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[:es]Artificial Neural Nets Finally Yield Clues to How Brains Learn[:]

[:es]The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could.[:]
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[:es]Zen and the Art of Puzzle Solving[:]

[:es]Sometimes the act of solving a puzzle can itself reveal hidden insights.[:]
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[:es]Brain’s ‘Background Noise’ May Hold Clues to Persistent Mysteries[:]

[:es]By digging out signals hidden within the brain’s electrical chatter, scientists are getting new insights into sleep, aging and more.[:]
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[:es]Some Proteins Change Their Folds to Perform Different Jobs[:]

[:es]Unusual proteins that can quickly fold into different shapes provide cells with a novel regulatory mechanism.[:]
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[:es]Tetrahedron Solutions Finally Proved Decades After Computer Search[:]

[:es]Four mathematicians have cataloged all the tetrahedra with rational angles, resolving a question about basic geometric shapes using techniques from number theory.[:]
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[:es]The Hard Lessons of Modeling the Coronavirus Pandemic[:]

[:es]In the fight against COVID-19, disease modelers have struggled with misunderstanding and misuse of their work. They have also come to realize how unready the state of modeling was for […]
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[:es]Topology 101: The Hole Truth[:]

[:es]The relationships among the properties of flexible shapes have fascinated mathematicians for centuries. [:]
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[:es]Physicists Study How Universes Might Bubble Up and Collide[:]

[:es]Since they can’t prod actual universes as they inflate and bump into each other in the hypothetical multiverse, physicists are studying digital and physical analogs of the process. [:]
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[:es]Secret Ingredient Found to Power Supernovas[:]

[:es]Three-dimensional supernova simulations have solved the mystery of why they explode at all. [:]