In “Still Life With Bones,” the anthropologist Alexa Hagerty describes how she learned to see the dead with a forensic eye and to listen to the living.
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Arianna Rosenbluth Dies at 93; Pioneering Figure in Data Science
Dr. Rosenbluth, who received her physics Ph.D. at 21, helped create an algorithm that has become a foundation of understanding huge quantities of data. She died of complications of the coronavirus.
Dr. Arianna Wright Rosenbluth in 2013. She helped create what has become one of the most important algorithms of all time. Credit.via Rosenbluth family
Published Feb. 9, 2021Updated Feb. 15, 2021
The Metropolis algorithm, a technique for generating random samplings, started out as a way to understand a fundamental problem: how atoms rearrange themselves as solids melt.
Over the decades, the Metropolis algorithm and its subsequent variations have been put to a vast number of uses and now serve as an underpinning to understanding critical challenges of our age, including making sense of huge volumes of data, predicting election outcomes and understanding Covid-19’s spread.