With efficient algorithms, well-chosen functions and enough examples, machine learning can create powerful computational models that do things we have no idea how to program. https://lnkd.in/eGUBMPRd
Quanta Magazine
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New York, NY 39,566 followers
Big ideas in science and math. Because you want to know more.
About us
Quanta Magazine’s goal is to illuminate basic science and math research through public service journalism. Each article braids the complexities of science with the malleable art of storytelling and is meticulously reported, edited and fact-checked. Launched and funded by the Simons Foundation, Quanta is editorially independent — our articles do not reflect or represent the views of the foundation.
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https://www.quantamagazine.org/
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- Book and Periodical Publishing
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- 11-50 employees
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- New York, NY
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- 2013
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Updates
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Large language models are built from “deep” neural networks with billions or even trillions of parameters. But even these behemoths, like all machine learning models, are just functions at heart — mathematical shapes. https://lnkd.in/eGUBMPRd
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In 1943, before “artificial intelligence” became a buzzword, two researchers proposed a way to teach computers how to learn based on a simple idea: Living organisms learn constantly, so why not take a cue from biology?
How Neural Networks Are Giving Back to Biology
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The mathematician Tibor Radó established the study of exhaustively long computations on Turing machines. He was no stranger to long journeys: Captured during World War I, Radó spent four years in a Siberian prison camp before escaping to Budapest. https://lnkd.in/eqcqZfGv
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Beginning in the spring of 2022, collaborators tackled a stubborn theoretical computer science problem called BB(5). This is the moment when mxdys, an anonymous user on the group’s Discord server, solved the problem using a proof assistant program. https://lnkd.in/eqcqZfGv
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A question about computation that can be asked at infinitely many tiers of complexity turned out to be dizzyingly difficult at just level five. We finally have an answer. https://lnkd.in/eqcqZfGv
Amateur Mathematicians Find Fifth ‘Busy Beaver' Turing Machine | Quanta Magazine
quantamagazine.org
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In 2022, Tristan Stérin initiated the Busy Beaver Challenge, an online collaboration to conclusively find a number that had escaped scientists for decades. “I definitely could never have done this on my own,” he said. https://lnkd.in/eqcqZfGv
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Three and a half years ago, artificial intelligence transformed the study of proteins. Prominent scientists in the field were left wondering: “what now?” It’s finally possible to start answering that question. https://lnkd.in/eFWiM76h
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When it comes to studying magnetic fields, astrophysicist Susan Clark finds that asking the right questions is sometimes just as elusive as finding the right answers. https://lnkd.in/eYds8DpV
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In 2023, tiling hobbyist David Smith found a single tile that resisted repetition at least as far as his attempts could take him. Could this be the elusive, aperiodic monotile? Tune in to this week’s “The Joy of Why.” https://lnkd.in/e2BuvJ-Q