Jaime Hoerricks, PhD
speaker
642 appearances
5 recordings
2 series
first heard Dec 2024
last heard 20 Dec
Jaime Hoerricks, PhD’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Dec 2025 with 1.
Appearances
Knot theory is about how you can embed a loop in three-dimensional space, and it actually connects to things like topology and even quantum physics.
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Well, every knot has certain mathematical properties called invariants.
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It's kind of like its fingerprint.
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Davy's team used machine learning to analyze a massive amount of these invariants.
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What's amazing is the AI didn't just process the data, it actually found hidden relationships between these invariants, which led to new conjectures that mathematicians hadn't even considered before.
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Like the AI was pointing the way to new mathematical truths.
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Absolutely.
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Another cool example is Lampell and Charton's work in twenty nineteen.
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They trained AI on a massive data set of math formulas.
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Well, this AI could accurately predict the next formula in a sequence, even for really complex ones.
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It was like the AI was learning the grammar of math and could guess what might come next.
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And that brings us back to Yang Hu-Hi.
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His work with those Calabio manifolds, analyzing them as pixelated forms, that was a huge breakthrough.
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Showed that AI could take on algebraic geometry problems in a totally new way.
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Exactly.
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And that bridge leads to some really mind-bending possibilities.
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Yang Hui, he and his colleagues started exploring something they call murmuration.
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It's a great analogy.
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Think of a flock of birds moving together like one.
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Each bird reacts to the ones around it, and you get these complex, beautiful patterns.
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