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Machine Learning and Analytics

Simulations Reveal An Unusual Death for Ancient Stars

Simulations reveal that giant primordial stars may have exploded as supernovae and burned completely, leaving no remnant black hole behind.


To Bridge LEDs’ Green Gap, Scientists Think Small

Computer simulations suggest that the strong quantum confinement in nanowires of indium nitride (InN) could hold the key to efficient green LEDs. Using ParaView, Burlen Loring assisted researchers by ...


Image Recognition to Speed Cervical Cancer Screenings

Daniela Ushizima of the Visualization and Analytics Group working with Brazilian collaborators won a biomedical imaging challenge using pattern recognition algorithms developed to characterize new mat...

The Machine Learning & Analytics Group conceives, designs, and implements new methods in high-performance machine learning, data and image analytics, computational geometry and topology, and visualization technologies. Our work involves a mix of theoretical research and applied research. The group works in close collaboration with scientific partners to identify and address challenging, large-scale, data-rich problems emerging from simulations, experiments, and observations.

Group Leader: Michael Mahoney