HISTORY OF ARTIFICIAL INTELLIGENCE
History of Artificial Intelligence goes back to about 200 years ago. It was 1880’s the point at which an extraordinary researcher Alan Turing concocted this term and from that point forward a great deal of experiments came in the field which helped the business and the economy to whop. But if you think that all this was achievable in a day then you are absolutely wrong as AI carries a lot of history with it.
History of Artificial Intelligence
1956
AI research was conducted at a conference in Dartmouth college in 1956. During the conference a lot of predictions were made that in the future a machine would be made which will match the intelligence of a human.
Speculation and enthusiasm for AI rose in the main many years of the 21st century. From that time, Machine Learning was effectively applied to numerous issues in the scholarly world and industry because of the potential of a ground-breaking PC.
So now this idea has been around for a considerable length of time but still, until 1950, individuals were ignorant of the term AI. John McCarthy who is known as the founder of Artificial Intelligence presented the term ‘AI (Artificial Intelligence)’ in the year 1955. McCarthy alongside Alan Turing, Allen Newell, Herbert A. Simon, and Marvin Minsky are known as the fathers of AI. Alan recommended that if people utilize accessible data, just as reason, to tackle issues to decide – why all of it can’t be possible with a machine?
Courtesy: The Independent
1970s
Step by step with time, the rush of PCs began. With time, they turned out to be quicker, increasingly reasonable and ready to store more data. The best part was that they could think uniquely, ready to self-perceive and accomplished Natural Language Processing.
1980s
In 1980, the laid back research on AI was once again relevant because of the availability of funds and more better scientific tools. With deep learning methods, the PC learned with the human experience.
2000s
After all the findings, AI was officially under research practice, until it was during the 2000s that the milestone objectives were accomplished. Around then, AI flourished even without the lack of funds and public attention.
The Current Artificial Intelligence
AI is absorbing and churning a lot of data at the same time. Currently, we interact with AI technologies on a day to day basis. From talking to a customer agent (robot) to finding out about diabetes without the help of a doctor, it is convenient to say that AI is beyond human intelligence. However, with the growing amount of time, AI must be monitored as it carries a lot of security, social and political risks as well.
