The Covid-19 pandemic reminded us that everyday life is full of interdependencies. The data models and logic for tracking the progress of the pandemic, understanding its spread in the population, ...

Outside of tightly controlled environments, most robotic systems still struggle with reliability, generalization and cost. The gap between what we can demonstrate and what we can operate at scale ...

Alireza Doostan is leading a major effort for real-time data compression for supercomputer research. A professor in the Ann and H.J. Smead Department of Aerospace Engineering Sciences at the ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Thomson Reuters Corp. is betting big on generative artificial intelligence, and it has the data foundation in place to do so. The global provider of professional information for the legal, accounting, ...

Mathematics, like many other scientific endeavors, is increasingly using artificial intelligence. Of course, math is the ...

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