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Illuminating basic science and math research through public service journalism
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New Proof Finds the ‘Ultimate Instability’ in a Solar System Model
For the first time, mathematicians have proved that planetary orbits in a solar system will always be unstable.
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Memories Help Brains Recognize New Events Worth Remembering | Quanta Magazine
Memories may affect how well the brain will learn about future events by shifting our perceptions of the world.
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Are There Reasons to Believe in a Multiverse?
Several areas of physics suggest reasons to think that unobservable universes with different natural laws could lie beyond ours. The theoretical physicist David Kaplan talks with Steven Strogatz about the mysteries that a multiverse would solve.
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Secret Messages Can Hide in AI-Generated Media
In steganography, an ordinary message masks the presence of a secret communication. Humans can never do it perfectly, but a new study shows it’s possible for machines.
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Some Neural Networks Learn Language Like Humans
Researchers uncover striking parallels in the ways that humans and machine learning models acquire language skills.
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Math Patterns That Go On Forever but Never Repeat
Simple math can help explain the complexities of the newly discovered aperiodic monotile.
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Is It Real or Imagined? How Your Brain Tells the Difference.
New experiments show that the brain distinguishes between perceived and imagined mental images by checking whether they cross a “reality threshold.”
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The Physicist Who Glues Together Universes
Renate Loll has helped pioneer a radically new approach to quantum gravity. She assumes that the fabric of space-time is a blend of all possible fabrics, and she has developed the computational tools needed to calculate the far-reaching implications of that…
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How 3D Changes in the Genome Turned Sharks Into Skates
Changes in the 3D structure of their genome gave skates and rays their distinctive winglike fins and pancake flatness.
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Data Compression Drives the Internet. Here’s How It Works.
One student’s desire to get out of a final exam led to the ubiquitous algorithm that shrinks data without sacrificing information.
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What Is the Nature of Consciousness?
Consciousness, our experience of being in the world, is one of the mind’s greatest mysteries, but as the neuroscientist Anil Seth explains to Steven Strogatz, research is making progress in understanding this elusive phenomenon.
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How Math Has Changed the Shape of Gerrymandering | Quanta Magazine
New tools make it possible to detect hidden manipulation of maps.
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First-Year Graduate Finds Paradoxical Number Set | Quanta Magazine
No two pairs have the same sum; add three numbers together, and you can get any whole number.
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In New Paradox, Black Holes Appear to Evade Heat Death
The puzzling behavior of black hole interiors has led researchers to propose a new physical law: the second law of quantum complexity.
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An Explorer of Abyssal Depths Looks to Oceans on Other Worlds
The marine geochemist Chris German brings decades of experience studying seafloor hydrothermal vents to NASA’s preparations for visits to other ocean worlds in our solar system.
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Sparse Networks Come to the Aid of Big Physics
A novel type of neural network is helping physicists with the daunting challenge of data analysis.
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A New Experiment Casts Doubt on the Leading Theory of the Nucleus
By measuring inflated helium nuclei, physicists have challenged our best understanding of the force that binds protons and neutrons.
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‘Embryo Models’ Challenge Legal, Ethical and Biological Concepts | Quanta Magazine
With embryolike constructs built entirely from stem cells, researchers can revolutionize our understanding of development. But how close to an embryo is too close?
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What Causes Giant Rogue Waves?
Once dismissed as myths, monstrous rogue waves that tower over ships and appear without warning are real. Wave-science researcher Ton van den Bremer and Steven Strogatz discuss how rogue waves can form in relatively calm seas and whether their threat can…
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Flow Proof Helps Mathematicians Find Stability in Chaos | Quanta Magazine
A series of new papers describes how to fully characterize key dynamical systems with relatively little data.
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Neural Networks Need Data to Learn. Even If It’s Fake.
Real data can be hard to get, so researchers are turning to synthetic data to train their artificial intelligence systems.
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