Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

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 ...

The 30th Annual European Symposium on Algorithms awarded its 2021 Test-of-Time Award to Sorin Istrail, professor of computational and mathematical sciences and professor of computer science, and his ...

Modeling and creating simulations are key skills in any math, science or engineering profession. That’s why we’ve created a unique, interdisciplinary computational science minor. This minor gives ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside these models. The new method could lead to more reliable, more efficient, ...

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, ...

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 ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

"Medical Genomics" research group at ISTA "Data Science, Machine Learning, and Information Theory" research group at ISTA Al Depope, Jakub Bajzik, Marco Mondelli, and Matthew R. Robinson. 2026. Joint ...