelligence, the history of AI, and so on.

The History of Artificial Intelligence!

Ever got a thought as to from where did this concept come from? how did it emerge? who all are behind this? If yes, then we shall discuss all such things here in this blog.

Intelligent robots and artificial beings appeared for the first time in the ancient Greek myths of Antiquity. Aristotle's development of the syllogism (A syllogism is a form of logical reasoning that joins two or more premises to arrive at a conclusion.) and its use of deductive reasoning was a key moment in mankind's quest to understand its own intelligence. While the roots are long and deep, the history of artificial intelligence as we think of it today is yet to touch the century mark (100 years). The following is a quick look at some of the most important events in AI.

In the initial stage, i.e., during the beginning of modern age, AI can be traced by the classical philosophers' who were attempting to describe human thinking as a symbolic system. Moving further, the field of AI was not formally found until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term "artificial intelligence" was coined.

MIT cognitive scientist Marvin Minsky and others who attended the conference were extremely interested about AI and it's future. "Within a generation, the problem of creating 'artificial intelligence' will substantially be solved," Minsky is quoted as saying in the book "AI: The Tumultuous Search for Artificial Intelligence" (Basic Books, 1994).

Achieving an human like artificially intelligence wasn't so simple though. After a several reports criticizing progress in AI, government funding and interest in this field dropped off – during the 1974's – 80's period and this was the period which was known as the "AI winter." This field later was revived in the year 1980s when the British government started funding it again in part to compete with efforts by the Japanese who were the major competitor.

Achieving a human like artificially intelligence wasn't so simple though. After several reports criticizing progress in AI, government funding and interest in this field dropped off – during the 1974's – 80's period and this was the period which was known as the "AI winter." This field later was revived in the 1980s when the British government started funding it again in part to compete with efforts by the Japanese who were the major competitor.

But research began to pick up again and in the year 1997, IBM's Deep Blue: the first computer, defeated Russian grandmaster Garry Kasparov, the famous Chess champion. And in 2011, the computer giant's question-answering system Watson won the quiz show "Jeopardy!" by beating reigning champions Brad Rutter and Ken Jennings.

But the accomplishment has been controversial, with artificial intelligence experts saying that only a third of the judges were fooled, and pointing out that the bot was able to dodge some questions and these bots used to speak English as a second language.

Many experts today says that the Turing test isn't a good measure of artificial intelligence.

"The vast majority of people in AI who've thought about the matter, for the most part, think it’s a very poor test, because it only looks at external behavior," Perlis told Live Science.

In fact, some scientists are now planning to develop an updated version of the test. But the field of AI has become much broader than just the pursuit of true, human like intelligence.

In the coming future, there is no doubt that machine learning is going to be everywhere and people should not really wonder looking at the advancements Artificial Intelligence & Machine Learning is going to make in the future. Because Artificial Intelligence is a field that is continuously being innovated, it is important to keep in mind that algorithms, methods, and approaches will continue to change.

Conclusion

In the coming future, there is no doubt that artificial intelligence is going to be everywhere and people should not really wonder looking at the advancements Artificial Intelligence & Machine Learning is going to make in the future. Because Artificial Intelligence is a field that is continuously being innovated, it is important to keep in mind that algorithms, methods, and approaches will continue to change.

If you are looking to start a course with AI & ML, we at Infimind Institute, help achieve the dream and goal of by conducting an academic course of Artificial Intelligence and Machine Learning.