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ARTIFICIAL INTELLIGENCE

 

Foundations Built for a General Theory of Neural Networks

By  KEVIN HARTNETT

Neural networks can be as unpredictable as they are powerful. Now mathematicians are beginning to reveal how a neural network’s form will influence its function.

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ARTIFICIAL INTELLIGENCE(2018)
 

Machine Learning Confronts the Elephant in the Room

By  KEVIN HARTNETT

A visual prank exposes an Achilles’ heel of computer vision systems: Unlike humans, they can’t do a double take.

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WIRED TO LEARN: THE NEXT AI(2017)
 

New Theory Cracks Open the Black Box of Deep Learning

By  NATALIE WOLCHOVER

An idea called the “information bottleneck” is helping to explain the puzzling success of today’s artificial-intelligence algorithms.

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IN THEORY
 

The Trouble With Turbulence

By  MICHAEL MOYER

Turbulence is everywhere, yet it is one of the most difficult concepts for physicists to understand.

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FLUID DYNAMICS(2018)
 

Mathematicians Tame Turbulence in Flattened Fluids

By  JOSHUA SOKOL

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QUANTIZED COLUMNS

 

The Double Life of Black Holes

By  SABINE HOSSENFELDER

Perfect black holes are versatile mathematical tools. Just don’t mistake them for the real thing.

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QUANTIZED COLUMNS(2018)
 

Black Hole Echoes Would Reveal Break With Einstein’s Theory

By  SABINE HOSSENFELDER

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ABSTRACTIONS BLOG

 

Why Evolution Reversed These Insects’ Sex Organs

By  JORDANA CEPELEWICZ

Among these cave insects, the females evolved to have penises — twice. The reasons challenge common assumptions about sex.

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GENETICS(2017)
 

Choosy Eggs May Pick Sperm for Their Genes, Defying Mendel’s Law

By  CARRIE ARNOLD

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PODCAST

 

Decades-Old Graph Problem Yields to Amateur Mathematician

By making the first progress on the “chromatic number of the plane” problem in over 60 years, an anti-aging pundit has achieved mathematical immortality.

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