Theory of Computation offers a rigorous mathematical framework that underpins our understanding of what can be computed and how efficiently these computations may be performed. It encompasses ...
Graph theory has long provided a robust mathematical framework for investigating networks, relations and connectivity in both abstract and applied settings. Recent advances have markedly refined our ...
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Deep Learning with Yacine on MSNOpinion

Kolmogorov Complexity Explained: Why Some Things Can’t Be Simplified

What is Kolmogorov Complexity, and why does it matter in computer science and information theory? In this video, we break down the concept in simple terms and walk through real-world examples to make ...
Ashutosh Trivedi is an Associate Professor of computer science at the University of Colorado Boulder. His researchinterests lie at the intersection of computer science, control theory, and machine ...
Physicists and computer scientists have recently expanded the modern theory of the thermodynamics of computation. By combining approaches from statistical physics and computer science, the researchers ...
A major advance reveals deep connections between the classes of problems that computers can — and can’t — possibly do. At first glance, the big news coming out of this summer’s conference on the ...
The problem -- Computation -- Structure for free -- Purposeful structure -- Improbability and the engine of complexity -- Algorithmic evolution -- Evolution within the body -- Taking control of the ...
Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, No. 21 (May 25, 2021), pp. 1-7 (7 pages) Spin glasses (SGs) are paradigmatic models for physical, computer ...
Scale remains a pivotal yet highly contentious concept in geography. I survey the lively discussions engaged in recently by many critical/ radical geographers regarding the theoretical status of scale ...