Friday, February 18, 2022

Machine Learning Becomes a Mathematical Collaborator

Math and Science News from Quanta Magazine
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MACHINE LEARNING | ALL TOPICS

 

Machine Learning Becomes a Mathematical Collaborator

By KELSEY HOUSTON-EDWARDS

Two recent collaborations between mathematicians and DeepMind demonstrate the potential of machine learning to help researchers generate new mathematical conjectures.

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PARTICLE PHYSICS

 

The Mysterious Forces Inside the Nucleus Grow a Little Less Strange

By CHARLIE WOOD

The strong force holds protons and neutrons together, but the theory behind it is largely inscrutable. Two new approaches show how it works.

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Related: 
What Goes On in a Proton? Quark Math
Still Conflicts With Experiments.

by Charlie Wood (2020)

SEX

 

A Billion Years Before Sex, Ancient Cells Were Equipped for It 

By JAKE BUEHLER

Molecular detective work is zeroing in on the origins of sexual reproduction. The protein tools for cell mergers seem to have long predated sex — so what were they doing?

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Related:
Why Sex? Biologists Find
New Explanations.

by Christie Wilcox (2020)

NEURAL NETWORKS

 

AI Overcomes Stumbling Block on Brain-Inspired Hardware

By ALLISON WHITTEN

The biggest neural networks consume nearly as much power as five cars do over their lifetimes. New work may help bring the brain's energy-efficient computing to AI.

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Related:
To Be Energy-Efficient, Brains
Predict Their Perceptions

by Anil Ananthaswamy (2021)

QUANTA SCIENCE PODCAST

 

Mathematicians Outwit Hidden Number Conspiracy

Podcast hosted by SUSAN VALOT;
Story by JORDANA CEPELEWICZ

Decades ago, a mathematician posed a warmup problem for some of the most difficult questions about prime numbers. It turned out to be just as difficult to solve, until now.

Listen to the podcast

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Around the Web

Narrowing a Massive Mystery
A new measurement of the neutrino's mass places the tightest bound yet on its upper limit, at just 0.8 eV. Davide Castelvecchi reports for Nature on the newest result from the KATRIN collaboration. Figuring out the mass of the neutrino could help solve big mysteries about the Standard Model of particle physics. The KATRIN experiment is trying to do just that, Marcus Woo wrote for Quanta in 2019.

Putting the Art in Artificial Intelligence
Researchers are using AI for creative tasks like painting and composing original music, reports Richard Moss for Science News. Some think that injecting creativity into AI algorithms will be the key steppingstone to building truly intelligent machines. For an algorithm's solutions to be creative and open-ended, the problems must be open-ended, too. Matthew Hutson wrote about it for Quanta in 2019.
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