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artificial intelligence

Neural Networks Need Data to Learn. Even If It’s Fake.

By Amos Zeeberg
June 16, 2023
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Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.

A robot hand plucks a puzzle piece with a particle from a mostly empty puzzle.
neural networks

Sparse Networks Come to the Aid of Big Physics

By Steve Nadis
June 8, 2023
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A novel type of neural network is helping physicists with the daunting challenge of data analysis.

Q&A

The Computer Scientist Peering Inside AI’s Black Boxes

By Allison Parshall
April 27, 2023
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Cynthia Rudin wants machine learning models, responsible for increasingly important decisions, to show their work.

Arvind Narayanan
Q&A

The Researcher Who Would Teach Machines to Be Fair

By Sheon Han
March 10, 2023
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Arvind Narayanan uses quantitative methods to expose and correct the misuse of quantitative methods.

graph theory

How Big Data Carried Graph Theory Into New Dimensions

By Stephen Ornes
August 19, 2021
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Researchers are turning to the mathematics of higher-order interactions to better model the complex connections within their data.

A close-up, head-on portrait of computer scientist Rediet Abebe.
Q&A

A Computer Scientist Who Tackles Inequality Through Algorithms

By Rachel Crowell
April 1, 2021
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Rediet Abebe uses the tools of theoretical computer science to understand pressing social problems — and try to fix them.

Q&A

The Computer Scientist Who Shrinks Big Data

By Allison Whitten
December 7, 2020
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Jelani Nelson designs clever algorithms that only have to remember slivers of massive data sets. He also teaches kids in Ethiopia how to code.

Photo of Mario Jurić
Q&A

Prepping for a Flood of Heavenly Bodies

By Liz Kruesi
October 24, 2018
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Mario Jurić is leading the push to get astronomy ready for the torrents of data that are about to flow.

Photo of Judea Pearl
Q&A

To Build Truly Intelligent Machines, Teach Them Cause and Effect

By Kevin Hartnett
May 15, 2018
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Judea Pearl, a pioneering figure in artificial intelligence, argues that AI has been stuck in a decades-long rut. His prescription for progress? Teach machines to understand the question why.


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