When did AI begin?

The concept of artificial intelligence (AI) has been around for centuries...

When did AI begin?

When did AI begin? Early examples include the mythological automata of ancient Greece and the mechanical toys of the Middle Ages. However, the modern field of AI did not take shape until the mid-20th century.


Group of researchers:

Twentieth century. In 1956, a group of researchers including John McCarthy, Marvin Minsky and Claude Shannon organised the Dartmouth Conference, widely regarded as the birthplace of AI. At this conference, the researchers discussed the possibilities of developing machines that could learn, think and solve problems, laying the foundation for the development of modern AI.

The researchers developed a range of AI techniques:

In the following decades, researchers developed a range of AI techniques and algorithms, including expert systems, neural networks and natural language processing. However, progress in this field was often slow, and the limitations of the available technology meant that many early AI systems were relatively simple and specialised.

Advances in computing power:

In the 21st century, advances in computing power, data storage and machine learning algorithms have led to renewed interest in AI, with rapid advances in areas such as image and speech recognition, autonomous vehicles and personalised medicine. Today, AI is used in a wide range of industries and applications, from manufacturing and finance to healthcare and entertainment.

When did AI begin?

Hello and welcome to our channel! Today we are diving deep into the fascinating world of Artificial Intelligence - or more precisely, we are answering a question that is asked again and again: When did AI start?

Computer Scientists:

The origins of artificial intelligence can be traced back to the 1950s, when computer scientists began to develop algorithms and programs that could perform tasks that normally required human intelligence, such as playing chess or solving mathematical problems. These early systems, known as "expert systems", were mainly based on rules and decision trees and were limited in their ability to learn and adapt.

Breakthrough in AI:

However, the real breakthrough in AI came in the 1980s with the development of neural networks. Modelled on the structure of the human brain, neural networks were developed to recognise patterns in data and make decisions based on this information. This marked a fundamental shift in the field of AI, as systems became increasingly complex and capable of performing tasks beyond what had previously been thought possible.

AI on an unimagined scale:

In the 21st century, AI has entered our daily lives on an unprecedented scale. From self-driving cars and voice assistants to facial recognition and medical diagnosis, the potential of AI is virtually limitless.

But how did we get here? 

The answer lies in the development of key technologies and breakthroughs in computing. For example, increased computing power and the availability of big data have enabled AI systems to learn and adapt on a large scale. Advances in natural language processing and computer vision allow machines to understand and interpret the world around us in increasingly sophisticated ways.

But with great power comes great responsibility:

As AI evolves, it is important that we consider the ethical implications of its use. For example, there are concerns that AI could contribute to job losses or reinforce existing prejudices in society. It is therefore important that we approach these developments carefully and with the common good in mind.

That's it - a brief overview of the history and current state of AI. It's hard to say where the future will take us, but one thing is certain: the possibilities are endless. Thanks for tuning in and see you next time!