The Architecture of Boltzmann Networks: From Statistical Physics to Modern Machine Learning
Year: 2024
Type: article
Abstract: One of the most fascinating intersections of physics and computational intelligence lies in the journey from Boltzmann's statistical mechanics to modern machine learning. This convergence appears in Boltzmann Networks, whose well known name is Boltzmann Machines, which capture the essence of these principles and provide the bridge between statistical physics and the most up to date artificial intelligence. In this series, we see how the core concepts of statistical mechanics morphed into machine learning with the discussion of these remarkable structures.
Author: Sarikaya, Ferhat
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6949636393
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