Monte Carlo methods and Markov Chain algorithms have long been central to computational science, forming the backbone of numerical simulation in a variety of disciplines. These techniques employ ...

From self-driving cars to facial recognition software, technologies powered by artificial intelligence rely on powerful algorithms that can make sense of complex, real-world data. These algorithms are ...

Computational biology, a field that has emerged at the intersection of biology, computer science, and mathematics, has revolutionized our understanding of living systems. By leveraging computational ...

Spectral methods are very efficient numerical algorithms for solving partial differential equations in relatively simple geometries. The numerical errors introduced by spectral algorithms typically ...

A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...

Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct the complex dynamics of how cells decide their fate. As reported in Nature ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Two Expert Interview Opportunities on Dalhousie’s Computational Social Science Symposium and the Impacts of AI on Society, Culture and Research Dalhousie University will host the Computational Social ...

With the increasing digitalization of our contemporary societies, «Computational Social Science» (CSS) has become an established field of research over the last couple of years. As a subarea of social ...

Barry Lawson is a Bates computer science professor who chairs the Program in Digital and Computational Studies. He is also an accomplished multi-instrumentalist who plays mandolin, guitar, and upright ...