History of Artificial Intelligence

The word Artificial Intelligence is not a surprise or new technology for us. It goes back from the old age since the 1950s. It started as a hypothetical situation, but now, it is the most critical technology in the entire world. Almost everything around us is run through AI, Deep learning, or Machine learning. Since 1950 to now AI has an exponential growth in its evolution.


Under Greek Mythology, the concept of Artificial Intelligence, machines, and mechanical men were well thought of. The best example of this is the Talos.

Talos was a giant animated bronze warrior, programmed to guard the island of Crete. However, these are only theoretical ideas, and nobody knows the actual implementation of this.

In the 19th century, the concept of AI and ML came into existence. 1950 was the most pivotal year for the history and introduction of AI. In 1950, Alan Turing published a paper, in which he hypothesizes about the possibility of the creation of a machine, that can think like a human, so he creates a test called Turing Test. In 1950-51, Alan Turing created a test to determine whether a machine can think intelligently or not like a human being. However, it wasn’t easy to define, but he made it simple through the Turing test. If a machine passes this test, that means the machine can think like a human being. However, there is no such ideal machine till now, which passed the Turing Test. In 1951, a well-known computer scientist Christopher Strachey wrote a checkers program and contemporary this program was written from the chess as well. Further, these programs were improved and re-executed, but this was the first attempt to create a program that can play and compete for chess with the human being.

1956- Invention of AI

Now take a forward step in the invention of AI. 1956 was the most crucial year in the invention of Artificial Intelligence. The term AI was coined by John McCarthy at the Dartmouth Conference in 1956. Further, in 1959 the first AI laboratory was established; this was the time when researchers started for AI. The first AI research lab was MIT lab, which is still working for the AI applications till time.

1960- General Motor Robot

This year, the first robot or machine was introduced to the general motor assembly line.

1961- Invention of first Chatbot.

The first Chatbot was invented called ELIZA was introduced in 1961; however, we have SIRI, Alexa, and so many Chatbot in running time.

1997- IBM deep blue

In 1977, there was a big surprise in the evolution of AI. IBM deep blue beats the world champion Garry Kasparov in the game of chess. So this was the first achievement in the history of Artificial Intelligence.

2005- DARPA Grand Challenge

This was another significant achievement for AI. In 2005, Stanford Racing Team built a robotic racing car named Stanley, won the DARPA grand challenge.

2011- IBM Watson

In 2011, IBM’s question and answering system called Watson defeated the two greatest Jeopardy champions named Brad Rutter and Ken Jennings.

Why should you learn Artificial Intelligent?

Artificial Intelligence has now become the need of human beings rather than technology. If we saw any machine around us, we will find that almost everything is running through AI technology. So Why AI has become so crucial for the human being, there are some reasons for the demand for AI is as follows:

1- More Data storage:

Big data.png

We are generating more data every day through social media, IoT devices, etc. So AI is a solution to process more data and derive useful insight and grow business with the help of data. Big data helps to recommend a better product while shopping online and classify an object from an image. AI is trained on large data sets, and Big data helps us to do this more easily.

2- Better Algorithm and broad Investment

AI uses effectively better algorithms based on the concept of Neural networks and concepts related to deep learning. Since it has better algorithms, it can do faster computations with relatively more accuracy, and this will increase the demand for AI. All Universities, governments, and start-ups are all investing in AI. Big multinational companies like Google, Microsoft, Salesforce, and Amazon, etc. are also investing heavily in the field of AI assuming that AI is the future of all technologies. So AI is rapidly growing in every field like study as well as in economic fields.

3- Better computational power

We have more computational power due to AI, as AI requires a lot of computing power. There are so many advances that have been made and complex deep learning models are deployed. One of the greatest technology that made it possible is GPUs. As we have more computational power, so we can implement AI in our daily aspects.

Leave a Comment

Your email address will not be published. Required fields are marked *