Artifical Intelligence and Machine Learning

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Artifical Intelligence and Machine Learning 

The roots of Artificial Intelligence and Machine Learning are deep, tracing back to the mid-20th century. Alan Turing, a notable figure in the development of theoretical computer science and artificial intelligence, posed the question "Can machines think?" back in 1950. This ignited the spark that fuelled decades of innovation. The term "Artificial Intelligence" was coined by John McCarthy for the 1956 Dartmouth Conference, the first academic conference of its kind. Machine Learning, on the other hand, made its debut in the late '50s when Arthur Samuel developed a program that could learn to play checkers. Fast forward to the 21st century, we've witnessed the evolution from rule-based systems to machines that can learn from vast datasets and even from their own experiences. The milestones are numerous, from IBM's Deep Blue defeating world chess champion Garry Kasparov in 1997 to the advent of deep learning which has propelled AI and ML to new heights. Through decades of exploration, failures, and triumphs, AI and ML have emerged from the realms of science fiction to being integral components of modern-day technological solutions.

Harshali Sawant Fauziya Shaikh Umme Hani Shaikh Harman Siddiqui Tanisha Singh

T.Y.BSc.(I.T.)


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