
Jakarta, Pintu News – Artificial intelligence has become an integral part of modern life – from virtual assistants and recommendation systems to self-driving cars. But do you know who actually created AI?
The journey of AI is not the work of just one person, but the fruit of the contributions of many great scientists and thinkers since the early 20th century. This article will take you through the history and development of AI over time.
Artificial intelligence (AI) is a specialized branch of computer science that focuses on developing systems capable of mimicking human-like intelligence and problem-solving abilities.
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These systems work by receiving large amounts of data, processing it, and then learning from previous experiences to become more efficient and better in the future.
Unlike a regular computer program that requires human intervention to correct errors and improve its performance.
With the development of AI products to this day, many people must be wondering who created AI. According to Raffle’s report, it all started in the early 1900s, when the concept of artificial humans began to emerge and scientists began to question whether it was possible to create artificial intelligence, or what was then referred to as an “artificial brain”.
The term “artificial human” was first used in 1921 by Czech playwright Karel Čapek in a science fiction play called Rossum’s Universal Robots. In the play, the concept of artificial humans was introduced in the form of robots.

One of the greatest AI creators or innovators in the field of AI is John McCarthy, who is known as the Father of Artificial Intelligence for his contributions to Computer Science and AI.
John McCarthy first used the term Artificial Intelligence in 1956 when he organized the Dartmouth Conference, which was later considered a milestone in the birth of AI as a scientific field of study.
John McCarthy (1927-2011), an American computer and cognitive scientist, is often referred to as the “father of artificial intelligence” (AI) due to his immense contributions to the field of AI and computer science.
One of McCarthy’s most famous contributions to computer science is the development of the LISP (List Processing) programming language, which was designed specifically for AI research and became one of the most important languages in the field.
In addition, he also proposed the concept of time-sharing on computers, which became the basis for modern interactive computing as we know it today.

After the foundations of artificial intelligence (AI) were laid by pioneers such as Karel ÄŚapek and John McCarthy in 1956, the field of AI and information technology began to grow rapidly. This growing interest in AI encouraged many individuals to contribute to its advancement.
One of the next important figures was Alan Turing, who envisioned a machine capable of mimicking human intelligence and performing human-like tasks. He introduced the Turing Test as a way to measure machine intelligence.
A major leap in the field of symbolic reasoning occurred with the advent of Logic Theorist developed by Allen Newell and Herbert A. Simon in 1955. However, this progress was still limited by the very low computational power at that time.
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A major breakthrough in the 1980s and 1990s was the emergence of the concept of machine learning, which is a system capable of learning from patterns in data without relying on explicit programming. This approach was inspired by how the human brain works.
This development was made possible by the likes of Geoffrey Hinton and Yann LeCun, who made great strides in neural network research and developed the backpropagation algorithm to train such networks.
This progress is also supported by the increase in computing power and the development of machine learning technology. In addition, algorithms such as support vector machines and clustering are also being developed, further expanding the capabilities of AI.
Entering the 21st century, the era of big data has emerged, where large datasets are available and enable the training of machine learning models to be much more efficient and significantly improve AI performance.
At the same time, deep learning began to develop as an important branch of machine learning, with major contributions in speech and image recognition.
Advances in hardware, especially more powerful computers and GPUs, have accelerated the development of machine learning. One notable achievement was Alex Krizhevsky’s work with Ilya Sutskever and Geoffrey Hinton, who created AlexNet, a convolutional neural network (CNN).
They won the ImageNet competition, which is a true testament to the capabilities of deep learning in real-world applications.

At the time of writing, data from CoinMarketCap shows that the crypto sector focused on artificial intelligence and big data is experiencing significant growth, with the total market cap reaching $20.94 billion, up 8.65% in the last 24 hours. This indicates high investor interest in crypto projects that integrate AI technology.
From Bittensor to Virtuals Protocol (VIRTUAL), AI projects in the crypto space are showing solid market cap and positive daily growth. This indicates that the AI and big data sector continues to be a major attraction for investors, especially as AI technologies increasingly permeate various aspects of digital life.
With the support of infrastructure such as NEAR , Filecoin , and Render , as well as innovations from Bittensor and Story Protocol (IP), the AI crypto ecosystem is building a strong foundation for the future.
The good news is, you can easily start investing in popular crypto AIs through the Pintu app. From TAO to RENDER, your crypto investment journey can start with only Rp11,000!
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