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[:es]What Does It Mean for AI to Understand?[:]

[:es]It’s simple enough for AI to seem to comprehend data, but devising a true test of a machine’s knowledge has proved difficult.[:]
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[:es]Mathematicians Transcend Geometric Theory of Motion[:]

[:es]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[:]

[:es]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]Will We Ever Get Rid of COVID-19?[:]

[:es]No matter how much we’d like to eradicate SARS-CoV-2, it may be better to settle for other forms of control.[:]
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[:es]Wildfires of Varying Intensity Can Be Good for Biodiversity[:]

[:es]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[:]

[:es]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[:]

[:es]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[:]

[:es]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[:]

[:es]Results from neural networks support the idea that brains are “prediction machines” — and that they work that way to conserve energy. [:]