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Barbara Engelhardt, a computer scientist at Princeton University, explains why traditional machine-learning techniques have often fallen short for genomic analysis, and how researchers are overcoming that challenge.

Barbara Engelhardt on How to Improve Statistical Analyses of Genomes

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Barbara Engelhardt, a computer scientist at Princeton University, explains why traditional machine-learning techniques have often fallen short for genomic analysis, and how researchers are overcoming that challenge.

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Sarah Blesener for Quanta Magazine


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How AI Learns to ‘See’

08:38

How to Build a Telescope to See the Early Universe

06:43

When Computers Write Proofs, What’s the Point of Mathematicians?

06:33

The Cryptographer Working to Protect Computations

06:53

A Bet Against Quantum Gravity

00:06:43

The Digital Quest for Quantum Gravity

5:19

She Tracks Wildlife eDNA on Everest and in the Andes

06:39

The Computer Scientist Taking on Big Tech: Privacy, Lies and AI

05:13
Richard Rusczyk visiting students in an Art of Problem Solving classroom.

One Man’s Mission to Unveil Math’s Beauty

7:10

The Deep Mystery at the Heart of Life on Earth

7:03

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Explainers

P vs. NP – The Greatest Unsolved Problem in Computer Science

Christopher Webb Young/Quanta Magazine

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Is it possible to invent a computer that computes anything in a flash? Or could some problems stump even the most powerful of computers? Computational complexity theorists study these questions and others in the hopes of determining the limits of a computer’s powers.

Interviews

How AI Learns to ‘See’

Video: Emily Buder/Quanta Magazine; Photo: Peter DaSilva for Quanta Magazine

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Alexei Efros describes how he combines massive online data sets with machine learning algorithms to understand, model and re-create the visual world.

Discoveries

Unlocking the Secrets of Our Circadian Rhythms

Christopher Webb Young/Quanta Magazine; Sean Patrick Farrell and Brian Monroe for Quanta Magazine

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The trailblazing work of the biochemist Carrie Partch has revealed crucial details about how clock proteins in our cells produce our daily circadian rhythm.

Interviews

How to Build a Telescope to See the Early Universe

Christopher Webb Young/Quanta Magazine

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Cynthia Chiang describes the experiments she hopes will illuminate the early universe.

Interviews

When Computers Write Proofs, What’s the Point of Mathematicians?

Video: Emily Buder/Quanta Magazine; Photo: Alex Tran for Quanta Magazine

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Andrew Granville muses on how artificial intelligence could profoundly change math.

Explainers

Math’s Famous Map Problem: The Four-Color Theorem

Joy Ng for Quanta Magazine

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David Richeson discusses the history and significance of the four color theorem.

Interviews

The Cryptographer Working to Protect Computations

Christopher Webb Young/Quanta Magazine; Noah Hutton for Quanta Magazine

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Kalai discusses the meaning of cryptography and how essential it is to our daily lives.

Interviews

A Bet Against Quantum Gravity

Christopher Webb Young/Quanta Magazine; Noah Hutton for Quanta Magazine

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Oppenheim describes why he thinks gravity can’t be squeezed into the same quantum box as the other fundamental forces — and what he’s proposing as an alternative.

A video exploring the quantum complexity of black holes.
Discoveries

Can a New Law of Physics Explain a Black Hole Paradox?

Christopher Webb Young/Quanta Magazine

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Leonard Susskind and collaborators set out to understand why black hole interiors grow forever. They ended up proposing a new law of physics.


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