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 ...

Computational fluid dynamics (CFD) is a branch of physics that utilizes numerical methods and algorithms to analyze and predict the behavior of fluids and gases under various conditions. This field ...

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 ...

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 ...

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, ...

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

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 ...

• A new AI machine learning algorithm capable of predicting planetary orbits that may one day help accelerate physics research in other areas such as renewable energy. • Strikingly, the algorithms ...

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 ...

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 ...