Quanta
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![[:es]Mathematicians Transcend Geometric Theory of Motion[:]](https://katedra.eus/app/uploads/2021/12/Doors_v01_2560_op.jpg)
[:es]Mathematicians Transcend Geometric Theory of Motion[:]
More than 30 years ago, Andreas Floer changed geometry. Now, two mathematicians have finally figured out how to extend his revolutionary perspective.
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![[:es]New Brain Maps Can Predict Behaviors[:]](https://katedra.eus/app/uploads/2021/12/Neuroglancer_01.jpg)
[:es]New Brain Maps Can Predict Behaviors[:]
Rapid advances in large-scale connectomics are beginning to spotlight the importance of individual variations in the neural circuitry. They also highlight the limitations of “wiring diagrams” alone.
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![[:es]Wildfires of Varying Intensity Can Be Good for Biodiversity[:]](https://katedra.eus/app/uploads/2021/11/Australia-Forest-Fire_2560_Lede.jpg)
[:es]Wildfires of Varying Intensity Can Be Good for Biodiversity[:]
The spate of furious wildfires around the world during the past decade has revealed to ecologists how much biodiversity and “pyrodiversity” go hand in hand.
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![[:es]Researchers Defeat Randomness to Create Ideal Code[:]](https://katedra.eus/app/uploads/2021/11/Expander-Graphs-Pages_2560_lede.jpg)
[:es]Researchers Defeat Randomness to Create Ideal Code[:]
By carefully constructing a multidimensional and well-connected graph, a team of researchers has finally created a long-sought locally testable code that can immediately betray whether it’s been corrupted.
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![[:es]The Algorithm That Lets Particle Physicists Count Higher Than Two[:]](https://katedra.eus/app/uploads/2021/11/Laporta_1920x1080_Lede.jpg)
[:es]The Algorithm That Lets Particle Physicists Count Higher Than Two[:]
Through his encyclopedic study of the electron, an obscure figure named Stefano Laporta found a handle on the subatomic world’s fearsome complexity. His algorithm has swept the field.
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![[:es]What Hot Dogs Can Teach Us About Number Theory[:]](https://katedra.eus/app/uploads/2021/11/Hotdogs_2600_Lede-scaled.jpg)
[:es]What Hot Dogs Can Teach Us About Number Theory[:]
The Chinese remainder theorem is an ancient and powerful extension of the simple math of least common multiples.
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![[:es]To Be Energy-Efficient, Brains Predict Their Perceptions[:]](https://katedra.eus/app/uploads/2021/11/Predicitve-Coding_2K_Lede-scaled.jpg)
[:es]To Be Energy-Efficient, Brains Predict Their Perceptions[:]
Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy.

![[:es]What Does It Mean for AI to Understand?[:]](https://katedra.eus/app/uploads/2021/12/AI-Understanding_2560_Lede.jpg)
![[:es]Will We Ever Get Rid of COVID-19?[:]](https://katedra.eus/app/uploads/2021/12/COVID-Eradication_2560_Lede.jpg)