Andrei Markov

Russian mathematician whose chains and processes underpin modern probabilistic models in AI.

Markov studied sequences where each state depends only on the previous one, now called Markov chains. His work underpins sampling in Boltzmann machines, language models, and countless probabilistic algorithms in machine learning.