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Nov 03, 2025, 14:53 IST
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The rise of Artificial Intelligence (AI) marks one of the most transformative shifts in human history, shaping industries, societies, and daily life in ways that were once confined to the realm of science fiction, and as we stand in the midst of the 21st century,
AI has evolved from being a niche research field to a pervasive technology influencing almost every aspect of modern civilization; from self-driving cars and personalized medical treatments to intelligent virtual assistants and predictive algorithms in finance, AI has become a defining feature of contemporary progress, yet its journey has been long and complex, tracing back to the mid-20th century when pioneers like Alan Turing, John McCarthy, and Marvin Minsky laid the theoretical and practical foundations,
asking profound questions about whether machines could think and creating the early frameworks for symbolic reasoning, machine learning, and neural networks; since then, waves of optimism and so-called “AI winters” have alternated, with initial enthusiasm giving way to funding shortages and skepticism, but each resurgence has brought breakthroughs that have pushed the boundaries of what machines can achieve, particularly with the advent of big data, advanced algorithms,
and exponential improvements in computational power, and today’s AI, powered by deep learning, natural language processing, and reinforcement learning, can analyze vast datasets at superhuman speeds, recognize speech and images with remarkable accuracy, and even generate human-like text and art, thereby demonstrating creativity once thought to be uniquely human, yet alongside its promise, the rise of AI raises profound ethical, social, and
AI has evolved from being a niche research field to a pervasive technology influencing almost every aspect of modern civilization; from self-driving cars and personalized medical treatments to intelligent virtual assistants and predictive algorithms in finance, AI has become a defining feature of contemporary progress, yet its journey has been long and complex, tracing back to the mid-20th century when pioneers like Alan Turing, John McCarthy, and Marvin Minsky laid the theoretical and practical foundations,
asking profound questions about whether machines could think and creating the early frameworks for symbolic reasoning, machine learning, and neural networks; since then, waves of optimism and so-called “AI winters” have alternated, with initial enthusiasm giving way to funding shortages and skepticism, but each resurgence has brought breakthroughs that have pushed the boundaries of what machines can achieve, particularly with the advent of big data, advanced algorithms,
and exponential improvements in computational power, and today’s AI, powered by deep learning, natural language processing, and reinforcement learning, can analyze vast datasets at superhuman speeds, recognize speech and images with remarkable accuracy, and even generate human-like text and art, thereby demonstrating creativity once thought to be uniquely human, yet alongside its promise, the rise of AI raises profound ethical, social, and