Artificial intelligence (AI) is not a new concept at all. In fact, it has been a topic of discussion since the 1940s. For the general public, AI has often appeared in science fiction films, robots, and supercomputers in novels—each portraying different forms of artificial intelligence, sometimes with flaws or exaggerated capabilities. In the 21st century, computer technology has advanced significantly, and artificial intelligence has gradually become part of everyday life. From service robots to mobile voice assistants and cloud computing, AI algorithms are now used in various ways to enhance our quality of life. So, how did AI evolve over the years? Let’s explore ten key milestones that shaped its journey. The Birth of Neural Networks The term "neural networks" was introduced in 1943 by Warren McCulloch and Walter Pitts. They proposed the idea of creating computers that could "learn" like the human brain. This concept laid the foundation for modern AI and is still central to most AI systems today, enabling them to perform logical tasks and learn from data. The Name "Artificial Intelligence" In 1955, four scientists—John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon—formally coined the term "artificial intelligence." John McCarthy, who later became known as the "father of AI," played a pivotal role in defining the field and setting its direction for future development. The Arrival of "Backprop" In 1969, the backpropagation algorithm was introduced, becoming one of the most important tools in machine learning. It gained popularity in the 1980s due to its ability to handle non-linear functions and recurrent patterns, making it highly effective for training neural networks and improving AI performance. Voice Assistants Emerge While Apple's Siri and Amazon's Alexa are well-known today, the concept of voice-assisted AI dates back to the 1960s. MIT developed ELIZA, a computer program that could simulate conversation, and it even managed to gain some user trust for a time. The Singularity Theory Proposed by Vernor Vinge in 1993, the singularity theory suggests that AI will eventually surpass human intelligence, leading to an unpredictable future. While not widely accepted, this idea has sparked discussions among scientists and tech leaders like Elon Musk, who have expressed concerns about AI's long-term impact. The Rise of Self-Driving Cars In 1986, a self-driving car developed by the German Federal Defence Force University used cameras and sensors to navigate streets. Today, major tech and automotive companies view autonomous driving as the next big revolution, with companies like Google, Apple, and Ford investing heavily in the technology. Super AI Computers Make History 1997 marked a significant moment when IBM’s Deep Blue defeated world chess champion Garry Kasparov, showcasing the power of AI in complex decision-making. AI Continues to Outperform Humans Following Deep Blue, IBM’s Watson won the TV quiz show Jeopardy! in 2011, defeating human contestants and proving AI’s speed and accuracy in processing information. Is AI Just a “Cat Slave”? In 2012, Google researchers trained a massive neural network using 16,000 processors to analyze 10 million images. The system ended up showing a preference for cats, labeling images of felines on its own—an interesting glimpse into AI’s quirky behavior. AI Wins the Chess Championship Again In 2016, Google’s AlphaGo defeated the world Go champion, Lee Sedol, in a historic match that drew 60 million viewers globally. Its upgraded version later beat Ke Jie, reigniting fears about AI's potential to outthink humans. These events highlight how far AI has come and the growing interest—and concern—it continues to generate.

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