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[:es]Researchers Revise Recipe for Building a Rocky Planet Like Earth[:]

Over the past decade, researchers have completely rewritten the story of how gas giants such as Jupiter and Saturn form. They’re now debating whether the same process might hold for […]
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[:es]Surprising Limits Discovered in Quest for Optimal Solutions[:]

Algorithms that zero in on solutions to optimization problems are the beating heart of machine reasoning. New results reveal surprising limits.
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[:es]Is the Great Neutrino Puzzle Pointing to Multiple Missing Particles?[:]

Years of conflicting neutrino measurements have led physicists to propose a “dark sector” of invisible particles — one that could simultaneously explain dark matter, the puzzling expansion of the universe, […]
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[:es]An Ultra-Precise Clock Shows How to Link the Quantum World With Gravity[:]

Time was found to flow differently between the top and bottom of a single cloud of atoms. Physicists hope that such a system will one day help them combine quantum […]
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[:es]The Brain Processes Speech in Parallel With Other Sounds[:]

Scientists thought that the brain’s hearing centers might just process speech along with other sounds. But new work suggests that speech gets some special treatment very early on.
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[:es]A Hint of Dark Matter Sends Physicists Looking to the Skies[:]

After a search of neutron stars finds preliminary evidence for hypothetical dark matter particles called axions, astrophysicists are devising new ways to spot them.
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[:es]Neuron Bursts Can Mimic Famous AI Learning Strategy[:]

A new model of learning centers on bursts of neural activity that act as teaching signals — approximating backpropagation, the algorithm behind learning in AI.
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[:es]How Animals Map 3D Spaces Surprises Brain Researchers[:]

When animals move through 3D spaces, the neat system of grid cell activity they use for navigating on flat surfaces gets more disorderly. That has implications for some ideas about […]
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[:es]A New Link to an Old Model Could Crack the Mystery of Deep Learning[:]

To help them explain the shocking success of deep neural networks, researchers are turning to older but better-understood models of machine learning.