Artificial Intelligence: Who created it and what is it used for?

The history of artificial intelligence began in 1943 with the publication of the paper “A logical computation of ideas immanent in nervous activity” by Warren McCullough and Walter Pitts.

But the term artificial intelligence was first used in John McCarthy’s 1956 lecture “Dartmouth Summer Research Project on Artificial Intelligence”. In turn, the same John McCarthy and Marvin Minsky founded the MIT Artificial Intelligence Project.

In 1963, John McCarthy also created the “AI Laboratory” at Stanford University.

In 1966, the US ALPAC report highlighted the lack of progress in machine translation research aimed at simultaneously translating the Russian language in the context of the Cold War.

In 1997, the history of AI was marked by a major event. IBM’s Deep Blue AI triumphed over world chess champion Gary Kasparov. For the first time, the man was defeated by a machine.

Today, technological advances enabled the resurgence of artificial intelligence.

Modern history

In 2012, Andrew Ng fed 10 million YouTube videos into a neural network as a training dataset.

Artificial intelligence has also conquered the field of video games, notably with DeepMind AlphaStar in Starcraft or OpenAI Five in Dota 2.

Modern history

In 2012, Andrew Ng fed 10 million YouTube videos into a neural network as a training dataset.

Artificial intelligence has also conquered the field of video games, notably with DeepMind AlphaStar in Starcraft or OpenAI Five in Dota 2.

Specialized AI vs. general AI

There are two main categories of artificial intelligence. Narrow AI, also called weak AI, works only in limited contexts. It tends to focus on doing one task and can do it perfectly well.

However, while such a machine may appear to be intelligent, it is much more limited than human intelligence.

In this category, we would find everyday artificial intelligence such as Siri, Alexa, and Google Home.

In contrast, the second category is “general” artificial intelligence.

It is a machine that can solve any problem with general artificial intelligence comparable to humans. Universal algorithms can be learned and work in any environment.

But in reality, this type of AI does not yet exist.