Friday, February 11, 2022

Quantum Complexity Tamed by Machine Learning

Math and Science News from Quanta Magazine
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QUANTUM PHYSICS | ALL TOPICS

 

Quantum Complexity Tamed by Machine Learning

By CHARLIE WOOD

If scientists understood exactly how electrons act in molecules, they could predict the behavior of everything from experimental drugs to high-temperature superconductors. Following decades of physics-based insights, artificial intelligence systems are taking the next leap.

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NEUROSCIENCE

 

New Map of Meaning in the Brain Changes Ideas About Memory

By JORDANA CEPELEWICZ

Researchers have mapped hundreds of semantic categories to the tiny bits of the cortex that represent them in our thoughts and perceptions. What they discovered might change our view of memory.

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Related: 
Neural Noise Shows the
Uncertainty of Our Memories

by Veronique Greenwood

GEOMETRY

 

An Ancient Geometry Problem Falls to New Techniques

By STEVE NADIS

Three mathematicians show, for the first time, how to form a square with the same area as a circle by cutting the figures into interchangeable pieces that can be visualized.

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Related: 
In Mathematics, It Often Takes a Good Map to Find Answers
by Kevin Hartnett (2020)

ARTIFICIAL INTELLIGENCE

 

Computer Scientists Prove Why Bigger Neural Networks Do Better

By MORDECHAI RORVIG

Two researchers show that for neural networks to be able to remember better, they need far more parameters than previously thought.

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Related: 
Researchers Build AI That Builds AI
by Anil Ananthaswamy

Around the Web

Earth's Inner Secrets
Earth's solid inner core might be far more exotic than geophysicists had thought. For Science News, Emily Conover reports on new evidence that the innermost core is "superionic." The superionic phase of matter has previously been studied in water. Planetary scientists suspect that superionic ice might compose the bulk of large, icy worlds like Uranus and Neptune, Joshua Sokol reported for Quanta in 2019.



100 Years of Quantum Spin
A century ago Otto Stern and Walther Gerlach performed an experiment that proved the existence of quantum spin, as Davide Castelvecchi describes for Scientific American on the centennial of the Stern-Gerlach experiment. Even after 100 years, we're still trying to understand the implications of Stern-Gerlach and other quantum experiments. Sean Carroll wrote for Quanta in 2019 about various interpretations of quantum mechanics, including the Many Worlds hypothesis.
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