The field of computational science faces many challenges when it comes to improving the state of equitable access and representation, as well as creating computational tools that do not further ...

Computational thinking is increasingly recognised as a fundamental approach to problem solving that transcends traditional disciplinary boundaries. It involves organising complex challenges into ...

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 ...

UT Austin student Alexia Hartzell has been named a recipient of the prestigious Department of Energy award. Alexia Hartzell, a student studying physical chemistry at The University of Texas at Austin, ...

Bruce G. Buchanan Department of Computer Science University of Pittsburgh Pittsburgh, Pa. " The state of the art of artificial intelligence is changing rapidly. In a recent article, one of the leading ...

To request a copy of the slides and recording of our recent CL MS Virtual Open House webinar for prospective students, please complete this short form. Whether you’re applying this year or considering ...

To request a copy of the slides and recording of our recent CL MS Virtual Open House webinar for prospective students, please complete this short form. Whether you’re applying this year or considering ...

What is the Flatiron Institute? The Flatiron Institute is a newly opened private research institute that has an annual budget of $80m from the Simons Foundation – a non-profit organization that ...

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 ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, scientists have been using it to make accurate yet inexpensive calculations ...

Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 billion stars individually. Their AI learned how gas behaves after supernovae, ...