i'm sympathetic to the idea that, in some sense, there's no spooky essences in the world. O, in principle, if we could teach the computer all those things, tat would know everything there is to know? I'm not sure. But i think that we have failed to be sufficiently inscrutable here. Everything we've said is too easy to understand. So i want to move on to a your more recent work on tropy, cause i like, i like the word antropy. This is the mistake i made to the audience, i read that you had a paper and the word entropy was in the title, and i thought that i'd be able
Mathematics is often thought of as the pinnacle of crisp precision: the square of the hypotenuse of a right triangle isn’t “roughly” the sum of the squares of the other two sides, it’s exactly that. But we live in a world of messy imprecision, and increasingly we need sophisticated techniques to quantify and deal with approximate statistical relations rather than perfect ones. Modern mathematicians have noticed, and are taking up the challenge. Tai-Danae Bradley is a mathematician who employs very high-level ideas — category theory, topology, quantum probability theory — to analyze real-world phenomena like the structure of natural-language speech. We explore a number of cool ideas and what kinds of places they are leading us to.
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Tai-Danae Bradley received her Ph.D. in mathematics from the CUNY Graduate Center. She is currently a research mathematician at Alphabet, visiting research professor of mathematics at The Master’s University, and executive director of the Math3ma Institute. She hosts an explanatory mathematics blog, Math3ma. She is the co-author of the graduate-level textbook Topology: A Categorical Approach.
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