Machines are surpassing humans in skills and intelligence: the milestones

A year later, in 1997, Deep Blue delivered the final blow and defeated Kasparov in a full match. Who would have thought that a machine could calculate 200 million positions per second? An achievement that left everyone speechless and a little worried.

Deep Blue not only changed the rules of the game but also redefined our perception of artificial intelligence. It was no longer just about machines performing monotonous tasks, but about systems that could outsmart humans in their own games of wits.

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Watson and the Art of Answering Impossible Questions

In 2011, artificial intelligence took another impressive leap when Watson, also from IBM, faced off against the titans of the television quiz show Jeopardy!: Brad Rutter and Ken Jennings. Watson's ability to understand questions in natural language and respond with speed and accuracy was undoubtedly a sight to behold. Although it made some mistakes (like confusing Toronto with Chicago, oops!), Watson amassed a resounding victory.

This event was not only a demonstration of technological strength but also a breakthrough in natural language processing. And, of course, it left viewers wondering: "What’s next?" (in the tone of Jeopardy, of course).

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AlphaGo and the Millennial Challenge of Go

Go! A game with over 2,500 years of history and a level of complexity that makes chess seem like a child's game. In 2016, AlphaGo, developed by DeepMind, amazed the world by defeating champion Lee Sedol. Using deep neural networks and reinforcement learning, AlphaGo not only calculated moves but also learned and improved in the process.

This showdown demonstrated that it wasn't just a matter of brute force, but of strategy and adaptability. Who would have thought that a machine could teach us about creativity?

Beyond the game: the impact of AI in the real world

These AI triumphs are not limited to games. Watson, for example, has jumped from the television studio to hospitals, financial offices, and even weather stations. Its ability to analyze huge volumes of data has revolutionized the way we make decisions. And what about AlphaGo? Its legacy continues to inspire advancements in logistics, material design, and scientific research.

These victories raise questions about the responsibilities that come with artificial intelligence. How do we balance technological advancements with ethical concerns? A dilemma that, although complex, is as fascinating as chess itself.

So here we are, in a world where machines not only play but also collaborate and compete with us. Are you ready for the next move?