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Delve into the groundbreaking work of Ray Solomonoff, the father of algorithmic probability and a key figure in the development of artificial intelligence. This video explores his contributions to the theory of inductive inference and the foundations of machine learning. Learn how Solomonoff's theories laid the foundation for modern AI and continue to influence the field today.

Ray Solomonoff (July 25, 1926 – December 7, 2009) was an influential American mathematician and pioneer in the field of artificial intelligence. He is best known for inventing algorithmic probability and developing the general theory of inductive inference, which laid the foundations of algorithmic information theory.

Solomonoff's work focused on machine learning, prediction, and probability. He was an early participant in the 1956 Dartmouth Conference, considered the founding event of AI as a research discipline. His contributions have had a lasting impact on the development of AI and continue to influence the field today.

Ray Solomonoff, algorithmic probability, inductive inference, artificial intelligence, machine learning, history of AI, Kolmogorov complexity, computational theory, Turing machines, AI pioneers

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