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Max G. Levy

Contributing Writer

Latest Articles

illustration of abstract, boxy-looking robot surrounded by household items such as a knife and a guitar, all of which have labels attached.
artificial intelligence

Machines Learn Better if We Teach Them the Basics

By Max G. Levy
February 1, 2023
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A wave of research improves reinforcement learning algorithms by pre-training them as if they were human.

Anima Anandkumar in a red dress holds a green cloth over her head
Q&A

The AI Researcher Giving Her Field Its Bitter Medicine

By Max G. Levy
August 30, 2022
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Anima Anandkumar wants computer scientists to move beyond the matrix, among other challenges.

Photo of an array of metal tubes and glass pieces, with an orange laser cutting horizontally across
machine learning

Machine Learning Gets a Quantum Speedup

By Max G. Levy
February 4, 2022
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Two teams have shown how quantum approaches can solve problems faster than classical computers, bringing physics and computer science closer together.

A graphic of global air travel.
polynomials

Surprising Limits Discovered in Quest for Optimal Solutions

By Max G. Levy
November 1, 2021
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Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits.

An orange ball decomposing into points and rematerializing as two balls, each the same size as the first.
explainers

Banach-Tarski and the Paradox of Infinite Cloning

By Max G. Levy
August 26, 2021
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One of the strangest results in mathematics explains how it’s possible to turn one sphere into two identical copies, simply by rearranging its pieces.

Po-Shen Loh standing on a stairway in front of a colored wall outside of his office in Pittsburgh.
Q&A

The Coach Who Led the U.S. Math Team Back to the Top

By Max G. Levy
February 16, 2021
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Po-Shen Loh has harnessed his competitive impulses and iconoclastic tendencies to reinvigorate the U.S. Math Olympiad program.

An animation showing chaotic swirls of purple coalesce into a single line
Abstractions blog

New Quantum Algorithms Finally Crack Nonlinear Equations

By Max G. Levy
January 5, 2021
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Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.

About the author

Max G. Levy is a science journalist based in Los Angeles. He earned a doctorate in chemical engineering from the University of Colorado, Boulder, and is an assistant editor at Massive Science. His writing has appeared in Smithsonian Magazine, The Verge and Vox. You can find more of his work at maxglevy.com.
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