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big data

Latest Articles

A blue person made of code walks down a pink road patterned with hexagons
algorithms

Best-Ever Algorithm Found for Huge Streams of Data

By Kevin Hartnett
October 24, 2017
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To efficiently analyze a firehose of data, scientists first have to break big numbers into bits.

Q&A

Wanted: More Data, the Dirtier the Better

By Esther Landhuis
June 6, 2017
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The computational immunologist Purvesh Khatri embraces messy data as a way to capture the messiness of disease. As a result, he’s making elusive genomic discoveries.

Tidal pool with ocean life
Abstractions blog

Awash in Sea of Data, Ecologists Turn to Open Access Tools

By John Rennie
May 24, 2017
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To assess the ocean’s health, ecology’s “rugged individualists” learned to get with the big data program.

Quantized Columns

Big Data’s Mathematical Mysteries

By Ingrid Daubechies
December 3, 2015
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Machine learning works spectacularly well, but mathematicians aren’t quite sure why.

Data Driven: The New Big Science

The Future Fabric of Data Analysis

By Jennifer Ouellette
October 9, 2013
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The nature of computing has changed dramatically over the last decade, and more innovation is needed to weather the gathering data storm.

Data Driven: The New Big Science

Our Bodies, Our Data

By Emily Singer
October 7, 2013
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New technologies have launched the life sciences into the age of big data. Biologists must now make sense of their windfall.

Data Driven: The New Big Science

The Mathematical Shape of Things to Come

By Jennifer Ouellette
October 4, 2013
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Scientific data sets are becoming more dynamic, requiring new mathematical techniques on par with the invention of calculus.

Data Driven: The New Big Science

A Digital Copy of the Universe, Encrypted

By Natalie Wolchover
October 2, 2013
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As physics prepares for ambitious projects like the Large Synoptic Survey Telescope, the field is seeking new methods of data-driven discovery.

Data Driven: The New Big Science

Imagining Data Without Division

By Thomas Lin
September 30, 2013
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As science dives headlong into an ocean of data, the demands of large-scale interdisciplinary collaborations are growing increasingly acute.


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