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 ...

Taylor earned her bachelor’s degree in mechanical engineering from the South Dakota School of Mines and Technology and master ...

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 ...

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 ...

Biology and Computer Science offer a joint curriculum focused on the emerging field of computational biology that involves the development and application of data analysis methods, theoretical ...

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, ...

A team of researchers has found a way to steer the output of large language models by manipulating specific concepts inside ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

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 ...

"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 ...